5 citations · 11 across the 10 of their papers we have counts for
10 papers
Information-Theoretic Decentralized Secure Aggregation with User Dropouts
Zhou Li, Xiang Zhang, Yizhou Zhao +2
This paper investigates the fundamental limits of information-theoretic decentralized secure aggregation (DSA) with user dropouts. We consider a fully decentralized network where $…
On the Fundamental Limits of Hierarchical Secure Aggregation with Dropout and Collusion Resilience
Zhou Li, Yizhou Zhao, Xiang Zhang +1
We study the fundamental communication limits of information-theoretic secure aggregation in a hierarchical network consisting of a server, multiple relays, and multiple users per…
The Capacity of Collusion-Resilient Decentralized Secure Aggregation with Groupwise Keys
Zhou Li, Xiang Zhang, Yizhou Zhao +3
This paper investigates the information-theoretic decentralized secure aggregation (DSA) problem under practical groupwise secret keys and collusion resilience. In DSA, users a…
Robust Spectral Watermark for Synthetic Tabular Data
Yizhou Zhao, Xiang Li, Peter Song +2
The rise of generative AI has enabled the production of high-fidelity synthetic tabular data across fields such as healthcare, finance, and public policy, raising growing concerns…
Coding-Enforced Robust Secure Aggregation for Federated Learning Under Unreliable Communication
Shudi Weng, Chao Ren, Yizhou Zhao +2
This work studies privacy-preserving federated learning (ppFL) under unreliable communication. In ppFL, zero-sum privacy noises enables privacy protection without sacrificing model…
Weakly Secure Summation with Colluding Users
Zhou Li, Yizhou Zhao, Hua Sun
In secure summation, users, each holds an input, wish to compute the sum of the inputs at a server without revealing any information about {\em all the inputs} even if the serv…
MDS Variable Generation and Secure Summation with User Selection
Yizhou Zhao, Hua Sun
A collection of random variables are called -MDS if any of the variables are independent and determine all remaining variables. In the MDS variable generation pr…
Secure Summation: Capacity Region, Groupwise Key, and Feasibility
Yizhou Zhao, Hua Sun
The secure summation problem is considered, where users, each holds an input, wish to compute the sum of their inputs at a server securely, i.e., without revealing any informat…
Information Theoretic Secure Aggregation with User Dropouts
Yizhou Zhao, Hua Sun
In the robust secure aggregation problem, a server wishes to learn and only learn the sum of the inputs of a number of users while some users may drop out (i.e., may not respond).…
Expand-and-Randomize: An Algebraic Approach to Secure Computation
Yizhou Zhao, Hua Sun
We consider the secure computation problem in a minimal model, where Alice and Bob each holds an input and wish to securely compute a function of their inputs at Carol without reve…