3 papers
cs.LG2025
Countering adversarial evasion in regression analysis
David Benfield, Phan Tu Vuong, Alain Zemkoho
Adversarial machine learning challenges the assumption that the underlying distribution remains consistent throughout the training and implementation of a prediction model. In part…
cs.LG2025
Adversarial training with restricted data manipulation
David Benfield, Stefano Coniglio, Phan Tu Vuong +1
Adversarial machine learning concerns situations in which learners face attacks from active adversaries. Such scenarios arise in applications such as spam email filtering, malware…
cs.LG2024
Classification under strategic adversary manipulation using pessimistic bilevel optimisation
David Benfield, Stefano Coniglio, Martin Kunc +2
Adversarial machine learning concerns situations in which learners face attacks from active adversaries. Such scenarios arise in applications such as spam email filtering, malware…