Jayfeather1024 / Backdoor-Enhanced-AlignmentLinks
☆23Updated 10 months ago
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"☆61Updated last year
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆55Updated 9 months ago
- Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"☆40Updated last year
- Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"☆58Updated 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
- [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion☆53Updated 3 weeks ago
- ☆46Updated 8 months ago
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Updated 9 months ago
- Github repo for NeurIPS 2024 paper "Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models"☆21Updated last month
- ☆63Updated 6 months ago
- Code for paper: PoisonPrompt: Backdoor Attack on Prompt-based Large Language Models, IEEE ICASSP 2024. Demo//124.220.228.133:11107☆17Updated last year
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆26Updated 7 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 …☆52Updated last month
- Code and data to go with the Zhu et al. paper "An Objective for Nuanced LLM Jailbreaks"☆34Updated 10 months ago
- Comprehensive Assessment of Trustworthiness in Multimodal Foundation Models☆22Updated 7 months ago
- ☆41Updated 6 months ago
- Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as …☆74Updated this week
- ☆21Updated 7 months ago
- Identification of the Adversary from a Single Adversarial Example (ICML 2023)☆10Updated last year
- Code and dataset for the paper: "Can Editing LLMs Inject Harm?"☆21Updated 11 months ago
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆58Updated last year
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆157Updated 6 months ago
- ☆28Updated 7 months ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆81Updated last year
- Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks☆32Updated last year
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆26Updated 11 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆47Updated 11 months ago
- [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning☆10Updated 11 months ago
- ☆53Updated 2 years ago
- This is the official code for the paper "Booster: Tackling Harmful Fine-tuning for Large Language Models via Attenuating Harmful Perturba…☆32Updated 7 months ago