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Kimberly T Mai
Kimberly T Mai
University College London
Verified email at ucl.ac.uk - Homepage
Title
Cited by
Cited by
Year
Warning: humans cannot reliably detect speech deepfakes
KT Mai, S Bray, T Davies, LD Griffin
Plos one 18 (8), e0285333, 2023
132023
Susceptibility to influence of large language models
LD Griffin, B Kleinberg, M Mozes, KT Mai, M Vau, M Caldwell, ...
arXiv preprint arXiv:2303.06074, 2023
112023
Transfer learning from audio deep learning models for micro-Doppler activity recognition
KT Tran, LD Griffin, K Chetty, S Vishwakarma
2020 IEEE international radar conference (RADAR), 584-589, 2020
92020
Self-supervised losses for one-class textual anomaly detection
KT Mai, T Davies, LD Griffin
arXiv preprint arXiv:2204.05695, 2022
72022
Explaining the decisions of anomalous sound detectors
KT Mai, T Davies, LD Griffi, E Benetos
52022
Large language models respond to influence like humans
L Griffin, B Kleinberg, M Mozes, K Mai, MDM Vau, M Caldwell, ...
Proceedings of the First Workshop on Social Influence in Conversations …, 2023
42023
Brittle Features May Help Anomaly Detection
KT Mai, T Davies, LD Griffin
WiCV workshop at CVPR 2021, 2021
42021
Understanding the limitations of self-supervised learning for tabular anomaly detection
KT Mai, T Davies, LD Griffin
Pattern Analysis and Applications, 2024
2024
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