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cs.CV2025
Boosting Generative Adversarial Transferability with Self-supervised Vision Transformer Features
Shangbo Wu, Yu-an Tan, Ruinan Ma +3
The ability of deep neural networks (DNNs) come from extracting and interpreting features from the data provided. By exploiting intermediate features in DNNs instead of relying on…
cs.CV2023★ 1 cited
Towards Transferable Adversarial Attacks with Centralized Perturbation
Shangbo Wu, Yu-an Tan, Yajie Wang +3
Adversarial transferability enables black-box attacks on unknown victim deep neural networks (DNNs), rendering attacks viable in real-world scenarios. Current transferable attacks…
cs.CV2023
Unified High-binding Watermark for Unconditional Image Generation Models
Ruinan Ma, Yu-an Tan, Shangbo Wu +3
Deep learning techniques have implemented many unconditional image generation (UIG) models, such as GAN, Diffusion model, etc. The extremely realistic images (also known as AI-Gene…