Frequency Bias Matters: Diving into Robust and Generalized Deep Image Forgery Detection
频率偏差至关重要:深入探讨鲁棒且通用的深度图像伪造检测
机构 * Faculty of Data Science, City University of Macau(数据科学学院,澳门城市大学) ; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences(深圳先进技术研究所,中国科学院)
专题命中 AI治理与伦理 :alignment(abstract)
AI总结 本文从频率视角分析深度图像伪造检测器的通用性和鲁棒性问题,提出两步频率对齐方法以提升检测可靠性并增强反伪造能力。
Comments Accepted for publication in IEEE Transactions on Dependable and Secure Computing