The main repository of SNF project: Information-theoretic analysis of deep identification systems (No. 200021_182063).
- Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs among Complexity, Leakage, and Utility, IEEE Transactions on Information Forensics and Security, 2023
- Digital twins of physical printing-imaging channel, in Proc. IEEE International Workshop on Information Forensics and Security (WIFS) 2022
- 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