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cs.IT2025
The Query/Hit Model for Sequential Hypothesis Testing
Mahshad Shariatnasab, Stefano Rini, Farhad Shirani +1
This work introduces the Query/Hit (Q/H) learning model. The setup consists of two agents. One agent, Alice, has access to a streaming source, while the other, Bob, does not have d…
cs.IT2023
The Privacy-Utility Tradeoff in Rank-Preserving Dataset Obfuscation
Mahshad Shariatnasab, Farhad Shirani, S. Sitharma Iyengar
Dataset obfuscation refers to techniques in which random noise is added to the entries of a given dataset, prior to its public release, to protect against leakage of private inform…
cs.IT2021
On Graph Matching Using Generalized Seed Side-Information
Mahshad Shariatnasab, Farhad Shirani, Siddharth Garg +1
In this paper, matching pairs of stocahstically generated graphs in the presence of generalized seed side-information is considered. The graph matching problem emerges naturally in…