Alternatives and similar repositories for llm_unlearn

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

• git-disl / Vaccine
  This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
  ☆45Updated 9 months ago
• OpenSafetyLab / SALAD-BENCH
  【ACL 2024】 SALAD benchmark & MD-Judge
  ☆158Updated 5 months ago
• chujiezheng / LLM-Safeguard
  Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"
  ☆94Updated 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
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆86Updated last year
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆78Updated 10 months ago
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆59Updated 10 months ago
• YihanWang617 / llm-jailbreaking-defense
  A lightweight library for large laguage model (LLM) jailbreaking defense.
  ☆55Updated 10 months ago
• ydyjya / LLM-IHS-Explanation
  ☆51Updated last year
• PKU-Alignment / beavertails
  BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).
  ☆154Updated last year
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆97Updated last year
• niconi19 / LLM-Conversation-Safety
  [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey
  ☆106Updated last year
• chrisliu298 / awesome-representation-engineering
  A resource repository for representation engineering in large language models
  ☆130Updated 9 months 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
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆145Updated 4 months ago
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆204Updated 2 weeks ago
• uw-nsl / SafeDecoding
  Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding
  ☆140Updated last year
• YihanWang617 / LLM-Jailbreaking-Defense-Backtranslation
  Code for paper "Defending aginast LLM Jailbreaking via Backtranslation"
  ☆30Updated last year
• TrustGen / TrustEval-toolkit
  Toolkit for evaluating the trustworthiness of generative foundation models.
  ☆112Updated this week
• SALT-NLP / Efficient_Unlearning
  ☆38Updated last year
• princeton-nlp / benign-data-breaks-safety
  ☆41Updated 10 months ago
• KID-22 / LLM-Unlearning-Paper-List
  ☆28Updated last year
• swj0419 / muse_bench
  ☆25Updated 5 months ago
• declare-lab / red-instruct
  Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment
  ☆103Updated last year
• LLM-Tuning-Safety / LLMs-Finetuning-Safety
  We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20…
  ☆317Updated last year
• licong-lin / negative-preference-optimization
  ☆59Updated last year
• Improbable-AI / curiosity_redteam
  Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…
  ☆80Updated last year
• princeton-nlp / corpus-poisoning
  [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156
  ☆35Updated last year
• facebookresearch / advprompter
  Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873
  ☆159Updated last year
• sail-sg / closer-look-LLM-unlearning
  [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models
  ☆36Updated 8 months ago