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  • "Compressed Data Sharing based on Information Bottleneck Model", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022. [pdf|bib]
  • "Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach", IEEE International Conference on Image Processing (ICIP), 2022. [pdf|bib]
  • "Privacy-Preserving Image Template Sharing Using Contrastive Learning", Entropy Journal special issue "Information-Theoretic Approach to Privacy and Security", 2022. [pdf|bib]
  • "Decentralized distributed multi-institutional {PET} image segmentation using a federated deep learning framework", Clinical Nuclear Medicine, 2022%, % [pdf|bib]
  • "Variational Leakage: The Role of Information Complexity in Privacy Leakage", Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021. [pdf|bib]
  • "Privacy-Preserving Near Neighbor Search via Sparse Coding with Ambiguation", IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021. [pdf|bib]
  • "ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets", 2nd Visual Inductive Priors for Data-Efficient Deep Learning Workshop, 2021. [pdf|bib]