Amirreza Zamani

According to our database, Amirreza Zamani authored at least 23 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, January, 2025

Information-Theoretic Fairness with a Bounded Statistical Parity Constraint.

Amirreza Zamani, Abolfazl Changizi, Ragnar Thobaben, Mikael Skoglund

Proceedings of the 23rd International Symposium on Modeling and Optimization in Mobile, 2025

Private Variable-Length Coding with Sequential Encoder.

Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

Private Semantic Communications with Separate Blind Encoders.

Amirreza Zamani, Mikael Skoglund

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Near-Field ISAC in 6G: Addressing Phase Nonlinearity via Lifted Super-Resolution.

Sajad Daei, Amirreza Zamani, Saikat Chatterjee, Mikael Skoglund, Gábor Fodor

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

Extended Functional Representation Lemma: A Tool For Privacy, Semantic Representation, Caching, and Compression Design.

Amirreza Zamani, Mikael Skoglund

CoRR, 2024

Improving Achievability of Cache-Aided Private Variable-Length Coding with Zero Leakage.

Amirreza Zamani, Mikael Skoglund

Proceedings of the 22nd International Symposium on Modeling and Optimization in Mobile, 2024

On Information Theoretic Fairness: Compressed Representations with Perfect Demographic Parity.

Amirreza Zamani, Borja Rodríguez Gálvez, Mikael Skoglund

Proceedings of the IEEE Information Theory Workshop, 2024

Multi-Task Private Semantic Communication.

Amirreza Zamani, Sajad Daei, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE International Symposium on Information Theory, 2024

Statistical Privacy Mechanism Design Using Separation Technique.

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the 32nd European Signal Processing Conference, 2024

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

PhD thesis, 2023

New Privacy Mechanism Design With Direct Access to the Private Data.

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

CoRR, 2023

Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage.

Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

Private Variable-Length Coding with Non-Zero Leakage.

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

Private Variable-Length Coding with Zero Leakage.

Amirreza Zamani, Tobias J. Oechtering, Deniz Gündüz, Mikael Skoglund

Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

Multi-User Privacy Mechanism Design with Non-zero Leakage.

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE Information Theory Workshop, 2023

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

Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage.

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE Information Theory Workshop, 2022

Bounds for Privacy-Utility Trade-off with Non-zero Leakage.

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

A Design Framework for Strongly χ²-Private Data Disclosure.

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

IEEE Trans. Inf. Forensics Secur., 2021

2020

A Design Framework for Epsilon-Private Data Disclosure.

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

CoRR, 2020

Data Disclosure Mechanism Design with Non-zero Leakage.

Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

Proceedings of the IEEE Information Theory Workshop, 2020