Browse by UCL people
Group by: Type | Date
Number of items: 5.
Article
Mai, Kimberly T;
Bray, Sergi;
Davies, Toby;
Griffin, Lewis D;
(2023)
Warning: Humans cannot reliably detect speech deepfakes.
PLoS One
, 18
(8)
, Article e0285333. 10.1371/journal.pone.0285333.
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Mai, Kimberly T;
Davies, Toby;
Griffin, Lewis D;
(2024)
Understanding the limitations of self-supervised learning for tabular anomaly detection.
Pattern Analysis and Applications
10.1007/s10044-023-01208-1.
(In press).
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Proceedings paper
|
Griffin, LD;
Kleinberg, B;
Mozes, M;
Mai, K;
Vau, M;
Caldwell, M;
Mavor-Parker, A;
(2023)
Large Language Models respond to Influence like Humans.
In:
Proceedings of the Annual Meeting of the Association for Computational Linguistics.
(pp. pp. 15-24).
Association for Computational Linguistics
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Mai, KT;
Davies, T;
Griffin, LD;
(2021)
Brittle Features May Help Anomaly Detection.
In:
Proceedings of the 9th Women in Computer Vision workshop at CVPR (2021).
Women in Computer Vision: Virtual conference.
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Thesis
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Ton-Mai, Kimberly Thien;
(2024)
Representation Learning for Anomaly Detection in Different Modalities.
Doctoral thesis (Ph.D), UCL (University College London).
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