Data Disclosure Mechanism Design with Non-zero Leakage. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (ITW, 2020)

A Design Framework for Epsilon-Private Data Disclosure. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (CoRR, 2020)

A Design Framework for Strongly χ²-Private Data Disclosure. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (IEEE Trans. Inf. Forensics Secur., 2021)

Bounds for Privacy-Utility Trade-off with Non-zero Leakage. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (ISIT, 2022)

Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (ITW, 2022)

Data Disclosure With Non-Zero Leakage and Non-Invertible Leakage Matrix. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (IEEE Trans. Inf. Forensics Secur., 2022)

Multi-User Privacy Mechanism Design with Non-zero Leakage. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (ITW, 2023)

Private Variable-Length Coding with Zero Leakage. - Amirreza Zamani; Tobias J. Oechtering; Deniz Gündüz; Mikael Skoglund (WIFS, 2023)

Private Variable-Length Coding with Non-Zero Leakage. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (WIFS, 2023)

Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage. - Amirreza Zamani; Tobias J. Oechtering; Deniz Gündüz; Mikael Skoglund (WiOpt, 2023)

New Privacy Mechanism Design With Direct Access to the Private Data. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (CoRR, 2023)

Privacy Mechanism Design Through the Lens of Information Theory: With Applications to Compression, Caching, and Semantic Communication ; Integritetsmekanismdesign genom informationsteorins lins: Med tillämpningar inom komprimering, cachning och semantisk kommunikation. - Amirreza Zamani (2023)

Statistical Privacy Mechanism Design Using Separation Technique. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (EUSIPCO, 2024)

Multi-Task Private Semantic Communication. - Amirreza Zamani; Sajad Daei; Tobias J. Oechtering; Mikael Skoglund (ISIT, 2024)

On Information Theoretic Fairness: Compressed Representations with Perfect Demographic Parity. - Amirreza Zamani; Borja Rodríguez Gálvez; Mikael Skoglund (ITW, 2024)

Improving Achievability of Cache-Aided Private Variable-Length Coding with Zero Leakage. - Amirreza Zamani; Mikael Skoglund (WiOpt, 2024)

Extended Functional Representation Lemma: A Tool For Privacy, Semantic Representation, Caching, and Compression Design. - Amirreza Zamani; Mikael Skoglund (CoRR, 2024)

On the Privacy-Utility Trade-Off With and Without Direct Access to the Private Data. - Amirreza Zamani; Tobias J. Oechtering; Mikael Skoglund (IEEE Trans. Inf. Theory, 2024)

Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution. - Sajad Daei; Amirreza Zamani; Saikat Chatterjee; Mikael Skoglund; Gábor Fodor 001 (ICASSP, 2025)

Private Semantic Communications with Separate Blind Encoders. - Amirreza Zamani; Mikael Skoglund (ICASSP, 2025)

Private Variable-Length Coding with Sequential Encoder. - Amirreza Zamani; Tobias J. Oechtering; Deniz Gündüz; Mikael Skoglund (WCNC, 2025)

Information-Theoretic Fairness with a Bounded Statistical Parity Constraint. - Amirreza Zamani; Abolfazl Changizi; Ragnar Thobaben; Mikael Skoglund (WiOpt, 2025)

An Information Geometric Approach to Local Information Privacy with Applications to Max-lift and Local Differential Privacy. - Amirreza Zamani; Parastoo Sadeghi; Mikael Skoglund (CoRR, 2025)