EG-Booster: Explanation-Guided Booster of ML Evasion Attacks
The widespread usage of machine learning (ML) in a myriad of domains has raised questions about its trustworthiness in securitycritical environments. Part of the quest for …
Explanation-Guided Diagnosis of Machine Learning Evasion Attacks
Machine Learning (ML) models are susceptible to evasion attacks. Evasion accuracy is typically assessed using aggregate evasion rate, and it is an open question whether aggregate …