Alternatives and similar repositories for alignment-attribution-code

Users that are interested in alignment-attribution-code are comparing it to the libraries listed below

• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆166Updated 7 months ago
• git-disl / Vaccine
  This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
  ☆48Updated last year
• swj0419 / muse_bench
  ☆30Updated 8 months ago
• git-disl / Safety-Tax
  This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".
  ☆25Updated 8 months ago
• licong-lin / negative-preference-optimization
  ☆68Updated last year
• chujiezheng / LLM-Safeguard
  Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"
  ☆100Updated 6 months ago
• git-disl / Lisa
  This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)
  ☆25Updated last year
• git-disl / Booster
  This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…
  ☆33Updated 8 months ago
• vinid / safety-tuned-llamas
  ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.
  ☆89Updated last year
• SORRY-Bench / sorry-bench
  Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)
  ☆69Updated 9 months ago
• Improbable-AI / curiosity_redteam
  Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…
  ☆84Updated last year
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆116Updated 9 months ago
• SafeAILab / RAIN
  [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning
  ☆98Updated last year
• ajyl / dpo_toxic
  A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity.
  ☆84Updated 9 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆42Updated last year
• ybwang119 / Awesome-reasoning-safety
  This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL
  ☆52Updated 3 months ago
• AI45Lab / CodeAttack
  [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
  ☆55Updated 2 months ago
• CaoYuanpu / BiPO
  Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
  ☆37Updated last year
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆177Updated 2 years ago
• rishub-tamirisa / tamper-resistance
  [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"
  ☆65Updated 5 months ago
• sail-sg / closer-look-LLM-unlearning
  [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models
  ☆41Updated last year
• ydyjya / LLM-IHS-Explanation
  ☆55Updated last year
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆223Updated 2 weeks ago
• OPTML-Group / Unlearn-Simple
  [NeurIPS25] Official repo for "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"
  ☆36Updated 2 months ago
• facebookresearch / advprompter
  Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873
  ☆171Updated last year
• VITA-Group / SEAL
  [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free
  ☆46Updated 8 months ago
• jinzhuoran / RWKU
  RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024
  ☆85Updated last year
• thu-ml / STAIR
  Official codebase for "STAIR: Improving Safety Alignment with Introspective Reasoning"
  ☆87Updated 9 months ago
• ydyjya / SafetyHeadAttribution
  ☆58Updated 6 months ago
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆90Updated last year