Alternatives and similar repositories for agent-attack

Users that are interested in agent-attack are comparing it to the libraries listed below

• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆61Updated 5 months ago
• AI-secure / AgentPoison
  [NeurIPS 2024] Official implementation for "AgentPoison: Red-teaming LLM Agents via Memory or Knowledge Base Backdoor Poisoning"
  ☆130Updated 2 months ago
• ThuCCSLab / FigStep
  [AAAI'25 (Oral)] Jailbreaking Large Vision-language Models via Typographic Visual Prompts
  ☆144Updated 4 months ago
• umd-huang-lab / VLM-Poisoning
  Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"
  ☆50Updated 5 months ago
• OSU-NLP-Group / EIA_against_webagent
  ☆25Updated 8 months ago
• lancopku / agent-backdoor-attacks
  Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents" [NeurIPS 2024]
  ☆80Updated 8 months ago
• AI45Lab / ActorAttack
  ☆88Updated 4 months ago
• SORRY-Bench / sorry-bench
  Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)
  ☆55Updated 3 months ago
• thu-coai / SafeUnlearning
  Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks
  ☆28Updated 11 months ago
• OSU-NLP-Group / AmpleGCG
  AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM
  ☆65Updated 7 months ago
• SaFoLab-WISC / JailBreakV_28K
  [COLM 2024] JailBreakV-28K: A comprehensive benchmark designed to evaluate the transferability of LLM jailbreak attacks to MLLMs, and fur…
  ☆67Updated last month
• chen37058 / Red-Team-Arxiv-Paper-Update
  Awesome Jailbreak, red teaming arxiv papers (Automatically Update Every 12th hours)
  ☆39Updated this week
• thunxxx / MLLM-Jailbreak-evaluation-MMJ-Bench
  ☆47Updated 2 months ago
• YihanWang617 / llm-jailbreaking-defense
  A lightweight library for large laguage model (LLM) jailbreaking defense.
  ☆51Updated 8 months ago
• zhxieml / remiss-jailbreak
  ☆30Updated last year
• UCSC-VLAA / vllm-safety-benchmark
  [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"
  ☆81Updated last year
• OSU-NLP-Group / AgentSafety
  ☆85Updated last month
• OSU-NLP-Group / AgentAttack
  ☆19Updated 8 months ago
• zhaoyiran924 / Probe-Sampling
  [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
  ☆29Updated 7 months ago
• akumar2709 / OVERTHINK_public
  ☆34Updated 2 months ago
• isXinLiu / MM-SafetyBench
  Accepted by ECCV 2024
  ☆139Updated 8 months ago
• XuandongZhao / weak-to-strong
  [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models
  ☆76Updated last month
• neelsjain / baseline-defenses
  Official Code for "Baseline Defenses for Adversarial Attacks Against Aligned Language Models"
  ☆25Updated last year
• xirui-li / DrAttack
  Official implementation of paper: DrAttack: Prompt Decomposition and Reconstruction Makes Powerful LLM Jailbreakers
  ☆52Updated 10 months ago
• SheltonLiu-N / Universal-Prompt-Injection
  The official implementation of our pre-print paper "Automatic and Universal Prompt Injection Attacks against Large Language Models".
  ☆49Updated 8 months ago
• uw-nsl / SafeDecoding
  Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
  ☆134Updated 11 months ago
• zihao-ai / unthinking_vulnerability
  To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models
  ☆31Updated last month
• HKUST-KnowComp / LLM-Multistep-Jailbreak
  Code for Findings-EMNLP 2023 paper: Multi-step Jailbreaking Privacy Attacks on ChatGPT
  ☆33Updated last year
• AI45Lab / CodeAttack
  [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
  ☆46Updated 8 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆94Updated last year