Decheng Liu

A Knowledge-guided Adversarial Defense for Resisting Malicious Visual Manipulation

2025 · arXiv (Cornell University)

Malicious applications of visual manipulation have raised serious threats to the security and reputation of users in many fields. To alleviate these issues, adversarial noise-based defenses have been enthusiastically studied in recent years. However, ``data-only" …