Zhang-Yihao / Adversarial-Representation-EngineeringLinks
Official implementation repository for the paper Towards General Conceptual Model Editing via Adversarial Representation Engineering.
☆18Updated last year
Alternatives and similar repositories for Adversarial-Representation-Engineering
Users that are interested in Adversarial-Representation-Engineering are comparing it to the libraries listed below
Sorting:
- Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks☆32Updated last year
- Official Repository for ACL 2024 Paper SafeDecoding: Defending against Jailbreak Attacks via Safety-Aware Decoding☆152Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆88Updated 8 months ago
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆166Updated 7 months ago
- [NeurIPS25] Official repo for "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"☆37Updated 2 months ago
- Code and dataset for the paper: "Can Editing LLMs Inject Harm?"☆21Updated last year
- Data and code for the paper: Finding Safety Neurons in Large Language Models☆17Updated last year
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆65Updated last year
- [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion☆56Updated 2 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆117Updated 9 months ago
- ☆26Updated last year
- ☆43Updated last year
- ☆69Updated last year
- Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses (NeurIPS 2024)☆65Updated 11 months ago
- ☆114Updated 10 months ago
- ☆31Updated 9 months ago
- ☆16Updated 8 months ago
- [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"☆65Updated 6 months ago
- [ICLR 2025] Dissecting adversarial robustness of multimodal language model agents☆121Updated 10 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆48Updated last year
- [NeurIPS 2024] Large Language Model Unlearning via Embedding-Corrupted Prompts☆35Updated last year
- SG-Bench: Evaluating LLM Safety Generalization Across Diverse Tasks and Prompt Types☆23Updated last year
- This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL☆55Updated 3 months ago
- [NeurIPS 2024] Accelerating Greedy Coordinate Gradient and General Prompt Optimization via Probe Sampling☆31Updated last year
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆72Updated 9 months ago
- ☆24Updated last year
- Official implementation of ICLR'24 paper, "Curiosity-driven Red Teaming for Large Language Models" (https://openreview.net/pdf?id=4KqkizX…☆84Updated last year
- AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM☆79Updated last year
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆172Updated last year