#red-teaming
GitHub Topic「red-teaming」がついているAI関連リポジトリの集計。Topicはリポジトリ作者が自己申告するメタタグで、AI関連の文脈で何が「red-teaming」と分類されているかを可視化します。
REPOS #red-teaming のRepo (TOP 13 / Stars降順)
Attack taxonomy, toolkit & defenses for persistent-memory poisoning of LLM agents. Author: Krishita Sanjay Choksi.
Hao610/AI-Model-AtlasDual-track AI reference architecture: RAG system design & AI Security Engineering (EN/ZH) | 双轨 AI 参考架构:RAG 系统设计与 AI 安全工程
prat3ik/evalbotEvalBot — local-first chatbot security & quality evaluation (FastAPI + Next.js). Evaluate chatbot answers against your own docs & guidelines with ML/NLP + AI-judge scoring. Apache-2.0.
KezoSec/rag-poisoning-labA self-contained AI security lab demonstrating document poisoning, indirect prompt injection, and data exfiltration in RAG systems. Explores the "helpfulness paradox" across local and frontier LLMs.
SoulOfNeverender/letheMemory integrity for AI agents — Information-flow control against OWASP ASI06 memory & context poisoning.
funnybones69/swe2-jailbreak-proxyOpenAI-compatible jailbreak proxy for Devin SWE-2 (server.codeium.com Connect-RPC) - system-layer override, category framing, invisible retry, RU/EN/ZH refusal handling
Alkur123/agentic-redteam-benchmarkv0.8 preview · 2,288 multi-step agent trajectories · 513 hand-authored gold + 1,775 provenance-flagged augmented. A per-step benchmark that scores whether a verifier catches drift inside an agent's trajectory — not whether a prompt is harmful.
roleplay-sh/ai-agent-social-engineering-researchCurated research on AI agent social engineering, manipulated delegation, prompt injection, tool-use boundaries, and agent security evaluation.
keyuraghao/aisrfAISRF, the AI Security & Research Framework: every LLM request from your apps and agents becomes a ticket a human approves before it reaches the backend. Analyzers, guardrails (Rebuff, LLM Guard, NeMo, Lakera), red teaming (garak, promptfoo, PyRIT), source code review, reports, MCP server.
Jayaramgokul/llm-agent-validationHow I validate LLM agents in regulated financial services: from regulation, the NIST AI RMF and its Generative AI Profile to research-based test design, with illustrations on simulated outcomes.
leo-t-1/persona-agentic-misalignmentDoes an LLM's willingness to blackmail depend on its persona — and on whether that persona is prompted or trained into the weights? Two-part study on Gemma-3-12B: 16 prompted personas (n=100) + 10 QLoRA persona adapters, in the Lynch et al. shutdown scenario.
guimitestai/sdk🧪 Guimí Test AI — SDK Python para testes, observabilidade e conformidade de LLMs. LLM-as-Judge, Red-Teaming, LGPD/EU AI Act.
tapiwamakandigona/kaggle-agent-securityAI Agent Security: Multi-Step Tool Attacks — Kaggle (OpenAI) attack.py + working note
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