Amirreza Zamani

Orcid: 0000-0001-9296-4939

According to our database1, Amirreza Zamani authored at least 18 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
On the Privacy-Utility Trade-Off With and Without Direct Access to the Private Data.
IEEE Trans. Inf. Theory, 2024

Extended Functional Representation Lemma: A Tool For Privacy, Semantic Representation, Caching, and Compression Design.
CoRR, 2024

Improving Achievability of Cache-Aided Private Variable-Length Coding with Zero Leakage.
CoRR, 2024

On Information Theoretic Fairness: Compressed Representations With Perfect Demographic Parity.
CoRR, 2024

Multi-Task Private Semantic Communication.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Statistical Privacy Mechanism Design Using Separation Technique.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Private Variable-Length Coding with Sequential Encoder.
CoRR, 2023

New Privacy Mechanism Design With Direct Access to the Private Data.
CoRR, 2023

Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage.
Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

Private Variable-Length Coding with Non-Zero Leakage.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

Private Variable-Length Coding with Zero Leakage.
Proceedings of the IEEE International Workshop on Information Forensics and Security, 2023

Multi-User Privacy Mechanism Design with Non-zero Leakage.
Proceedings of the IEEE Information Theory Workshop, 2023

2022
Data Disclosure With Non-Zero Leakage and Non-Invertible Leakage Matrix.
IEEE Trans. Inf. Forensics Secur., 2022

Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage.
Proceedings of the IEEE Information Theory Workshop, 2022

Bounds for Privacy-Utility Trade-off with Non-zero Leakage.
Proceedings of the IEEE International Symposium on Information Theory, 2022

2021
A Design Framework for Strongly χ²-Private Data Disclosure.
IEEE Trans. Inf. Forensics Secur., 2021

2020
A Design Framework for Epsilon-Private Data Disclosure.
CoRR, 2020

Data Disclosure Mechanism Design with Non-zero Leakage.
Proceedings of the IEEE Information Theory Workshop, 2020


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