zhiyichin / P4DLinks
[ICML 2024] Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts (Official Pytorch Implementation)
☆51Updated 3 weeks ago
Alternatives and similar repositories for P4D
Users that are interested in P4D are comparing it to the libraries listed below
Sorting:
- The official implementation of ECCV'24 paper "To Generate or Not? Safety-Driven Unlearned Diffusion Models Are Still Easy To Generate Uns…☆86Updated 11 months ago
- ☆38Updated last year
- 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
- ☆46Updated last year
- A collection of resources on attacks and defenses targeting text-to-image diffusion models☆90Updated last month
- ☆35Updated last year
- List of T2I safety papers, updated daily, welcome to discuss using Discussions☆67Updated last year
- [CVPR'24 Oral] Metacloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning☆28Updated last year
- [MM '24] EvilEdit: Backdooring Text-to-Image Diffusion Models in One Second☆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
- Pytorch implementation for the pilot study on the robustness of latent diffusion models.☆13Updated 2 years ago
- ☆59Updated 3 years ago
- 🛡️[ICLR'2024] Toward effective protection against diffusion-based mimicry through score distillation, a.k.a SDS-Attack☆59Updated last year
- [CVPR'25]Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks☆29Updated 7 months ago
- [ECCV-2024] Transferable Targeted Adversarial Attack, CLIP models, Generative adversarial network, Multi-target attacks☆38Updated 9 months ago
- ☆65Updated last year
- [ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation…☆140Updated 8 months ago
- [SatML 2024] Shake to Leak: Fine-tuning Diffusion Models Can Amplify the Generative Privacy Risk☆16Updated 10 months ago
- ☆28Updated last year
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆23Updated last year
- DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing (ICLR 2025)☆43Updated 8 months ago
- ☆40Updated 2 years ago
- Code for the paper "Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks"☆39Updated last year
- code of paper "IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Gene…☆34Updated last year
- ☆48Updated last year
- Code for Neurips 2024 paper "Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models"☆59Updated last year
- The official implementation of the paper "Towards Safe Self-Distillation of Internet-Scale Text-to-Image Diffusion Models" (ICML 2023 Wor…☆22Updated last year
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆60Updated last year
- [ECCV2024] Immunizing text-to-image Models against Malicious Adaptation☆17Updated last year