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Tongji University
- Shanghai, China
- tongji.edu.cn
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Project page for "The Fuzzing Book"
[ICLR'24 Spotlight] A language model (LM)-based emulation framework for identifying the risks of LM agents with tool use
SecGPT: An execution isolation architecture for LLM-based systems
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
优质稳定的OpenAI的API接口-For企业和开发者。OpenAI的api proxy,支持ChatGPT的API调用,支持openai的API接口,支持:gpt-4,gpt-3.5。不需要openai Key, 不需要买openai的账号,不需要美元的银行卡,通通不用的,直接调用就行,稳定好用!!智增增
An LLM playground you can run on your laptop
CTF Archives: Collection of CTF Challenges.
The official Python library for the OpenAI API
An overview of LLMs for cybersecurity.
Chat with Meta's LLaMA models at home made easy
A Python library for fine-tuning LLMs with self-defined ethical or contextual alignment, leveraging constitutional AI principles as proposed by Anthropic. Streamlines the process of prompt generati…
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
MindSpore online courses: Step into LLM
[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.
Locating and editing factual associations in GPT (NeurIPS 2022)
🤖 AgentVerse 🪐 is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation
A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights i…
[ICML2024] Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast
Universal and Transferable Attacks on Aligned Language Models
PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Best Paper Awards @ NeurIPS ML …
[NeurIPS-2023] Annual Conference on Neural Information Processing Systems