Kimberly T. Mai

According to our database, Kimberly T. Mai authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Seven simple steps for log analysis in AI systems.

Magda Dubois, Ekin Zorer, Maia Hamin, Joe Skinner, Alexandra Souly, Jerome Wynne, Harry Coppock, Lucas Sato, Sayash Kapoor, Sunishchal Dev, Keno Juechems, Kimberly T. Mai, Timo Flesch, Lennart Luettgau, Charles Teague, Eric Patey, JJ Allaire, Lorenzo Pacchiardi, José Hernández-Orallo, Cozmin Ududec

CoRR, April, 2026

A Multi-Turn Framework for Evaluating AI Misuse in Fraud and Cybercrime Scenarios.

Kimberly T. Mai, Anna Gausen, Magda Dubois, Mona Murad, Bessie O'Dell, Nadine Staes-Polet, Christopher Summerfield, Andrew Strait

CoRR, February, 2026

2024

Understanding the limitations of self-supervised learning for tabular anomaly detection.

Kimberly T. Mai, Toby Davies, Lewis D. Griffin

Pattern Anal. Appl., June, 2024

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

Warning: Humans Cannot Reliably Detect Speech Deepfakes.

Kimberly T. Mai, Sergi D. Bray, Toby Davies, Lewis D. Griffin

CoRR, 2023

2022

Self-Supervised Losses for One-Class Textual Anomaly Detection.

Kimberly T. Mai, Toby Davies, Lewis D. Griffin

CoRR, 2022

Explaining the Decision of Anomalous Sound Detectors.

Kimberly T. Mai, Toby Davies, Lewis D. Griffin, Emmanouil Benetos

Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021

Brittle Features May Help Anomaly Detection.

Kimberly T. Mai, Toby Davies, Lewis D. Griffin

CoRR, 2021