VITA-Group / Shake-to-LeakLinks
[SatML 2024] Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk
☆16Updated 10 months ago
Alternatives and similar repositories for Shake-to-Leak
Users that are interested in Shake-to-Leak are comparing it to the libraries listed below
Sorting:
- Official implementation of NeurIPS'24 paper "Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Model…☆49Updated last year
- ☆23Updated 2 years ago
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆60Updated last year
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆58Updated last year
- The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Uns…☆86Updated 10 months ago
- ☆59Updated 3 years ago
- [ICML 2024] Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts (Official Pytorch Implementati…☆51Updated last week
- ☆65Updated last year
- ☆19Updated 2 years ago
- ☆37Updated last year
- PDM-based Purifier☆22Updated last year
- [CVPR2025] Official Repository for IMMUNE: Improving Safety Against Jailbreaks in Multi-modal LLMs via Inference-Time Alignment☆26Updated 7 months ago
- ☆53Updated 2 years ago
- [ECCV 2024] Official PyTorch Implementation of "How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs"☆84Updated 2 years ago
- [NeurIPS 2021] “When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning?”☆48Updated 4 years ago
- Investigating and Defending Shortcut Learning in Personalized Diffusion Models☆12Updated last year
- [NeurIPS 2022] "Randomized Channel Shuffling: Minimal-Overhead Backdoor Attack Detection without Clean Datasets" by Ruisi Cai*, Zhenyu Zh…☆21Updated 3 years ago
- ☆42Updated last year
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆27Updated last year
- [NeurIPS 2024 D&B Track] UnlearnCanvas: A Stylized Image Dataset to Benchmark Machine Unlearning for Diffusion Models by Yihua Zhang, Cho…☆83Updated last year
- [ICLR 2022 official code] Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness?☆29Updated 3 years ago
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆139Updated 7 months ago
- Certified robustness "for free" using off-the-shelf diffusion models and classifiers☆44Updated 2 years ago
- [CVPR 2024] Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers☆16Updated last year
- [ICML 2023] Are Diffusion Models Vulnerable to Membership Inference Attacks?☆42Updated last year
- ☆43Updated 2 years ago
- ☆33Updated 3 years ago
- Official implementation of "When Adversarial Training Meets Vision Transformers: Recipes from Training to Architecture" published at Neur…☆37Updated last year
- ☆21Updated last year
- This is the repository that introduces research topics related to protecting intellectual property (IP) of AI from a data-centric perspec…☆23Updated 2 years ago