Brittle Features May Help Anomaly Detection. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin (CoRR, 2021)

Explaining the Decision of Anomalous Sound Detectors. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin; Emmanouil Benetos (DCASE, 2022)

Self-Supervised Losses for One-Class Textual Anomaly Detection. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin (CoRR, 2022)

Warning: Humans Cannot Reliably Detect Speech Deepfakes. - Kimberly T. Mai; Sergi D. Bray; Toby Davies; Lewis D. Griffin (CoRR, 2023)

Susceptibility to Influence of Large Language Models. - Lewis D. Griffin; Bennett Kleinberg; Maximilian Mozes; Kimberly T. Mai; Maria Vau; Matthew Caldwell; Augustine Marvor-Parker (CoRR, 2023)

Understanding the limitations of self-supervised learning for tabular anomaly detection. - Kimberly T. Mai; Toby Davies; Lewis D. Griffin (Pattern Anal. Appl., 2024)