git-disl / Safety-TaxLinks
This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".
☆26Updated 8 months ago
Alternatives and similar repositories for Safety-Tax
Users that are interested in Safety-Tax are comparing it to the libraries listed below
Sorting:
- ☆30Updated 8 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆88Updated 8 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆48Updated last year
- This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)☆25Updated last year
- 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
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆166Updated 7 months ago
- ☆42Updated last year
- [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models☆41Updated last year
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆69Updated 9 months ago
- ☆68Updated last year
- ☆59Updated 6 months ago
- This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL☆52Updated 3 months ago
- [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion☆55Updated 2 months ago
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆28Updated last year
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆90Updated last year
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆89Updated last year
- Code and dataset for the paper: "Can Editing LLMs Inject Harm?"☆21Updated last year
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆116Updated 9 months ago
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆100Updated 6 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆85Updated last year
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Updated 10 months ago
- [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling☆31Updated last year
- [COLM 2025] SEAL: Steerable Reasoning Calibration of Large Language Models for Free☆46Updated 8 months ago
- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆62Updated last year
- Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as …☆78Updated this week
- [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"☆65Updated 6 months ago
- A survey on harmful fine-tuning attack for large language model☆223Updated 2 weeks ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated 2 years ago
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆60Updated 2 months ago