Reading list for adversarial perspective and robustness in deep reinforcement learning.

Do you want to learn AI Security but don't know where to start ? Take a look at this map.

XSSGAI is the first-ever AI-powered XSS (Cross-Site Scripting) payload generator. It leverages machine learning and deep learning to create novel payloads based on patterns from real-world XSS attacks.

Measure and Boost Backdoor Robustness

Minimal reproducible PoC of 3 ML attacks (adversarial, extraction, membership inference) on a credit scoring model. Includes pipeline, visualizations, and defenses

AAAI 2025 Tutorial on Machine Learning Safety

A curated collection of privacy-preserving machine learning techniques, tools, and practical evaluations. Focuses on differential privacy, federated learning, secure computation, and synthetic data generation for implementing privacy in ML workflows.

Awesome-DL-Security-and-Privacy-Papers

Code for "On the Privacy Effect of Data Enhancement via the Lens of Memorization"

This is a software framework that can be used for the evaluation of the robustness of Malware Detection methods with respect to adversarial attacks.