Jayfeather1024 / Backdoor-Enhanced-AlignmentLinks
☆24Updated last year
Alternatives and similar repositories for Backdoor-Enhanced-Alignment
Users that are interested in Backdoor-Enhanced-Alignment are comparing it to the libraries listed below
Sorting:
- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆66Updated last year
- Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"☆60Updated last year
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆58Updated 11 months ago
- Code and dataset for the paper: "Can Editing LLMs Inject Harm?"☆21Updated last year
- Code repo of our paper Towards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis (https://arxiv.org/abs/2406.10794…☆22Updated last year
- Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"☆40Updated last year
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Updated 11 months ago
- Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"☆21Updated 3 months ago
- ☆22Updated 6 months ago
- ☆48Updated 10 months ago
- This is the official code for the paper "Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning" (NeurIPS2024)☆25Updated last year
- Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"☆23Updated this week
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆72Updated 9 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆48Updated last year
- Code and data to go with the Zhu et al. paper "An Objective for Nuanced LLM Jailbreaks"☆35Updated last year
- Identification of the Adversary from a Single Adversarial Example (ICML 2023)☆10Updated last year
- Official codebase for "STAIR: Improving Safety Alignment with Introspective Reasoning"☆86Updated 10 months ago
- The Oyster series is a set of safety models developed in-house by Alibaba-AAIG, devoted to building a responsible AI ecosystem. | Oyster …☆57Updated 3 months ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆26Updated 9 months ago
- [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning☆10Updated last year
- [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion☆57Updated 2 months ago
- ☆65Updated 8 months ago
- Comprehensive Assessment of Trustworthiness in Multimodal Foundation Models☆25Updated 9 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆27Updated last year
- ☆16Updated 6 months ago
- [ICLR 2025] On Evluating the Durability of Safegurads for Open-Weight LLMs☆13Updated 6 months ago
- Repository for the Paper: Refusing Safe Prompts for Multi-modal Large Language Models☆18Updated last year
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆88Updated 8 months ago
- ☆33Updated 7 months ago