liuchengyuan123 / CPADLinks
The official dataset of paper "Goal-Oriented Prompt Attack and Safety Evaluation for LLMs".
☆19Updated last year
Alternatives and similar repositories for CPAD
Users that are interested in CPAD are comparing it to the libraries listed below
Sorting:
- ☆45Updated last year
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆105Updated last year
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆96Updated 2 months ago
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆82Updated last year
- This repo is for the paper: On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark☆25Updated 3 years ago
- Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]☆250Updated last month
- Code for paper "Defending aginast LLM Jailbreaking via Backtranslation"☆30Updated last year
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆96Updated 4 months ago
- BeaverTails is a collection of datasets designed to facilitate research on safety alignment in large language models (LLMs).☆157Updated last year
- ☆28Updated last year
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆106Updated last year
- ☆84Updated 8 months ago
- Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…☆55Updated 2 years ago
- ☆56Updated last year
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆86Updated last year
- Repo for paper: Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge☆14Updated last year
- Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.☆61Updated last year
- Mostly recording papers about models' trustworthy applications. Intending to include topics like model evaluation & analysis, security, c…☆21Updated 2 years ago
- [ACL 2025] LongSafety: Evaluating Long-Context Safety of Large Language Models☆14Updated 3 months ago
- Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"☆34Updated 3 years ago
- Multilingual safety benchmark for Large Language Models☆52Updated last year
- Github repository for "FELM: Benchmarking Factuality Evaluation of Large Language Models" (NeurIPS 2023)☆59Updated last year
- ☆110Updated 4 months ago
- ☆27Updated 2 years ago
- 【ACL 2024】 SALAD benchmark & MD-Judge☆161Updated 6 months ago
- An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)☆99Updated 8 months ago
- Code and data of the ACL-IJCNLP 2021 paper "Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger"☆42Updated 3 years ago
- Code for Findings-EMNLP 2023 paper: Multi-step Jailbreaking Privacy Attacks on ChatGPT☆35Updated last year
- A Survey of Hallucination in Large Foundation Models☆54Updated last year
- Repo for paper: Controllable Text Generation with Language Constraints☆20Updated 2 years ago