chuhac / Reasoning-to-DefendLinks
[EMNLP 2025] Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking
☆11Updated 2 months ago
Alternatives and similar repositories for Reasoning-to-Defend
Users that are interested in Reasoning-to-Defend are comparing it to the libraries listed below
Sorting:
- ☆21Updated 7 months ago
- Code for paper "Membership Inference Attacks Against Vision-Language Models"☆20Updated 9 months ago
- A Task of Fictitious Unlearning for VLMs☆23Updated 7 months ago
- ECSO (Make MLLM safe without neither training nor any external models!) (https://arxiv.org/abs/2403.09572)☆33Updated last year
- Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as …☆76Updated this week
- This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL☆52Updated 2 months ago
- The first toolkit for MLRM safety evaluation, providing unified interface for mainstream models, datasets, and jailbreaking methods!☆14Updated 7 months ago
- Official codebase for "STAIR: Improving Safety Alignment with Introspective Reasoning"☆84Updated 8 months ago
- An implementation for MLLM oversensitivity evaluation☆15Updated 11 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆47Updated 11 months ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆33Updated 7 months ago
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆83Updated last year
- Official repository for "Safety in Large Reasoning Models: A Survey" - Exploring safety risks, attacks, and defenses for Large Reasoning …☆80Updated 2 months ago
- [ECCV 2024] The official code for "AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shi…☆66Updated last year
- [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.☆78Updated 9 months ago
- Official Code and data for ACL 2024 finding, "An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models"☆23Updated last year
- ☆63Updated 7 months ago
- [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion☆54Updated last month
- [CVPR2025] Official Repository for IMMUNE: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment☆25Updated 5 months ago
- ☆38Updated last year
- [ACL 2025] The official code for "AGrail: A Lifelong Agent Guardrail with Effective and Adaptive Safety Detection".☆29Updated 3 months ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆37Updated 3 months ago
- [ICLR 2024] Towards Elminating Hard Label Constraints in Gradient Inverision Attacks☆13Updated last year
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆28Updated last year
- Accepted by ECCV 2024☆171Updated last year
- ☆18Updated 7 months ago
- [ICLR 2025] Official codebase for the ICLR 2025 paper "Multimodal Situational Safety"☆29Updated 4 months ago
- The reinforcement learning codes for dataset SPA-VL☆41Updated last year
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆56Updated 10 months ago
- "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.☆28Updated 2 years ago