Alternatives and similar repositories for circuit-breakers-eval

Users that are interested in circuit-breakers-eval are comparing it to the libraries listed below

• aengusl / latent-adversarial-training
  ☆46Updated last year
• ethz-spylab / autoadvexbench
  ☆33Updated 5 months ago
• rishub-tamirisa / tamper-resistance
  [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
  ☆63Updated 5 months ago
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆89Updated last year
• Confirm-Solutions / flrt
  Fluent student-teacher redteaming
  ☆23Updated last year
• ejones313 / auditing-llms
  ☆59Updated 2 years ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆65Updated 10 months ago
• JonasGeiping / carving
  Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives
  ☆70Updated last year
• ethz-spylab / rlhf_trojan_competition
  Finding trojans in aligned LLMs. Official repository for the competition hosted at SaTML 2024.
  ☆115Updated last year
• facebookresearch / advprompter
  Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873
  ☆169Updated last year
• OSU-NLP-Group / AmpleGCG
  AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM
  ☆75Updated last year
• SORRY-Bench / sorry-bench
  Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)
  ☆65Updated 8 months ago
• XuandongZhao / weak-to-strong
  [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models
  ☆88Updated 6 months ago
• facebookresearch / SecAlign
  Repo for the research paper "SecAlign: Defending Against Prompt Injection with Preference Optimization"
  ☆75Updated 3 months ago
• GraySwanAI / circuit-breakers
  Improving Alignment and Robustness with Circuit Breakers
  ☆240Updated last year
• thestephencasper / explore_establish_exploit_llms
  ☆31Updated 2 years ago
• princeton-polaris-lab / Evaluating-Durable-Safeguards
  [ICLR 2025] On Evluating the Durability of Safegurads for Open-Weight LLMs
  ☆13Updated 4 months ago
• locuslab / acr-memorization
  ☆37Updated 10 months ago
• arobey1 / smooth-llm
  ☆111Updated 2 years ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆116Updated 8 months ago
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆62Updated last year
• Princeton-SysML / Jailbreak_LLM
  ☆188Updated last year
• kztakemoto / simbaja
  All in How You Ask for It: Simple Black-Box Method for Jailbreak Attacks
  ☆18Updated last year
• AI-secure / MMDT
  Comprehensive Assessment of Trustworthiness in Multimodal Foundation Models
  ☆24Updated 8 months ago
• yuplin2333 / representation-space-jailbreak
  Code repo of our paper Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis (https://arxiv.org/abs/2406.10794…
  ☆22Updated last year
• ChenWu98 / agent-attack
  [ICLR 2025] Dissecting adversarial robustness of multimodal language model agents
  ☆113Updated 8 months ago
• iamgroot42 / mimir
  Python package for measuring memorization in LLMs.
  ☆173Updated 4 months ago
• max-andr / adversarial-random-search-gpt4
  Adversarial Attacks on GPT-4 via Simple Random Search [Dec 2023]
  ☆43Updated last year
• thu-coai / SafeUnlearning
  Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks
  ☆32Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆99Updated last year