
awesome-latency-attacks
Curated index of deep learning latency, energy-latency & timing (availability) attacks and defenses — companion to the ACM Computing Surveys…

Curated index of deep learning latency, energy-latency & timing (availability) attacks and defenses — companion to the ACM Computing Surveys…

Gemini - Production LLM Runtime Alignment Context Injection

Curated collection of LLM jailbreak prompts and bypass techniques, documenting adversarial inputs that circumvent AI model safety guardrails.

Technical webinars on reverse engineering, malware analysis, and software protection.

Tracker of publicly reported prompt-injection techniques, broken down by delivery method, encoding, and propagation behavior, with confirmed models,…

A structured knowledge base covering AI security fundamentals, threat modeling, red team offensive techniques, and blue team defenses, including LLM…

Curated list of backdoor learning papers, surveys, and toolboxes, organizing poisoning-based attacks and defenses in deep learning for researchers…

Standardized adversarial robustness benchmark with a public leaderboard and downloadable model zoo for evaluating ML models against Lp attacks and…

A curated list of useful resources that cover Offensive AI.

Clusters and elements to attach to MISP events or attributes (like threat actors)

A curated list of AI Security materials and resources for Pentesters, Bug Hunters, and Security Researchers.

Different methods to detect a virtualized environment or potential debugging

A curated collection of resources for learning and researching LLM prompt injection attacks, defenses, and security.

This repo contains C/C++ snippets that can be handy in specific offensive scenarios.

Attempt at Obfuscated version of SharpCollection

Delving into the Realm of LLM Security: An Exploration of Offensive and Defensive Tools, Unveiling Their Present Capabilities.

Bypass restricted and censored content on AI chat prompts 😈

Compares Windows archiver support for Mark of the Web propagation, helping teams assess which tools preserve MOTW and mitigate macro-based malware…