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Salman Salamatian
Salman Salamatian
Quantitative Researcher, The D.E.Shaw Group
mit.edu의 이메일 확인됨 - 홈페이지
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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
2142014
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
882015
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
772013
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
65*2019
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
452021
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
382019
Generalizing bottleneck problems
H Hsu, S Asoodeh, S Salamatian, FP Calmon
2018 IEEE International Symposium on Information Theory (ISIT), 531-535, 2018
352018
Centralized vs decentralized targeted brute-force attacks: Guessing with side-information
S Salamatian, W Huleihel, A Beirami, A Cohen, M Médard
IEEE Transactions on Information Forensics and Security 15, 3749-3759, 2020
27*2020
Neural network coding
L Liu, A Solomon, S Salamatian, M Médard
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
182020
Privacy-utility tradeoff and privacy funnel
S Salamatian, FP Calmon, N Fawaz, A Makhdoumi, M Médard
Unpublished preprint, http://www. mit. edu/∼ salmansa/files/privacy TIFS. pdf, 2020
152020
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
132019
Correspondence analysis using neural networks
H Hsu, S Salamatian, FP Calmon
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
112019
Serial quantization for sparse time sequences
A Cohen, N Shlezinger, S Salamatian, YC Eldar, M Médard
IEEE Transactions on Signal Processing 69, 3299-3314, 2021
102021
Mismatched guesswork and one-to-one codes
S Salamatian, L Liu, A Beirami, M Médard
2019 IEEE Information Theory Workshop (ITW), 1-5, 2019
10*2019
Maximum entropy functions: Approximate gacs-korner for distributed compression
S Salamatian, A Cohen, M Médard
arXiv preprint arXiv:1604.03877, 2016
82016
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
72016
SPPM: Sparse Privacy Preserving Mappings.
S Salamatian, N Fawaz, B Kveton, N Taft
UAI, 712-721, 2014
72014
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
62015
Generalizing correspondence analysis for applications in machine learning
H Hsu, S Salamatian, FP Calmon
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9347 …, 2021
52021
Asymptotics of language model alignment
JQ Yang, S Salamatian, Z Sun, AT Suresh, A Beirami
arXiv preprint arXiv:2404.01730, 2024
42024
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학술자료 1–20