6 citations · 17 across the 12 of their papers we have counts for
4 papers · 1 filter
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…
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…
Towards Invisible Backdoor Attacks in the Frequency Domain against Deep Neural Networks
Xinrui Liu, Yajie Wang, Yu-an Tan +2
Deep neural networks (DNNs) have made tremendous progress in the past ten years and have been applied in various critical applications. However, recent studies have shown that deep…
Stealthy Low-frequency Backdoor Attack against Deep Neural Networks
Xinrui Liu, Yu-an Tan, Yajie Wang +2
Deep neural networks (DNNs) have gain its popularity in various scenarios in recent years. However, its excellent ability of fitting complex functions also makes it vulnerable to b…