alohachen / Hide-and-SeekLinks
Hide and Seek (HaS): A Framework for Prompt Privacy Protection
☆48Updated 2 years ago
Alternatives and similar repositories for Hide-and-Seek
Users that are interested in Hide-and-Seek are comparing it to the libraries listed below
Sorting:
- ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors [EMNLP 2024 Findings]☆214Updated last year
- Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]☆260Updated 3 months ago
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆99Updated 2 weeks ago
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆106Updated last year
- SC-Safety: 中文大模型多轮对抗安全基准☆146Updated last year
- ☆160Updated 9 months ago
- The lastest paper about detection of LLM-generated text and code☆280Updated 4 months ago
- Papers and resources related to the security and privacy of LLMs 🤖☆539Updated 4 months ago
- "他山之石、可以攻玉":复旦白泽智能发布面向国内开源和国外商用大模型的Demo数据集JADE-DB☆468Updated last week
- ☆153Updated last year
- [USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models☆210Updated 8 months ago
- Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking. (NeurIPS 2024)☆152Updated 11 months ago
- ☆66Updated 7 months ago
- ☆109Updated 9 months ago
- Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.☆60Updated last year
- R-Judge: Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)☆91Updated 5 months ago
- ☆46Updated 7 months ago
- ☆35Updated last year
- Agent Security Bench (ASB)☆137Updated 3 weeks ago
- Safety at Scale: A Comprehensive Survey of Large Model Safety☆200Updated 8 months ago
- [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.☆172Updated 7 months ago
- Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM☆38Updated 9 months ago
- ☆12Updated last year
- An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)☆105Updated 9 months ago
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆68Updated last year
- Federated Learning for LLMs.☆235Updated last week
- 面向中文大模型价值观的评估与对齐研究☆542Updated 2 years ago
- 【ACL 2024】 SALAD benchmark & MD-Judge☆163Updated 7 months ago
- Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents" [NeurIPS 2024]☆94Updated last year
- [ICLR24] Official Repo of BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models☆41Updated last year