2025
An Adversarial Perturbation Generation Method for Image Anti-Forensics Based on Dual-Path Spatial Attention GAN
ICASSP 2025accepted
Adversarial attacks are essential for evaluating the robustness of deep learning-based forensics, revealing potential vulnerabilities. However, most existing adversarial sample generation methods face significant trade-offs between anti-forensic ability, transferability, and visual quality, as they…