Alternatives and similar repositories for unlearning-vs-safety:

Users that are interested in unlearning-vs-safety are comparing it to the libraries listed below

• jaechan-repo / muse_bench
  ☆19Updated 7 months ago
• boyiwei / CoTaEval
  [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models
  ☆17Updated 8 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆32Updated 5 months ago
• OPTML-Group / SOUL
  Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"
  ☆22Updated 5 months ago
• OPTML-Group / Unlearn-Simple
  "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning" by Chongyu Fan*, Jiancheng Liu*, Licong Lin*, Jingh…
  ☆22Updated 3 weeks ago
• sail-sg / I-FSJ
  Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)
  ☆59Updated 2 months ago
• Lslland / T-Vaccine
  ☆12Updated 3 months ago
• rishub-tamirisa / tamper-resistance
  [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
  ☆48Updated 3 weeks ago
• sail-sg / closer-look-LLM-unlearning
  The official code of the paper "A Closer Look at Machine Unlearning for Large Language Models".
  ☆24Updated 3 months ago
• yihuaihong / ConceptVectors
  ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"
  ☆33Updated last month
• OPTML-Group / WAGLE
  Official repo for NeurIPS'24 paper "WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models"
  ☆13Updated 3 months ago
• licong-lin / negative-preference-optimization
  ☆50Updated 8 months ago
• 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…
  ☆105Updated 10 months ago
• swj0419 / muse_bench
  ☆20Updated last week
• NLie2 / what_features_jailbreak_LLMs
  ☆12Updated this week
• arobey1 / advbench
  ☆42Updated 2 years ago
• franciscoliu / SKU
  Official code implementation of SKU, Accepted by ACL 2024 Findings
  ☆13Updated 3 months ago
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆93Updated last month
• SORRY-Bench / sorry-bench
  Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)
  ☆48Updated 3 weeks ago
• Vaidehi99 / InfoDeletionAttacks
  ☆42Updated last month
• peterljq / Parsimonious-Concept-Engineering
  Implementation of PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆35Updated 4 months ago
• git-disl / Vaccine
  This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
  ☆41Updated 4 months ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆69Updated 5 months ago
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆82Updated 8 months ago
• ejones313 / auditing-llms
  ☆53Updated 2 years ago
• zzwjames / FailureLLMUnlearning
  An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)
  ☆26Updated last month
• XuandongZhao / weak-to-strong
  Weak-to-Strong Jailbreaking on Large Language Models
  ☆72Updated last year
• IBM / activation-steering
  General-purpose activation steering library
  ☆52Updated 2 months ago
• SchwinnL / circuit-breakers-eval
  Independent robustness evaluation of Improving Alignment and Robustness with Short Circuiting
  ☆14Updated 7 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆78Updated 10 months ago