5 papers · 1 filter
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…
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…
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…
Deep learning methods for screening patients' S-ICD implantation eligibility
Anthony J. Dunn, Mohamed H. ElRefai, Paul R. Roberts +3
Subcutaneous Implantable Cardioverter-Defibrillators (S-ICDs) are used for prevention of sudden cardiac death triggered by ventricular arrhythmias. T Wave Over Sensing (TWOS) is an…
Infrequent adverse event prediction in low carbon energy production using machine learning
Stefano Coniglio, Anthony J. Dunn, Alain B. Zemkoho
We address the problem of predicting the occurrence of infrequent adverse events in the context of predictive maintenance. We cast the corresponding machine learning task as an imb…