Amirreza Zamani

According to our database, Amirreza Zamani authored at least 34 papers between 2020 and 2026.

Collaborative distances:

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

2026

On Information Theoretic Fairness: From Perfect to Bounded Demographic Parity.

Amirreza Zamani, Abolfazl Changizi, Mikael Skoglund

IEEE Trans. Inf. Theory, July, 2026

Sparse Discrete Laplace and Gaussian Mechanisms under Local Differential Privacy.

Amirreza Zamani, Sajad Daei, Parastoo Sadeghi, Mikael Skoglund

CoRR, May, 2026

Multi-Task Semantic Communications With Bounded Privacy Leakage Constraint.

Amirreza Zamani, Mikael Skoglund

IEEE Trans. Inf. Theory, March, 2026

Sparse Point-wise Privacy Leakage: Mechanism Design and Fundamental Limits.

Amirreza Zamani, Sajad Daei, Parastoo Sadeghi, Mikael Skoglund

CoRR, January, 2026

Privacy-Utility Trade-offs Under Multi-Level Point-Wise Leakage Constraints.

Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund

CoRR, January, 2026

Cache-Aided Variable-Length Coding With Perfect Privacy.

Amirreza Zamani, Mikael Skoglund

IEEE J. Sel. Areas Commun., 2026

2025

An Information Geometric Approach to Fairness With Equalized Odds Constraint.

Amirreza Zamani, Ayfer Özgür, Mikael Skoglund

CoRR, December, 2025

On Information Theoretic Fairness With A Bounded Point-Wise Statistical Parity Constraint: An Information Geometric Approach.

Amirreza Zamani, Ayfer Özgür, Mikael Skoglund

CoRR, November, 2025

Risk level dependent Minimax Quantile lower bounds for Interactive Statistical Decision Making.

Raghav Bongole, Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund

CoRR, October, 2025

Variable-Length Coding with Zero and Non-Zero Privacy Leakage.

Amirreza Zamani, Mikael Skoglund

Entropy, 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

A Unified Framework for Joint Semantic and Privacy Design Under Bounded Leakage.

Amirreza Zamani, Sajad Daei, Abolfazl Changizi, Mikael Skoglund

Proceedings of the 26th IEEE International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications, 2025

An Information Geometric Approach to Local Information Privacy with Applications to Max-lift and Local Differential Privacy.

Amirreza Zamani, Parastoo Sadeghi, Mikael Skoglund

Proceedings of the IEEE Information Theory Workshop, 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