Alternatives and similar repositories for explore_establish_exploit_llms:

Users that are interested in explore_establish_exploit_llms are comparing it to the libraries listed below

• ejones313 / auditing-llms
  ☆54Updated 2 years ago
• Algorithmic-Alignment-Lab / CommonClaim
  Explore, Establish, Exploit: Red Teaming Language Models from Scratch
  ☆12Updated last year
• OSU-NLP-Group / AgentAttack
  ☆18Updated 6 months ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆61Updated 3 months ago
• azshue / AutoPoison
  The official repository of the paper "On the Exploitability of Instruction Tuning".
  ☆62Updated last year
• locuslab / acr-memorization
  ☆33Updated 4 months ago
• McGill-NLP / AdversarialTriggers
  Code for "Universal Adversarial Triggers Are Not Universal."
  ☆17Updated last year
• Vaidehi99 / InfoDeletionAttacks
  ☆42Updated 2 months ago
• tml-epfl / icl-alignment
  Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]
  ☆29Updated 3 months ago
• milesaturpin / cot-unfaithfulness
  ☆42Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆92Updated 11 months ago
• zhxieml / remiss-jailbreak
  ☆27Updated 10 months ago
• SchwinnL / circuit-breakers-eval
  Independent robustness evaluation of Improving Alignment and Robustness with Short Circuiting
  ☆16Updated 2 weeks ago
• jiahai-feng / binding-iclr
  ☆14Updated last year
• rishub-tamirisa / tamper-resistance
  [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
  ☆54Updated 2 months ago
• GXimingLu / IPA
  Codebase for Inference-Time Policy Adapters
  ☆23Updated last year
• deeplearning-wisc / args
  ☆40Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆36Updated 7 months ago
• XuandongZhao / weak-to-strong
  Weak-to-Strong Jailbreaking on Large Language Models
  ☆73Updated last year
• zhaoyiran924 / Probe-Sampling
  [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling
  ☆27Updated 5 months ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆95Updated 2 months ago
• sail-sg / Cheating-LLM-Benchmarks
  [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)
  ☆77Updated 6 months ago
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆33Updated 9 months ago
• declare-lab / red-instruct
  Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
  ☆97Updated last year
• JonasGeiping / carving
  Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives
  ☆68Updated last year
• yihuaihong / ConceptVectors
  ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆35Updated 2 months ago
• XuandongZhao / Unigram-Watermark
  [ICLR 2024] Provable Robust Watermarking for AI-Generated Text
  ☆32Updated last year
• centerforaisafety / wmdp
  WMDP is a LLM proxy benchmark for hazardous knowledge in bio, cyber, and chemical security. We also release code for RMU, an unlearning m…
  ☆113Updated last year
• stanford-crfm / air-bench-2024
  AIR-Bench 2024 is a safety benchmark that aligns with emerging government regulations and company policies
  ☆19Updated 8 months ago
• Improbable-AI / curiosity_redteam
  Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…
  ☆75Updated last year