awesome-adversarial-machine-learning

The "Awesome Adversarial Machine Learning" repository provides a comprehensive collection of resources and references related to the security challenges associated with machine learning models. Its primary use case is to facilitate knowledge sharing and improve understanding of adversarial attacks, threat modeling, and defensive strategies in machine learning applications. Notable features include categorized resources on attacks by domain and strategy, case studies, and links to relevant frameworks, enhancing the tool's utility for researchers and practitioners in cybersecurity.