T-MAP
pwnhyo/t-mapTrajectory-aware evolutionary search framework for red-teaming LLM agents over MCP servers, generating adversarial prompts to map vulnerability…
adversarial-attackai-securitymachine-learning+3
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pwnhyo/t-mapTrajectory-aware evolutionary search framework for red-teaming LLM agents over MCP servers, generating adversarial prompts to map vulnerability…
chanwoochoi316/kidnapragBlack-box attack framework that hijacks reasoning in agentic retrieval-augmented generation systems by injecting poisoned documents, with support for…
jaewonalive/camodocsResearch implementation of a poisoning attack against retrieval-augmented language models using camouflaged documents to evade filtering defenses and…
ai45lab/skill-safety-benchBenchmark for evaluating AI agent safety against attacks embedded in skill-facing context, with 155 cases across 6 risk domains, measuring task…
davidcarliez/trustmebroBypass llm guardrails by confusing it with fabricated tool output.
george0papasotiriou/llm-jailbreak-via-chain-of-logic-injection-cve-2026-3098Multi-stage prompt injection technique that bypasses LLM safety alignment via identity reassignment, refusal suppression, and output coercion,…
pppyb/secopdResearch implementation for mitigating adaptive prompt injections via on-policy distillation, with training recipes and evaluators for SEP, PISmith,…
csoai-org/memory-poisoning-axisDeterministic memory-poisoning / prompt-injection measurement axis — CoSnitch (CVE-2026-24301) anchored. Inspect scorer, signed receipts.…
trusted-ai/adversarial-robustness-toolboxPython library for adversarial machine learning security, enabling red and blue teams to run evasion, poisoning, extraction, and inference attacks…
cleverhans-lab/cleverhansAn adversarial example library for constructing attacks, building defenses, and benchmarking both
bethgelab/foolboxA Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
protectai/modelscanProtection against Model Serialization Attacks
seldonio/alibi-detectAlgorithms for outlier, adversarial and drift detection
splx-ai/agentic-radarA security scanner for your LLM agentic workflows
thuyimingli/backdoor-learning-resourcesCurated list of backdoor learning papers, surveys, and toolboxes, organizing poisoning-based attacks and defenses in deep learning for researchers…
madrylab/robustnessTrain, evaluate, and explore neural networks with built-in adversarial robustness tools, including PGD attacks, adversarial training, and robust…
robustbench/robustbenchStandardized adversarial robustness benchmark with a public leaderboard and downloadable model zoo for evaluating ML models against Lp attacks and…
trusted-ai/aix360Interpretability and explainability of data and machine learning models