Watermark Robustness and Radioactivity May Be at Odds in Federated Learning
Comments 9 pages, 4 figures (not including citation and appendix) submitted to ICLR 2026
期刊&会议
International Conference on Learning Representations · 会议 · Machine Learning
Comments 9 pages, 4 figures (not including citation and appendix) submitted to ICLR 2026
机构 * The Ohio State University(俄亥俄州立大学) ; Dolby Laboratories(杜比实验室) ; Cisco Systems(思科系统)
Comments ICLR 2025 Camera Ready Version
机构 * Faculty of Physics, Institute for the Dynamics of Complex Systems, University of Göttingen(物理学院、复杂系统动力学研究所、哥廷根大学) ; Max Planck Institute for Dynamics and Self-Organization, Göttingen(动态与自我组织马克斯·普朗克研究所,哥廷根) ; Göttingen Campus Institute for Dynamics of Biological Networks, University of Göttingen(哥廷根校区生物网络动力学研究所、哥廷根大学) ; Institute of Computer Science and Campus Institute Data Science, University of Göttingen(计算机科学研究所和校园数据科学研究所、哥廷根大学)
Comments Presented as an oral at ICLR 2025. Conference version: https://openreview.net/forum?id=CLE09ESvul, 24 pages, 11 figures