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Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs among Complexity, Leakage, and Utility, IEEE Transactions on Information Forensics and Security, 2023
Mathematical model of printing-imaging channel for blind detection of fake copy detection patterns, IEEE International Workshop on Information Forensics and Security (WIFS) 2022
Anomaly localization for copy detection patterns through print estimation in Proc. IEEE International Workshop on Information Forensics and Security (WIFS) 2022
Authentication of copy detection patterns under machine learning attacks: a supervised approach, Proc. IEEE International Conference on Image Processing (ICIP) 2022
Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?, Proc. IEEE International Workshop on Information Forensics and Security (WIFS) 2021
Mobile authentication of copy detection patterns: how critical is to know fakes?, Proc. IEEE International Workshop on Information Forensics and Security (WIFS) 2021
Variational Information Bottleneck for Semi-Supervised Classification, Proc. Entropy Journal special issue "Information Bottleneck: Theory and Applications in Deep Learning", 2020
Machine learning through cryptographic glasses: combating adversarial attacks by key based diversified aggregation, EURASIP Journal on Information Security, 2020
Defending against adversarial attacks by randomized diversification, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR'2019
Clonability of anti-counterfeiting printable graphical codes: a machine learning approach, IEEE International Conference on Acoustics, Speech, and Signal Processing. ICASSP2019