Salman Salamatian
Salman Salamatian
Quantitative Researcher, The D.E.Shaw Group
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
From the information bottleneck to the privacy funnel
A Makhdoumi, S Salamatian, N Fawaz, M Médard
2014 IEEE Information Theory Workshop (ITW 2014), 501-505, 2014
1032014
How to hide the elephant-or the donkey-in the room: Practical privacy against statistical inference for large data
S Salamatian, A Zhang, F du Pin Calmon, S Bhamidipati, N Fawaz, ...
2013 IEEE Global Conference on Signal and Information Processing, 269-272, 2013
622013
Managing your private and public data: Bringing down inference attacks against your privacy
S Salamatian, A Zhang, F du Pin Calmon, S Bhamidipati, N Fawaz, ...
IEEE Journal of Selected Topics in Signal Processing 9 (7), 1240-1255, 2015
452015
Why botnets work: Distributed brute-force attacks need no synchronization
S Salamatian, W Huleihel, A Beirami, A Cohen, M Médard
IEEE Transactions on Information Forensics and Security 14 (9), 2288-2299, 2019
202019
Generalizing bottleneck problems
H Hsu, S Asoodeh, S Salamatian, FP Calmon
2018 IEEE International Symposium on Information Theory (ISIT), 531-535, 2018
192018
Task-based quantization for recovering quadratic functions using principal inertia components
S Salamatian, N Shlezinger, YC Eldar, M Médard
2019 IEEE International Symposium on Information Theory (ISIT), 390-394, 2019
182019
Guessing with limited memory
W Huleihel, S Salamatian, M Médard
2017 IEEE International Symposium on Information Theory (ISIT), 2253-2257, 2017
122017
Joint sampling and recovery of correlated sources
N Shlezinger, S Salamatian, YC Eldar, M Médard
2019 IEEE International Symposium on Information Theory (ISIT), 385-389, 2019
82019
Centralized vs decentralized multi-agent guesswork
S Salamatian, A Beirami, A Cohen, M Médard
2017 IEEE International Symposium on Information Theory (ISIT), 2258-2262, 2017
82017
Maximum Entropy Functions: Approximate Gacs-Korner for Distributed Compression
S Salamatian, A Cohen, M Médard
arXiv preprint arXiv:1604.03877, 2016
62016
Efficient coding for multi-source networks using Gács-Körner common information
S Salamatian, A Cohen, M Médard
2016 International Symposium on Information Theory and Its Applications …, 2016
62016
Correspondence analysis using neural networks
H Hsu, S Salamatian, FP Calmon
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
52019
SPPM: Sparse Privacy Preserving Mappings.
S Salamatian, N Fawaz, B Kveton, N Taft
UAI, 712-721, 2014
52014
Privacy against inference attacks for large data
N Fawaz, S Salamatian, F du Pin Calmon, SS Bhamidipati, PC Oliveira, ...
US Patent App. 14/765,601, 2015
42015
Privacy-Utility Tradeoff and Privacy Funnel
S Salamatian, F du Pin Calmon, N Fawaz, A Makhdoumi, M Médard
Unpublished preprint, http://www. mit. edu/~ salmansa/files/privacy_TIFS. pdf, 2020
32020
Serial quantization for sparse time sequences
A Cohen, N Shlezinger, S Salamatian, YC Eldar, M Médard
IEEE Transactions on Signal Processing, 2021
22021
Network Coding-Based Post-Quantum Cryptography
A Cohen, RGL D’Oliveira, S Salamatian, M Médard
IEEE Journal on Selected Areas in Information Theory 2 (1), 49-64, 2021
22021
Energy-efficient Dynamic Resource Allocation for Network Functions in Softwarization based Networks
M Liu, G Feng, S Qin, W Zhuang
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
22020
Distributed Quantization for Sparse Time Sequences
A Cohen, N Shlezinger, S Salamatian, YC Eldar, M Médard
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
22020
Mismatched guesswork
S Salamatian, L Liu, A Beirami, M Médard
arXiv preprint arXiv:1907.00531, 2019
22019
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Articles 1–20