Alternatives and similar repositories for advbench

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

• ejones313 / auditing-llms
  ☆57Updated 2 years ago
• Vaidehi99 / InfoDeletionAttacks
  ☆44Updated 6 months ago
• locuslab / acr-memorization
  ☆36Updated 8 months ago
• azshue / AutoPoison
  The official repository of the paper "On the Exploitability of Instruction Tuning".
  ☆64Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆97Updated last year
• McGill-NLP / AdversarialTriggers
  TACL 2025: Investigating Adversarial Trigger Transfer in Large Language Models
  ☆17Updated 2 weeks ago
• vfleaking / PTST
  Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"
  ☆18Updated last year
• weichen-yu / LM-Extraction
  ☆43Updated 2 years ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆110Updated 6 months ago
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆57Updated last year
• JasonForJoy / Model-Editing-Hurt
  EMNLP 2024: Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue
  ☆35Updated 3 months ago
• ethz-spylab / unlearning-vs-safety
  ☆22Updated 10 months ago
• JonasGeiping / carving
  Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives
  ☆70Updated last year
• thestephencasper / explore_establish_exploit_llms
  ☆31Updated 2 years ago
• XuandongZhao / weak-to-strong
  [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models
  ☆85Updated 3 months ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆64Updated 7 months ago
• jiahai-feng / binding-iclr
  ☆15Updated last year
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆22Updated 8 months ago
• sail-sg / Cheating-LLM-Benchmarks
  [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)
  ☆81Updated 10 months ago
• yihuaihong / ConceptVectors
  [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆36Updated last week
• aengusl / latent-adversarial-training
  ☆42Updated 11 months ago
• ShanglunFengatETHZ / PrivacyBackdoor
  Privacy backdoors
  ☆51Updated last year
• licong-lin / negative-preference-optimization
  ☆59Updated last year
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆38Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆76Updated 5 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆59Updated 11 months ago
• stanfordnlp / axbench
  Stanford NLP Python library for benchmarking the utility of LLM interpretability methods
  ☆124Updated 2 months ago
• boyiwei / CoTaEval
  [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models
  ☆17Updated last year
• rishub-tamirisa / tamper-resistance
  [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
  ☆59Updated 2 months ago
• jaechan-repo / muse_bench
  ☆27Updated last year