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05/31/2022
Wideband Time Frequency Coding
In the wideband regime, the performance of many of the popular modulatio...
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06/08/2021
Private Multi-Group Aggregation
We study the differentially private multi group aggregation (PMGA) probl...
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06/04/2021
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
Balancing the needs of data privacy and predictive utility is a central ...
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02/09/2021
Differential Privacy for Binary Functions via Randomized Graph Colorings
We present a framework for designing differentially private (DP) mechani...
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09/03/2020
Network Coding-Based Post-Quantum Cryptography
We propose a novel hybrid universal network-coding cryptosystem (HUNCC) ...
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08/21/2020
Low Influence, Utility, and Independence in Differential Privacy: A Curious Case of 3 2
We study the relationship between randomized low influence functions and...
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01/15/2020
Notes on Communication and Computation in Secure Distributed Matrix Multiplication
We consider the problem of secure distributed matrix multiplication in w...
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12/10/2019
Advances and Open Problems in Federated Learning
Federated learning (FL) is a machine learning setting where many clients...
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12/24/2018
GASP Codes for Secure Distributed Matrix Multiplication
We consider the problem of secure distributed matrix multiplication (SDM...
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10/12/2018
One-Shot PIR: Refinement and Lifting
We study a class of private information retrieval (PIR) methods that we ...
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08/16/2018
The Computational Wiretap Channel
We present the computational wiretap channel: Alice has some data x and ...
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02/18/2018
Lifting Private Information Retrieval from Two to any Number of Messages
We study private information retrieval (PIR) on coded data with possibly...
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02/06/2018