Tomsett, R;
Widdicombe, A;
Xing, T;
Chakraborty, S;
Julier, S;
Gurram, P;
Rao, R;
(2018)
Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning.
In:
2018 21st International Conference on Information Fusion (FUSION).
(pp. pp. 838-845).
IEEE: Cambridge, UK.
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Abstract
Recent advances in Machine Learning (ML) have profoundly changed many detection, classification, recognition and inference tasks. Given the complexity of the battlespace, ML has the potential to revolutionise how Coalition Situation Understanding is synthesised and revised. However, many issues must be overcome before its widespread adoption. In this paper we consider two - interpretability and adversarial attacks. Interpretability is needed because military decision-makers must be able to justify their decisions. Adversarial attacks arise because many ML algorithms are very sensitive to certain kinds of input perturbations. In this paper, we argue that these two issues are conceptually linked, and insights in one can provide insights in the other. We illustrate these ideas with relevant examples from the literature and our own experiments.
| Type: | Proceedings paper |
|---|---|
| Title: | Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning |
| Event: | 21st International Conference on Information Fusion (FUSION) |
| Location: | Cambridge, UK |
| Dates: | 10-13 July 2018 |
| ISBN-13: | 9780996452762 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.23919/ICIF.2018.8455710 |
| Publisher version: | https://doi.org/10.23919/ICIF.2018.8455710 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Task analysis, Machine learning, Measurement, Data models, Taxonomy, Internet, Sensors |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10070702 |
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