alohachen / Hide-and-SeekLinks
Hide and Seek (HaS): A Framework for Prompt Privacy Protection
☆52Updated 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]☆218Updated last year
- Official github repo for SafetyBench, a comprehensive benchmark to evaluate LLMs' safety. [ACL 2024]☆267Updated 5 months ago
- ☆80Updated 9 months ago
- EmojiCrypt: Prompt Encryption for Secure Communication with Large Language Models☆22Updated last year
- ☆35Updated last year
- S-Eval: Towards Automated and Comprehensive Safety Evaluation for Large Language Models☆106Updated 2 months ago
- ☆161Updated 11 months ago
- [USENIX Security 2025] PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language Models☆222Updated last month
- [NAACL2024] Attacks, Defenses and Evaluations for LLM Conversation Safety: A Survey☆109Updated last year
- SC-Safety: 中文大模型多轮对抗安全基准☆148Updated last year
- Flames is a highly adversarial benchmark in Chinese for LLM's harmlessness evaluation developed by Shanghai AI Lab and Fudan NLP Group.☆62Updated last year
- R-Judge: Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)☆93Updated 7 months ago
- ☆51Updated 9 months ago
- Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents" [NeurIPS 2024]☆105Updated last year
- 面向中文大模 型价值观的评估与对齐研究☆549Updated 2 years 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☆486Updated last month
- [NDSS'25 Best Technical Poster] A collection of automated evaluators for assessing jailbreak attempts.☆177Updated 9 months ago
- Federated Learning for LLMs.☆244Updated last month
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆68Updated last year
- An LLM can Fool Itself: A Prompt-Based Adversarial Attack (ICLR 2024)☆108Updated 11 months ago
- Chinese safety prompts for evaluating and improving the safety of LLMs. 中文安全prompts,用于评估和提升大模型的安全性。☆1,120Updated last year
- The official implementation of our NAACL 2024 paper "A Wolf in Sheep’s Clothing: Generalized Nested Jailbreak Prompts can Fool Large Lang…☆150Updated 4 months ago
- Papers and resources related to the security and privacy of LLMs 🤖☆554Updated 6 months ago
- ☆158Updated last year
- ☆12Updated last year
- Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking. (NeurIPS 2024)☆157Updated last year
- Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM☆39Updated 11 months ago
- The code for paper "The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)", exploring the privacy risk o…☆63Updated 11 months ago
- Privacy-Preserving Prompt Tuning for Large Language Model☆28Updated last year
- UP-TO-DATE LLM Watermark paper. 🔥🔥🔥☆370Updated last year