Browse by UCL people
Group by: Type | Date
Number of items: 88.
Article
Acs, G;
Melis, L;
Castelluccia, C;
De Cristofaro, E;
(2018)
Differentially Private Mixture of Generative Neural Networks.
IEEE Transactions on Knowledge and Data Engineering
, 31
(6)
pp. 1109-1121.
10.1109/TKDE.2018.2855136.
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Asghar, HJ;
De Cristofaro, E;
Jourjon, G;
Kaafar, MA;
Mathy, L;
Melis, L;
Russell, C;
(2019)
Fast privacy-preserving network function outsourcing.
Computer Networks
, 163
10.1016/j.comnet.2019.106893.
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Bin Zia, H;
Raman, A;
Castro, I;
Hassan Anaobi, I;
De Cristofaro, E;
Sastry, N;
Tyson, G;
(2022)
Toxicity in the Decentralized Web and the Potential for Model Sharing.
Proceedings of the ACM on Measurement and Analysis of Computing Systems
, 6
(2)
pp. 1-25.
10.1145/3530901.
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Chatzakou, D;
Leontiadis, I;
Blackburn, J;
De Cristofaro, E;
Stringhini, G;
Vakali, A;
Kourtellis, N;
(2019)
Detecting cyberbullying and cyberaggression in social media.
ACM Transactions on the Web (TWEB)
, 13
(3)
, Article 17. 10.1145/3343484.
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De Cristofaro, E;
(2021)
A Critical Overview of Privacy in Machine Learning.
IEEE Security and Privacy
, 19
(4)
pp. 19-27.
10.1109/MSEC.2021.3076443.
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Doerfler, P;
Forte, A;
De Cristofaro, E;
Stringhini, G;
Blackburn, J;
McCoy, D;
(2021)
"I'm a Professor, which isn't usually a dangerous job": Internet-facilitated Harassment and Its Impact on Researchers.
Proceedings of the ACM on Human-Computer Interaction
, 5
(2)
, Article 341. 10.1145/3476082.
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Ganev, Georgi;
Oprisanu, Bristena;
Cristofaro, Emiliano De;
(2022)
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data.
Proceedings of the 39th International Conference on Machine Learning (ICML 2022)
, 162
pp. 6944-6959.
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Haddadi, H;
Nithyanand, R;
Khattak, S;
Javed, M;
Vallina-Rodriguez, N;
Falahrastegar, M;
Powles, JE;
... Murdoch, SJ; + view all
(2016)
The Adblocking Tug-of-War.
;login: The USENIX Magazine
, 41
(4)
pp. 41-43.
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Ikram, M;
Onwuzurike, L;
Farooqi, S;
Cristofaro, ED;
Friedman, A;
Jourjon, G;
Kaafar, D;
(2017)
Measuring, Characterizing, and Detecting Facebook Like Farms.
ACM Transactions on Privacy and Security (TOPS)
, 20
(4)
, Article 13.
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Ioannou, A;
Blackburn, J;
Stringhini, G;
De Cristofaro, E;
Kourtellis, N;
Sirivianos, M;
(2018)
From risk factors to detection and intervention: a practical proposal for future work on cyberbullying.
Behaviour and Information Technology
, 37
(3)
pp. 258-266.
10.1080/0144929X.2018.1432688.
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Melis, L;
Pyrgelis, A;
De Cristofaro, E;
(2018)
On Collaborative Predictive Blacklisting.
ACM SIGCOMM Computer Communication Review
, 48
(5)
pp. 9-20.
10.1145/3310165.3310168.
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Mittos, A;
Malin, B;
De Cristofaro, E;
(2019)
Systematizing Genome Privacy Research: A Privacy-Enhancing Technologies Perspective.
Proceedings on Privacy Enhancing Technologies (PoPETs)
, 2019
(1)
pp. 87-107.
10.2478/popets-2019-0006.
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Mittos, A;
Zannettou, S;
Blackburn, J;
De Cristofaro, E;
(2020)
Analyzing Genetic Testing Discourse on the Web Through the Lens of Twitter, Reddit, and 4chan.
ACM Transactions on the Web
, 14
(4)
, Article 17. 10.1145/3404994.
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Onwuzurike, L;
Mariconti, E;
Andriotis, P;
De Cristofaro, E;
Stringhini, G;
Ross, G;
(2019)
MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version).
ACM Transactions on Privacy and Security
, 22
(2)
, Article 14. 10.1145/3313391.
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Pyrgelis, A;
Troncoso, C;
De Cristofaro, E;
(2020)
Measuring Membership Privacy on Aggregate Location Time-Series.
Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS
, 2
(4)
10.1145/3392154.
(In press).
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Proceedings paper
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Acs, G;
Melis, L;
Castelluccia, C;
De Cristofaro, E;
(2017)
Differentially Private Mixture of Generative Neural Networks.
In: Raghavan, V and Aluru, S and Karypis, G and Miele, L and Wu, X, (eds.)
Proceedings of the 17th International Workshop on Digital Mammography: 10th International Workshop, IWDM 2010, Girona, Catalonia, Spain, June 16-18, 2010.
(pp. pp. 715-720).
IEEE: Louisiana, USA.
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Ali, S;
Saeed, MH;
Aldreabi, E;
Blackburn, J;
De Cristofaro, E;
Zannettou, S;
Stringhini, G;
(2021)
Understanding the Effect of Deplatforming on Social Networks.
In:
Proceedings of the WebSci '21: 13th ACM Web Science Conference 2021.
(pp. pp. 187-195).
Association for Computing Machinery (ACM)
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Aliapoulios, M;
Bevensee, E;
Blackburn, J;
Bradlyn, B;
Cristofaro, ED;
Stringhini, G;
Zannettou, S;
(2021)
A Large Open Dataset from the Parler Social Network.
In: Budak, C and Cha, M and Quercia, D and Xie, L, (eds.)
Proceedings of the International AAAI Conference on Web and Social Media.
(pp. pp. 943-951).
Association for the Advancement of Artificial Intelligence (AAAI) Press
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Asghar, H;
Melis, L;
Soldani, C;
De Cristofaro, E;
Kaafar, MA;
Mathy, L;
(2016)
SplitBox: Toward Efficient Private Network Function Virtualization.
In: Han, D and Raz, D, (eds.)
HotMIddlebox '16: Proceedings of the 2016 workshop on Hot topics in Middleboxes and Network Function Virtualization.
(pp. pp. 7-13).
Association for Computing Machinery (ACM): New York, NY, USA.
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Balci, Utkucan;
Ling, Chen;
De Cristofaro, Emiliano;
Squire, Megan;
Stringhini, Gianluca;
Blackburn, Jeremy;
(2023)
Beyond Fish and Bicycles: Exploring the Varieties of Online Women’s Ideological Spaces.
In:
WebSci '23: Proceedings of the 15th ACM Web Science Conference 2023.
(pp. pp. 43-54).
ACM
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Beato, F;
De Cristofaro, E;
Rasmussen, KB;
(2014)
Undetectable Communication: The Online Social Networks Case.
In: Miri, A and Hengartner, U and Huang, NF and Jøsang, A and Garcia-Alfaro, J, (eds.)
2014 Twelfth Annual International Conference on Privacy, Security and Trust (PST 2014): Proceedings.
Institute of Electrical and Electronics Engineers (IEEE): 2014 Twelfth Annual International Conference on Privacy, Security and Trust (PST 2014).
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Bilogrevic, I;
Freudiger, J;
De Cristofaro, E;
Uzun, E;
(2014)
What’s the Gist? Privacy-Preserving Aggregation of User Profiles.
In:
Computer Security - ESORICS 2014.
(pp. 128- 145).
Springer International Publishing: Switzerland.
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Cerulli, A;
De Cristofaro, E;
Soriente, C;
(2018)
Nothing Refreshes Like a RePSI: Reactive Private Set Intersection.
In: Preneel, B and Vercauteren, F, (eds.)
Applied Cryptography and Network Security.
(pp. pp. 280-300).
Springer: Cham, Switzerland.
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Chaabane, A;
Chen, T;
Cunche, M;
De Cristofaro, E;
Friedman, A;
Kaafar, MA;
(2014)
Censorship in the Wild: Analyzing Internet Filtering in Syria.
In:
IMC '14: Proceedings of the 2014 Conference on Internet Measurement Conference: November 2014.
(pp. pp. 285-298).
ACM: Vancouver BC Canada.
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Chatzakou, D;
Kourtellis, N;
Blackburn, J;
Cristofaro, ED;
Stringhini, G;
Vakali, A;
(2017)
Detecting Aggressors and Bullies on Twitter.
In: Barrett, R and Cummings, R and Agichtein, E and Gabrilovich, E, (eds.)
Proceedings of the 26th International Conference on World Wide Web Companion.
(pp. pp. 767-768).
ACM: Perth, Australia.
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Chatzakou, D;
Kourtellis, N;
Blackburn, J;
De Cristofaro, E;
Stringhini, G;
Vakali, A;
(2017)
Hate is not binary: Studying abusive behavior of #GamerGate on Twitter.
In:
HT '17 Proceedings of the 28th ACM Conference on Hypertext and Social Media.
(pp. pp. 65-74).
ACM: New York, USA.
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Chatzakou, D;
Kourtellis, N;
Blackburn, J;
De Cristofaro, E;
Stringhini, G;
Vakali, A;
(2017)
Mean birds: Detecting aggression and bullying on Twitter.
In:
Proceedings of the 2017 ACM on Web Science Conference.
(pp. pp. 13-22).
ACM publishing: Troy, NY, USA.
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Chatzakou, D;
Kourtellis, N;
Blackburn, J;
De Cristofaro, E;
Stringhini, G;
Vakali, A;
(2017)
Measuring #GamerGate: A Tale of Hate, Sexism, and Bullying.
In: Barrett, R and Cummings, R and Agichtein, E and Gabrilovich, E, (eds.)
WWW '17: Companion Proceedings of the 26th International Conference on World Wide Web Companion.
(pp. pp. 1285-1290).
Association for Computing Machinery (ACM): New York, NY, USA.
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Danezis, George;
De Cristofaro, Emiliano;
(2014)
Simpler protocols for privacy-preserving disease susceptibility testing.
In: De Cristofaro, Emiliano and Murdoch, Steven J, (eds.)
Papers from the 1st PETS Workshop on Genome Privacy, held in conjunction with the 14th Privacy Enhancing Technologies Symposium.
School of Informatics and Computing, Indiana University: Indianapolis, IN, USA.
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De Cristofaro, E;
(2014)
An Exploratory Ethnographic Study of Issues and Concerns with Whole Genome Sequencing.
In: Wagner, D and Smith, M, (eds.)
(Proceedings) 8th NDSS Workshop on Usable Security (USEC 2014), 23 February 2014, San Diego, California, USA.
Internet Society
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De Cristofaro, E;
Danezis, G;
(2014)
Fast and Private Genomic Testing for Disease Susceptibility.
In:
WPES '14 Proceedings of the 13th Workshop on Privacy in the Electronic Society.
(pp. pp. 31-34).
ACM: USA.
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De Cristofaro, E;
Friedman, A;
Jourjon, G;
Kaafar, MA;
Shafiq, MZ;
(2014)
Paying for Likes? Understanding Facebook like fraud using honeypots.
In: Williamson, C and Aditya, A and Taft, N, (eds.)
IMC '14: Proceedings of the 2014 Internet Measurement Conference.
(pp. pp. 129-136).
ACM: New York, USA.
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De Cristofaro, E;
Liang, K;
Zhang, Y;
(2016)
Privacy-Preserving Genetic Relatedness Test.
In:
Proceedings of the 3rd International Workshop on Genome Privacy and Security (GenoPri'16).
International Workshop on Genome Privacy and Security: Chicago, IL, USA.
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Echeverria Guzman, J;
De Cristofaro, E;
Kourtellis, N;
Leontiadis, I;
Stringhini, G;
Zhou, S;
(2018)
LOBO: Evaluation of Generalization Deficiencies in Twitter Bot Classifiers.
In:
ACSAC '18 Proceedings of the 34th Annual Computer Security Applications Conference.
(pp. pp. 137-146).
ACM
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Efstratiou, Alexandros;
Cristofaro, Emiliano De;
(2022)
Adherence to Misinformation on Social Media Through Socio-Cognitive and Group-Based Processes.
In:
Proceedings of the 25th ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2022).
Association for Computing Machinery (ACM)
(In press).
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Farooqi, S;
Ikram, M;
De Cristofaro, E;
Friedman, A;
Jourjon, G;
Kaafar, MA;
Shafiq, Z;
(2017)
Characterizing key stakeholders in an online black-hat marketplace.
In:
Electronic Crime Research (eCrime), 2017 APWG Symposium on.
(pp. pp. 17-27).
IEEE: Scottsdale, AZ, USA.
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Freudiger, J;
Cristofaro, ED;
Brito, A;
(2015)
Controlled Data Sharing for Collaborative Predictive Blacklisting.
In: Almgren, MX and Gulisano, V and Maggi, F, (eds.)
Detection of Intrusions and Malware, and Vulnerability Assessment. DIMVA 2015. Lecture Notes in Computer Science, vol 9148.
(pp. pp. 327-349).
Springer: Cham.
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Hassan, AI;
Raman, A;
Castro, I;
Zia, HB;
Cristofaro, ED;
Sastry, N;
Tyson, G;
(2021)
Exploring Content Moderation in the Decentralised Web: The Pleroma Case.
In:
CoNEXT '21: Proceedings of the 17th International Conference on emerging Networking EXperiments and Technologies.
(pp. pp. 328-335).
Association for Computing Machinery (ACM)
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Hayes, J;
Melis, L;
Danezis, G;
De Cristofaro, E;
(2019)
LOGAN: Membership Inference Attacks Against Generative Models.
In:
Proceedings on Privacy Enhancing Technologies.
(pp. pp. 133-152).
De Gruyter
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Hine, G;
Onaolapo, J;
De Cristofaro, E;
Kourtellis, N;
Leontiadis, I;
Samaras, R;
Stringhini, G;
(2017)
Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and its Effects on the Web.
In: Gonzalez-Bailon, S and Marwick, A and Mason, W, (eds.)
Proceedings of the Eleventh International AAAI Conference on Web and Social Media (ICWSM 2017).
(pp. pp. 92-101).
Association for the Advancement of Artificial Intelligence (AAAI): Montreal, Canada.
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Horta Ribeiro, M;
Jhaver, S;
Zannettou, S;
Blackburn, J;
Stringhini, G;
De Cristofaro, E;
West, R;
(2021)
Do Platform Migrations Compromise Content Moderation? Evidence from r/The_Donald and r/Incels.
In:
Proceedings of the ACM on Human-Computer Interaction.
(pp. pp. 1-24).
ACM
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Kotonya, N;
Cristofaro, PD;
Cristofaro, ED;
(2018)
Of Wines and Reviews: Measuring and Modeling the Vivino Wine Social Network.
In:
2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM).
(pp. pp. 387-392).
IEEE
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Krol, K;
Philippou, E;
Cristofaro, ED;
Sasse, MA;
(2015)
"`They brought in the horrible key ring thing!" Analysing the Usability of Two-Factor Authentication in UK Online Banking.
In:
The 2015 Network and Distributed System Security (NDSS) Symposium: USEC Workshop.
The Internet Society: Reston, US.
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Krol, K;
Rahman, MS;
Parkin, S;
De Cristofaro, E;
Vasserman, E;
(2016)
An Exploratory Study of User Perceptions of Payment Methods in the UK and the US.
In:
Proceedings of NDSS Workshop on Usable Security (USEC 2016).
Internet Society: San Diego, CA, USA.
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Ling, C;
Blackburn, J;
De Cristofaro, E;
Stringhini, G;
(2022)
Slapping Cats, Bopping Heads, and Oreo Shakes: Understanding Indicators of Virality in TikTok Short Videos.
In:
WebSci '22: 14th ACM Web Science Conference 2022.
(pp. pp. 164-173).
ACM: New York, NY, United States.
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Ling, C;
AbuHilal, I;
Blackburn, J;
Cristofaro, ED;
Zannettou, S;
Stringhini, G;
(2021)
Dissecting the Meme Magic: Understanding Indicators of Virality in Image Memes.
In:
Proceedings of the ACM on Human-Computer Interaction.
Association for Computing Machinery (ACM): New York, NY, USA.
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Liu, Yugeng;
Wen, Rui;
He, Xinlei;
Salem, Ahmed;
Zhang, Zhikun;
Backes, Michael;
De Cristofaro, Emiliano;
... Zhang, Yang; + view all
(2022)
ML-DOCTOR: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models.
In:
Proceedings of the 31st USENIX Security Symposium.
(pp. pp. 4525-4542).
USENIX
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Mariconti, E;
Onwuzurike, L;
Andriotis, P;
De Cristofaro, E;
Ross, G;
Stringhini, G;
(2017)
MamaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models.
In:
Proceedings of the ISOC Network and Distributed Systems Security Symposium (NDSS).
Internet Society: San Diego, CA, USA.
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Mariconti, E;
Suarez-Tangil, G;
Blackburn, J;
Cristofaro, ED;
Kourtellis, N;
Leontiadis, I;
Serrano, JL;
(2018)
"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks.
In: Gilbert, Eric and Karahalios, Karrie, (eds.)
Proceedings of the 22nd ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW’19).
(pp. p. 207).
ACM (Association for Computing Machinery): New York, NY, USA.
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Melis, L;
Asghar, HJ;
Cristofaro, ED;
Kaafar, MA;
(2016)
Private Processing of Outsourced Network Functions: Feasibility and Constructions.
In:
Proceedings of the 2016 ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization.
(pp. pp. 39-44).
ACM publishing: New York, NY, USA.
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Melis, L;
Danezis, G;
Cristofaro, ED;
(2016)
Efficient Private Statistics with Succinct Sketches.
In:
Proceedings of the NDSS Symposium 2016.
Internet Society: San Diego, CA, USA.
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Melis, L;
Song, C;
De Cristofaro, E;
Shmatikov, V;
(2019)
Exploiting Unintended Feature Leakage in Collaborative Learning.
In:
Proceedings of the 2019 IEEE Symposium on Security and Privacy (SP).
(pp. pp. 691-706).
IEEE: San Francisco, CA, USA, USA.
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Mittos, A;
Zannettou, S;
Blackburn, J;
De Cristofaro, E;
(2020)
“And We Will Fight For Our Race!” A Measurement Study of Genetic Testing Conversations on Reddit and 4chan.
In:
Proceedings of the International AAAI Conference on Web and Social Media.
(pp. pp. 452-463).
AAAI
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Nagy, M;
Bui, T;
Cristofaro, ED;
Asokan, N;
Ott, J;
Sadeghi, A-R;
(2015)
How Far Removed Are You? Scalable Privacy-Preserving Estimation of Social Path Length with Social PaL.
In:
Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks Article No. 18.
ACM: New York, USA.
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Naseri, Mohammad;
Han, Yufei;
Mariconti, Enrico;
Shen, Yun;
Stringhini, Gianluca;
Cristofaro, Emiliano De;
(2022)
Cerberus: Exploring Federated Prediction of Security Events.
In:
Proceedings of the 29th ACM Conference on Computer and Communications Security (ACM CCS 2022).
(pp. pp. 2337-2351).
Association for Computing Machinery: Los Angeles, CA, USA.
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Nithyanand, R;
Khattak, S;
Javed, M;
Vallina-Rodriguez, N;
Falahrastegar, M;
Powles, JE;
Cristofaro, ED;
... Murdoch, SJ; + view all
(2016)
Adblocking and Counter Blocking: A Slice of the Arms Race.
In:
Proceedings of the 6th USENIX Workshop on Free and Open Communications on the Internet (FOCI '16).
USENIX: Austin, TX, USA.
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Onwuzurike, L;
Almeida, M;
Mariconti, E;
Blackburn, J;
Stringhini, G;
De Cristofaro, E;
(2018)
A Family of Droids-Android Malware Detection via Behavioral Modeling: Static vs Dynamic Analysis.
In:
2018 16th Annual Conference on Privacy, Security and Trust (PST).
IEEE
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Onwuzurike, L;
Cristofaro, ED;
(2015)
Danger is my middle name: experimenting with SSL vulnerabilities in Android apps.
In:
Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks.
ACM publishing: New York, NY, USA.
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Onwuzurike, L;
De Cristofaro, E;
(2016)
Experimental Analysis of Popular Smartphone Apps Offering Anonymity, Ephemerality, and End-to-End Encryption.
In: Gummadi, Krishna and Hoffmann, Jörg and Maffei, Matteo, (eds.)
Proceedings of the 1st NDSS Workshop on Understanding and Enhancing Online Privacy (UEOP 2016).
UEOP: California, USA.
(In press).
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Oprisanu, Bristena;
Ganev, Georgi;
Cristofaro, Emiliano De;
(2022)
On Utility and Privacy in Synthetic Genomic Data.
In:
Proceedings of the 29th Network and Distributed System Security Symposium (NDSS 2022).
Network and Distributed System Security (NDSS)
(In press).
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Oprisanu, M-B;
Dessimoz, C;
De Cristofaro, E;
(2019)
How Much Does GenoGuard Really "Guard"? An Empirical Analysis of Long-Term Security for Genomic Data.
In: Cavallaro, Lorenzo and Kinder, Johannes, (eds.)
WPES'19: Proceedings of the 18th ACM Workshop on Privacy in the Electronic Society.
(pp. pp. 93-105).
ACM: New York, United States.
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Papadamou, K;
Zannettou, S;
Blackburn, J;
De Cristofaro, E;
Stringhini, G;
Sirivianos, M;
(2021)
"how over is it?" Understanding the Incel Community on YouTube.
In:
Proceedings of the ACM on Human-Computer Interaction.
(pp. pp. 1-25).
ACM
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Papasavva, Antonis;
Aliapoulios, Max;
Ballard, Cameron;
Cristofaro, Emiliano De;
Stringhini, Gianluca;
Zannettou, Savvas;
Blackburn, Jeremy;
(2022)
The Gospel according to Q: Understanding the QAnon Conspiracy from the Perspective of Canonical Information.
In:
Proceedings of the International AAAI Conference on Web and Social Media.
(pp. pp. 735-746).
Association for the Advancement of Artificial Intelligence
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Papasavva, A;
Blackburn, J;
Stringhini, G;
Zannettou, S;
Cristofaro, ED;
(2021)
"Is it a Qoincidence?": An Exploratory Study of QAnon on Voat.
In: Leskovec, J and Grobelnik, M and Najork, M and Tang, J and Zia, L, (eds.)
WWW '21: Proceedings of the Web Conference 2021.
(pp. pp. 460-471).
ACM: Association for Computing Machinery: New York, NY, USA.
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Papasavva, A;
Zannettou, S;
De Cristofaro, E;
Stringhini, G;
Blackburn, J;
(2020)
Raiders of the Lost Kek: 3.5 Years of Augmented 4chan Posts from the Politically Incorrect Board.
In:
Proceedings of the 14th International AAAI Conference on Web and Social Media (ICWSM 2020).
(pp. pp. 885-894).
ICWSM: Atlanta, GA, USA.
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Perillo, AM;
De Cristofaro, E;
(2018)
PAPEETE: Private, Authorized, and Fast Personal Genomic Testing.
In: Samarati, P and Obaidat, MS, (eds.)
Proceedings of the 15th International Joint Conference on e-Business and Telecommunications - Volume 1: SECRYPT.
(pp. pp. 484-489).
SciTePress: Porto, Portugal.
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Primault, V;
Lampos, V;
Cox, I;
De Cristofaro, E;
(2019)
Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor.
In: Liu, Ling and White, Ryen, (eds.)
Proceeding of the International World Wide Web Conference.
(pp. pp. 1487-1497).
ACM: NY, USA.
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Pyrgelis, A;
De Cristofaro, E;
Ross, G;
(2016)
Privacy-Friendly Mobility Analytics using Aggregate Location Data.
In: Ali, M and Newsam, S and Rivada, S and Reinz, M and Trajcevski, G, (eds.)
GIS '16: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.
Association for Computing Machinery (ACM): New York, USA.
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Pyrgelis, A;
Troncoso, C;
Cristofaro, ED;
(2018)
Knock Knock, Who's There? Membership Inference on Aggregate Location Data.
In:
Proceedings of the 25th Network and Distributed System Security Symposium (NDSS 2018).
Internet Society: San Diego, CA, USA.
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Pyrgelis, A;
Troncoso, C;
Cristofaro, ED;
(2017)
What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy.
In:
Proceedings on Privacy Enhancing Technologies.
(pp. pp. 76-96).
De Gruyter: Minneapolis, MN, USA.
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Raman, A;
Joglekar, S;
De Cristofaro, E;
Sastry, N;
Tyson, G;
(2019)
Challenges in the Decentralized Web: The Mastodon Case.
In:
Proceedings of 19th ACM Internet Measurement Conference (IMC 2019).
(pp. pp. 217-229).
ACM: Amsterdam, Netherlands.
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Ribeiro, MH;
Blackburn, J;
Bradlyn, B;
Cristofaro, ED;
Stringhini, G;
Long, S;
Greenberg, S;
(2021)
The Evolution of the Manosphere Across the Web.
In: Budak, Ceren and Cha, Meeyoung and Quercia, Daniele and Xie, Lexing, (eds.)
Proceedings of the 15th International AAAI Conference on Web and Social Media (ICWSM 2021).
(pp. pp. 196-207).
AAAI Press: Palo Alto, California USA.
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Ribeiro, MH;
Blackburn, J;
Bradlyn, B;
Cristofaro, ED;
Stringhini, G;
Long, S;
Greenberg, S;
(2021)
The Evolution of the Manosphere across the Web.
In: Budak, C and Cha, M and Quercia, D and Xie, L, (eds.)
Proceedings of the International AAAI Conference on Web and Social Media.
(pp. pp. 196-207).
Association for the Advancement of Artificial Intelligence (AAAI) Press
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Saeed, MH;
Ali, S;
Blackburn, J;
Cristofaro, ED;
Zannettou, S;
Stringhini, G;
(2022)
TrollMagnifier: Detecting State-Sponsored Troll Accounts on Reddit.
In:
Proceedings - IEEE Symposium on Security and Privacy.
(pp. pp. 2161-2175).
IEEE: San Francisco, CA, USA.
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Sajadmanesh, S;
Jafarzadeh, S;
Osia, SA;
Rabiee, HR;
Haddadi, H;
Mejova, Y;
Musolesi, M;
... Stringhini, G; + view all
(2017)
Kissing Cuisines: Exploring Worldwide Culinary Habits on the Web.
In:
Proceedings of the 26th International Conference on World Wide Web Companion.
(pp. pp. 1013-1021).
ACM publishing
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Si, Wai Man;
Backes, Michael;
Blackburn, Jeremy;
Cristofaro, Emiliano De;
Stringhini, Gianluca;
Zannettou, Savvas;
Zhang, Yand;
(2022)
Why So Toxic? Measuring and Triggering Toxic Behavior in
Open-Domain Chatbots.
In:
CCS '22: Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.
(pp. pp. 2659-2673).
ACM
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Wang, Y;
Zannettou, S;
Blackburn, J;
Bradlyn, B;
Cristofaro, ED;
Stringhini, G;
(2021)
A Multi-Platform Analysis of Political News Discussion and Sharing on Web Communities.
In:
2021 IEEE International Conference on Big Data (IEEE BigData 2021).
IEEE
(In press).
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Wang, Y;
Tahmasbi, F;
Blackburn, J;
Bradlyn, B;
Cristofaro, ED;
Magerman, D;
Zannettou, S;
(2021)
Understanding the Use of Fauxtography on Social Media.
In: Budak, C and Cha, M and Quercia, D and Xie, L, (eds.)
Proceedings of the International AAAI Conference on Web and Social Media.
(pp. pp. 776-786).
Association for the Advancement of Artificial Intelligence (AAAI) Press
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Wixey, M;
De Cristofaro, E;
Johnson, S;
(2020)
On the Feasibility of Acoustic Attacks Using Commodity Smart Devices.
In:
2020 IEEE Security and Privacy Workshops (SPW).
(pp. pp. 88-97).
IEEE: San Francisco, CA, USA.
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Yudhoatmojo, Satrio;
De Cristofaro, Emiliano;
Blackburn, Jeremy;
(2023)
Understanding the Use of e-Prints on Reddit and 4chan’s Politically Incorrect Board.
In:
WebSci '23: Proceedings of the 15th ACM Web Science Conference 2023.
(pp. pp. 117-127).
ACM
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Zannettou, S;
Blackburn, J;
Sirivianos, M;
Stringhini, G;
(2018)
Understanding Web Archiving Services and Their (Mis)Use on Social Media.
In:
Twelfth International AAAI Conference on Web and Social Media.
(pp. pp. 454-463).
AAAI
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Zannettou, S;
Bradlyn, B;
De Cristofaro, E;
Sirivianos, M;
Stringhini, G;
Kwak, H;
Blackburn, J;
(2018)
What is Gab: A Bastion of Free Speech or an Alt-Right Echo Chamber.
In: Champin, PA and Gandon, F and Médini, L and Lalmas, M and Ipeirotis, PG, (eds.)
WWW '18: Companion Proceedings of the The Web Conference 2018.
(pp. pp. 1007-1014).
International World Wide Web Conferences Steering Committee: Geneva, Switzerland.
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Zannettou, S;
Caulfield, T;
Blackburn, J;
De Cristofaro, E;
Sirivianos, M;
Stringhini, G;
Suarez-Tangil, G;
(2018)
On the Origins of Memes by Means of Fringe Web Communities.
In:
Proceedings of the Internet Measurement Conference 2018.
(pp. pp. 188-202).
The Association for Computing Machinery: New York (NY), USA.
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Zannettou, S;
Caulfield, T;
Bradlyn, B;
De Cristofaro, E;
Stringhini, G;
Blackburn, J;
(2020)
Characterizing the Use of Images in State-Sponsored Information Warfare Operations by Russian Trolls on Twitter.
In:
Proceeding of the 14th International Conference on Web and Social Media (ICWSM-2020).
(pp. pp. 774-785).
AAAI
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Zannettou, S;
Caulfield, T;
De Cristofaro, E;
Kourtellis, N;
Leontiadis, I;
Sirivianos, M;
Stringhini, G;
(2017)
The Web Centipede: Understanding How Web Communities Influence Each Other Through the Lens of Mainstream and Alternative News Sources.
In: Uhlig, S and Maennel, O, (eds.)
IMC '17: Proceedings of the 2017 Internet Measurement Conference.
(pp. pp. 405-417).
Association for Computing Machinery (ACM): New York, NY, USA.
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Zannettou, S;
Sirivianos, M;
Caulfield, T;
Stringhini, G;
De Cristofaro, E;
Blackburn, J;
(2019)
Disinformation warfare: Understanding state-sponsored trolls on twitter and their influence on the web.
In:
WWW '19 Companion Proceedings of The 2019 World Wide Web Conference.
(pp. pp. 218-226).
ACM: New York (NY), USA.
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Zia, Haris Bin;
Raman, Aravindh;
Castro, Ignacio;
Anaobi, Ishaku Hassan;
Cristofaro, Emiliano De;
Sastry, Nishanth;
Tyson, Gareth;
(2022)
Toxicity in the Decentralized Web and the Potential for Model Sharing.
In:
Proceedings of the 2022 ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS'22).
(pp. pp. 15-16).
ACM
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Thesis
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De Cristofaro, E;
(2011)
Sharing Sensitive Information with Privacy.
Doctoral thesis , UNSPECIFIED.
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