AI_Security_Top
ghostwolflab/ai_security_topA structured knowledge base covering AI security fundamentals, threat modeling, red team offensive techniques, and blue team defenses, including LLM…
adversarial-attackai-securitycurated-resources+5
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ghostwolflab/ai_security_topA structured knowledge base covering AI security fundamentals, threat modeling, red team offensive techniques, and blue team defenses, including LLM…
mlily2024/final-project-sql-injection-pipelineHybrid machine-learning pipelines for detecting SQL injection in web traffic, combining DistilBERT and BERT-GNN models with adversarial training and…
qkrrkd90-source/weavemarkReference implementation of a multi-bit LLM watermarking scheme using coded payload spreading, unbiased reweighting, and soft-decision ECC decoding…
cucu220123/safety-awarenessResearch code for extracting and training safety-awareness directions in multimodal LLMs to improve refusal behavior while limiting benign-task drift.
jianshuod/ipi-exposure-signalResearch pipeline for detecting latent indirect prompt-injection exposure signals in agentic LLMs via hidden-state probing, including trace…
pppyb/secopdResearch implementation for mitigating adaptive prompt injections via on-policy distillation, with training recipes and evaluators for SEP, PISmith,…
mindcrypt/covertchannels-steganographyA list of covert channels and steganography/steganalysis resources (books, papers & tools)
thuyimingli/backdoor-learning-resourcesCurated list of backdoor learning papers, surveys, and toolboxes, organizing poisoning-based attacks and defenses in deep learning for researchers…
rob-med/awesome-ts-anomaly-detectionList of tools & datasets for anomaly detection on time-series data.
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
jiep/offensive-ai-compilationA curated list of useful resources that cover Offensive AI.
microsoft/responsible-ai-toolboxInteractive dashboards and libraries for responsible AI model debugging, covering error analysis, fairness, interpretability, counterfactuals, causal…
trusted-ai/aif360A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in…
logpai/deep-loglizerA deep learning toolkit for log-based anomaly detection
0x0allenace/soc-analyst-portfolioA curated portfolio showcasing my SOC investigations, threat hunting projects, DFIR labs, detection engineering, technical blogs, and cybersecurity…
huhusmang/awesome-llms-for-vulnerability-detectionThe community's most comprehensive, continuously-updated index of research on Large Language Models for software vulnerability detection — papers…
owasp/owasp-model-card-security-standardOpen standard for documenting security-relevant metadata of AI models, including training data provenance, PII risk, known vulnerabilities, and…