Alternatives and similar repositories for acr-memorization

Users that are interested in acr-memorization are comparing it to the libraries listed below

• ejones313 / auditing-llms
  ☆57Updated 2 years ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆64Updated 7 months ago
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆57Updated last year
• rishub-tamirisa / tamper-resistance
  [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
  ☆59Updated 2 months ago
• milesaturpin / cot-unfaithfulness
  ☆47Updated last year
• 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
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆97Updated last year
• swj0419 / muse_bench
  ☆25Updated 5 months ago
• vfleaking / PTST
  Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"
  ☆18Updated last year
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆90Updated last year
• Vaidehi99 / InfoDeletionAttacks
  ☆44Updated 6 months ago
• ykwon0407 / DataInf
  DataInf: Efficiently Estimating Data Influence in LoRA-tuned LLMs and Diffusion Models (ICLR 2024)
  ☆74Updated 10 months ago
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆76Updated 5 months ago
• azshue / AutoPoison
  The official repository of the paper "On the Exploitability of Instruction Tuning".
  ☆64Updated last year
• licong-lin / negative-preference-optimization
  ☆59Updated last year
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆37Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆59Updated 10 months ago
• McGill-NLP / AdversarialTriggers
  TACL 2025: Investigating Adversarial Trigger Transfer in Large Language Models
  ☆17Updated last week
• poloclub / llm-landscape
  NeurIPS'24 - LLM Safety Landscape
  ☆27Updated 6 months ago
• aengusl / latent-adversarial-training
  ☆42Updated 10 months ago
• NUS-TRAIL / Unnatural_Language
  The official repository of 'Unnatural Language Are Not Bugs but Features for LLMs'
  ☆21Updated 3 months ago
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆82Updated 4 months ago
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆39Updated 9 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated 10 months ago
• Jayfeather1024 / Backdoor-Enhanced-Alignment
  ☆22Updated 8 months ago
• thestephencasper / latent_adversarial_training
  ☆22Updated last year
• arobey1 / advbench
  ☆43Updated 2 years ago
• VITA-Group / SEAL
  Official code for SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆40Updated 4 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
• sail-sg / Cheating-LLM-Benchmarks
  [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)
  ☆81Updated 10 months ago