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Disrupting Diffusion: Token-Level Attention Erasure Attack against Diffusion-based Customization(ACM MM2024)
[NeurIPS-2023] Annual Conference on Neural Information Processing Systems
[CVPR'25]Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks
TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.
Spectrum simulation attack (ECCV'2022 Oral) towards boosting the transferability of adversarial examples
A web-based collaborative LaTeX editor
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
ICML 2024 Paper "Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies"
[AAAI 2023] Exploring CLIP for Assessing the Look and Feel of Images
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
Official repository for the paper "TraSCE: Trajectory Steering for Concept Erasure"
Official implementation of "Prompt-Agnostic Adversarial Perturbation for Customized Diffusion Models"
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Pytorch implementation for the pilot study on the robustness of latent diffusion models.
[CVPR'24 Oral] Metacloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning
Code for ICML 2024 Paper "PID: Prompt-Independent Data Protection Against Latent Diffusion Models"
Anti-DreamBooth: Protecting users from personalized text-to-image synthesis (ICCV 2023)
Remove adversarial noise from images
The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.
[CVPR 2024 Highlight] Style Injection in Diffusion: A Training-free Approach for Adapting Large-scale Diffusion Models for Style Transfer
DiffusionGuard: A Robust Defense Against Malicious Diffusion-based Image Editing (ICLR 2025)
High-Resolution Image Synthesis with Latent Diffusion Models