Stars
Code for the paper "Evaluating Large Language Models Trained on Code"
Official implementation for “SafeMVDrive: Multi-view Safety-Critical Driving Video Synthesis in the Real World Domain”
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors
[ICML 2025] An official source code for paper "FlipAttack: Jailbreak LLMs via Flipping".
[ICML 2024] RAUCA: A robust and accurate adversarial camouflage generation method
JailbreakBench: An Open Robustness Benchmark for Jailbreaking Language Models [NeurIPS 2024 Datasets and Benchmarks Track]
Bag of Tricks: Benchmarking of Jailbreak Attacks on LLMs. Empirical tricks for LLM Jailbreaking. (NeurIPS 2024)
[CCS'24] A dataset consists of 15,140 ChatGPT prompts from Reddit, Discord, websites, and open-source datasets (including 1,405 jailbreak prompts).
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
An implementation of the state-of-the-art Deep Active Learning algorithms
Code for our paper "Benchmarking the Robustness of Image Watermarks"
Script to remotely check GPU servers for free GPUs
[ACL 2024] Official PyTorch implementation of "IntactKV: Improving Large Language Model Quantization by Keeping Pivot Tokens Intact"
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Existing Literature about Machine Unlearning
A reading list for large models safety, security, and privacy (including Awesome LLM Security, Safety, etc.).
国家自然科学基金申请书正文（面上项目）LaTeX 模板（非官方）
[ICLR 2024] The official implementation of our ICLR2024 paper "AutoDAN: Generating Stealthy Jailbreak Prompts on Aligned Large Language Models".
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
A Comprehensive Assessment of Trustworthiness in GPT Models
High-Resolution Image Synthesis with Latent Diffusion Models
Implementation of "On Function-Coupled Watermarks for Deep Neural Networks"
本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。
A curated list of awesome papers on dataset distillation and related applications.
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python