MartinPawelczyk / In-Context-UnlearningLinks
"In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
☆28Updated last year
Alternatives and similar repositories for In-Context-Unlearning
Users that are interested in In-Context-Unlearning are comparing it to the libraries listed below
Sorting:
- ☆23Updated 4 months ago
- Awesome Large Reasoning Model(LRM) Safety.This repository is used to collect security-related research on large reasoning models such as …☆68Updated this week
- ☆155Updated last week
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆51Updated 6 months ago
- [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models☆36Updated 8 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆59Updated 10 months ago
- [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications☆81Updated 4 months ago
- This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".☆22Updated 4 months ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆127Updated 2 months ago
- Official repo for EMNLP'24 paper "SOUL: Unlocking the Power of Second-Order Optimization for LLM Unlearning"☆26Updated 10 months ago
- [NeurIPS 2024] Fight Back Against Jailbreaking via Prompt Adversarial Tuning☆10Updated 9 months ago
- A Task of Fictitious Unlearning for VLMs☆19Updated 4 months ago
- Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.☆32Updated 8 months ago
- ☆22Updated 7 months ago
- Official repository for "Safety in Large Reasoning Models: A Survey" - Exploring safety risks, attacks, and defenses for Large Reasoning …☆64Updated last month
- Code and dataset for the paper: "Can Editing LLMs Inject Harm?"☆21Updated 8 months ago
- ☆21Updated 4 months ago
- [CCS-LAMPS'24] LLM IP Protection Against Model Merging☆15Updated 9 months ago
- [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion☆50Updated 9 months ago
- ☆44Updated 5 months ago
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆77Updated 10 months ago
- ☆28Updated last year
- This repo is for the safety topic, including attacks, defenses and studies related to reasoning and RL☆24Updated last week
- Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep☆143Updated 3 months ago
- ☆24Updated 5 months ago
- Comprehensive Assessment of Trustworthiness in Multimodal Foundation Models☆22Updated 4 months ago
- This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)☆45Updated 8 months ago
- [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…☆76Updated last year
- Accepted by ECCV 2024☆147Updated 9 months ago
- [ACL 2024] Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization☆26Updated last year