yjw1029 / Self-Reminder-DataLinks
Data for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder"
☆19Updated last year
Alternatives and similar repositories for Self-Reminder-Data
Users that are interested in Self-Reminder-Data are comparing it to the libraries listed below
Sorting:
- ☆44Updated 5 months ago
- ☆41Updated 10 months ago
- Official repository for "Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks"☆56Updated 11 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆96Updated last year
- Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"☆39Updated last year
- ☆44Updated 2 years ago
- Code for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder" in NMI.☆53Updated last year
- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆57Updated last year
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆85Updated last year
- ☆21Updated last year
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆54Updated 9 months ago
- Code for Findings-EMNLP 2023 paper: Multi-step Jailbreaking Privacy Attacks on ChatGPT☆34Updated last year
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆94Updated 2 months ago
- ☆22Updated 7 months ago
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆81Updated last year
- Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents" [NeurIPS 2024]☆84Updated 10 months ago
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆30Updated 3 years ago
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆90Updated last year
- Benchmark evaluation code for "SORRY-Bench: Systematically Evaluating Large Language Model Safety Refusal" (ICLR 2025)☆57Updated 5 months ago
- ☆57Updated last year
- ☆21Updated 4 months ago
- AmpleGCG: Learning a Universal and Transferable Generator of Adversarial Attacks on Both Open and Closed LLM☆69Updated 9 months ago
- ☆17Updated last month
- ☆55Updated 2 years ago
- ☆39Updated 11 months ago
- ☆30Updated 10 months ago
- [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models☆36Updated 8 months ago
- ☆21Updated 9 months ago
- Code for "Universal Adversarial Triggers Are Not Universal."☆17Updated last year
- ☆23Updated 4 months ago