research
∙
08/11/2023
Sparsity and Privacy in Secret Sharing: A Fundamental Trade-Off
This work investigates the design of sparse secret sharing schemes that ...
share
research
∙
06/27/2023
Sparse and Private Distributed Matrix Multiplication with Straggler Tolerance
This paper considers the problem of outsourcing the multiplication of tw...
research
∙
05/09/2023
Balancing Privacy and Security in Federated Learning with FedGT: A Group Testing Framework
We propose FedGT, a novel framework for identifying malicious clients in...
research
∙
06/14/2022
Efficient Private Storage of Sparse Machine Learning Data
We consider the problem of maintaining sparsity in private distributed s...
research
∙
03/03/2022
Distributed Matrix-Vector Multiplication with Sparsity and Privacy Guarantees
We consider the problem of designing a coding scheme that allows both sp...
research
∙
02/28/2022
Computational Code-Based Privacy in Coded Federated Learning
We propose a privacy-preserving federated learning (FL) scheme that is r...
research
∙
02/03/2022
The Wiretap Channel for Capacitive PUF-Based Security Enclosures
In order to protect devices from physical manipulations, protective secu...
research
∙
12/04/2021
Analysis of Communication Channels Related to Physical Unclonable Functions
Cryptographic algorithms rely on the secrecy of their corresponding keys...
research
∙
08/12/2021
Secure Private and Adaptive Matrix Multiplication Beyond the Singleton Bound
Consider the problem of designing secure and private codes for distribut...
research
∙
01/14/2021
Adaptive Private Distributed Matrix Multiplication
We consider the problem of designing codes with flexible rate (referred ...
research
∙
04/27/2020