Unintended Interactions Among ML Defenses and Risks - 2024

Explore the complex interplay between machine learning defenses and associated risks in this insightful 18-minute IEEE conference talk. Delve into the systematic analysis of unintended interactions that can arise when implementing multiple ML defense mechanisms simultaneously. Gain valuable knowledge about potential vulnerabilities and trade-offs in ML security strategies, and understand how these interactions may impact the overall effectiveness of defense systems. Learn from expert Vasisht Duddu as they present a state-of-the-art overview of this critical aspect of machine learning security, providing essential insights for researchers, practitioners, and security professionals in the field.

2024 237 SoK Unintended Interactions among ML Defenses and Risks Vasisht Duddu