Salman Salamatian

Orcid: 0000-0002-3773-8442

According to our database1, Salman Salamatian authored at least 31 papers between 2013 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Asymptotics of Language Model Alignment.
Proceedings of the IEEE International Symposium on Information Theory, 2024

2023
Wideband Time Frequency Coding.
IEEE Trans. Veh. Technol., August, 2023

2022
Generalizing Correspondence Analysis for Applications in Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Serial Quantization for Sparse Time Sequences.
IEEE Trans. Signal Process., 2021

Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of (3 2).
IEEE J. Sel. Areas Inf. Theory, 2021

Network Coding-Based Post-Quantum Cryptography.
IEEE J. Sel. Areas Inf. Theory, 2021

2020
Centralized vs Decentralized Targeted Brute-Force Attacks: Guessing With Side-Information.
IEEE Trans. Inf. Forensics Secur., 2020

Approximate Gács-Körner Common Information.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Neural Network Coding.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

Distributed Quantization for Sparse Time Sequences.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Gaussian Intersymbol Interference Channels With Mismatch.
IEEE Trans. Inf. Theory, 2019

Why Botnets Work: Distributed Brute-Force Attacks Need No Synchronization.
IEEE Trans. Inf. Forensics Secur., 2019

Mismatched Guesswork.
CoRR, 2019

Mismatched Guesswork and One-to-One Codes.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Capacity of Wideband Multipath Fading Networks with Physically Degraded Broadcast.
Proceedings of the 2019 IEEE Information Theory Workshop, 2019

Joint Sampling and Recovery of Correlated Sources.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Task-Based Quantization for Recovering Quadratic Functions Using Principal Inertia Components.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Correspondence Analysis Using Neural Networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Correspondence Analysis of Government Expenditure Patterns.
CoRR, 2018

Deep Orthogonal Representations: Fundamental Properties and Applications.
CoRR, 2018

Generalizing Bottleneck Problems.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

2017
Centralized vs decentralized multi-agent guesswork.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Gaussian ISI channels with mismatch.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Guessing with limited memory.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016
Maximum Entropy Functions: Approximate Gacs-Korner for Distributed Compression.
CoRR, 2016

Efficient coding for multi-source networks using Gács-Körner common information.
Proceedings of the 2016 International Symposium on Information Theory and Its Applications, 2016

2015
Managing Your Private and Public Data: Bringing Down Inference Attacks Against Your Privacy.
IEEE J. Sel. Top. Signal Process., 2015

A Successive Description property of Monotone-Chain Polar Codes for Slepian-Wolf coding.
Proceedings of the IEEE International Symposium on Information Theory, 2015

2014
SPPM: Sparse Privacy Preserving Mappings.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

From the Information Bottleneck to the Privacy Funnel.
Proceedings of the 2014 IEEE Information Theory Workshop, 2014

2013
How to hide the elephant- or the donkey- in the room: Practical privacy against statistical inference for large data.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013


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