mo666666

mo666666's Stars

• openai/CLIP

  CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

  Language:Jupyter Notebook26.7k3254053.4k

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.5k2184692.9k

• ytongbai/LVM

  Language:Python1.8k1172455

• MadryLab/photoguard

  Raising the Cost of Malicious AI-Powered Image Editing

  Language:Jupyter Notebook57514545

• psyker-team/mist

  Watermark you artworks to stay away from unauthorized diffusion style mimicry!

  Language:Python32301121

• JailbreakBench/jailbreakbench

  JailbreakBench: An Open Robustness Benchmark for Jailbreaking Language Models [NeurIPS 2024 Datasets and Benchmarks Track]

  Language:Python26041026

• LLM-Tuning-Safety/LLMs-Finetuning-Safety

  We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20 via OpenAI’s APIs.

  Language:Python2524829

• chs20/RobustVLM

  [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models

  Language:Python105674

• arobey1/smooth-llm

  Language:Python861411

• chujiezheng/LLM-Safeguard

  Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"

  Language:Python79197

• huanranchen/DiffusionClassifier

  Official code implement of Robust Classification via a Single Diffusion Model

  Language:Python65243

• YuxinWenRick/diffusion_memorization

  Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)

  Language:Python60267

• ys-zong/VLGuard

  [ICML 2024] Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models.

  Language:Python47392

• sen-mao/SuppressEOT

  Official Implementations "Get What You Want, Not What You Don't: Image Content Suppression for Text-to-Image Diffusion Models" (ICLR2024)

  Language:Python41441

• TreeLLi/APT

  One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models

  Language:Python38253

• erfanshayegani/Jailbreak-In-Pieces

  [ICLR 2024 Spotlight 🔥 ] - [ Best Paper Award SoCal NLP 2023 🏆] - Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models

  Language:Python28332

• weizeming/SAM_AT

  Language:Python21102

• SchwinnL/LLM_Embedding_Attack

  Code to conduct an embedding attack on LLMs

  Language:Python20223

• AISG-Technology-Team/GCSS-Track-1A-Submission-Guide

  Submission Guide + Discussion Board for AI Singapore Global Challenge for Safe and Secure LLMs (Track 1A).

  160192

• Jayfeather1024/Backdoor-Enhanced-Alignment

  Language:Jupyter Notebook100

• Robin-WZQ/T2IShield

  [ECCV24] T2IShield: Defending Against Backdoors on Text-to-Image Diffusion Models

  Language:Jupyter Notebook10141

• PKU-ML/Diffusion-PID-Protection

  Language:Python9111

• renjie3/MemAttn

  Language:Python8110

• PKU-ML/TMLlib

  A Trustworthy Machine Learning Algorithm Library

  Language:Python7200

• Huang-yihao/Personalization-based_backdoor

  6100

• PKU-ML/TERD

  TERD: A Framework for Backdoor Detection on Diffusion Model

  Language:Python6302

• PKU-ML/ReBAT

  Official PyTorch implementation of ReBAT (ReBalanced Adversarial Training) in NeurIPS 2023 "Balance, Imbalance, and Rebalance: Understanding Robust Overfitting from a Minimax Game Perspective".

  Language:Python5102

• mo666666/TERD

  TERD: A Framework for Backdoor Detection on Diffusion Model

  Language:Python20

• SPIN-UMass/MeanSparse

  Language:Python2301

• tenghuilee/ContrastDiffPurification

  Language:Python2