Alternatives and similar repositories for Awesome-GenAI-Unlearning

Users that are interested in Awesome-GenAI-Unlearning are comparing it to the libraries listed below

• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆65Updated last year
• MartinPawelczyk / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆28Updated 2 years ago
• locuslab / open-unlearning
  [NeurIPS D&B '25] The one-stop repository for LLM unlearning
  ☆452Updated this week
• sail-sg / closer-look-LLM-unlearning
  [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models
  ☆41Updated last year
• swj0419 / muse_bench
  ☆31Updated 9 months ago
• licong-lin / negative-preference-optimization
  ☆69Updated last year
• KID-22 / LLM-Unlearning-Paper-List
  ☆28Updated last week
• chrisliu298 / awesome-llm-unlearning
  A resource repository for machine unlearning in large language models
  ☆516Updated last week
• TrustGen / TrustEval-toolkit
  Toolkit for evaluating the trustworthiness of generative foundation models.
  ☆124Updated 4 months ago
• OPTML-Group / Unlearn-Saliency
  [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…
  ☆141Updated 7 months ago
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆227Updated last month
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆166Updated 8 months ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆86Updated last year
• OPTML-Group / Unlearn-Simple
  [NeurIPS25] Official repo for "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"
  ☆37Updated 2 months ago
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆178Updated 2 years ago
• ZFancy / awesome-activation-engineering
  A curated list of resources for activation engineering
  ☆119Updated 2 months ago
• deeplearning-wisc / haloscope
  source code for NeurIPS'24 paper "HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection"
  ☆64Updated 8 months ago
• OPTML-Group / SOUL
  Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"
  ☆28Updated last year
• iamgroot42 / mimir
  Python package for measuring memorization in LLMs.
  ☆176Updated 5 months ago
• Vaidehi99 / InfoDeletionAttacks
  ☆48Updated 10 months ago
• ys-zong / VLGuard
  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.
  ☆82Updated 11 months ago
• UCSB-NLP-Chang / ULD
  Implementation of paper 'Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference' [NeurIPS'24…
  ☆26Updated last year
• chenchenygu / watermark-learnability
  ☆27Updated 10 months ago
• ChenWu98 / agent-attack
  [ICLR 2025] Dissecting adversarial robustness of multimodal language model agents
  ☆121Updated 10 months ago
• jthickstun / watermark
  Code for watermarking language models
  ☆84Updated last year
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆88Updated 9 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆98Updated last year
• poloclub / llm-landscape
  NeurIPS'24 - LLM Safety Landscape
  ☆36Updated 2 months ago
• umd-huang-lab / VLM-Poisoning
  Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"
  ☆58Updated 11 months ago
• ybwang119 / Awesome-reasoning-safety
  This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL
  ☆55Updated 3 months ago