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09/06/2023
Geometry of Sensitivity: Twice Sampling and Hybrid Clipping in Differential Privacy with Optimal Gaussian Noise and Application to Deep Learning
We study the fundamental problem of the construction of optimal randomiz...
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10/07/2022
Differentially Private Deep Learning with ModelMix
Training large neural networks with meaningful/usable differential priva...
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10/07/2022
PAC Security: Automatic Privacy Measurement and Control of Data Processing
We propose and study a new privacy definition, termed Probably Approxima...
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08/23/2021
On the Foundation of Sparse Sensing (Part II): Diophantine Sampling and Array Configuration
In the second part of the series papers, we set out to study the algorit...
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08/23/2021
On the Foundation of Sparse Sensing (Part I): Necessary and Sufficient Sampling Theory and Robust Remaindering Problem
In the first part of the series papers, we set out to answer the followi...
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07/23/2021
High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data
As one of the most fundamental problems in machine learning, statistics ...
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10/21/2020
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
In this paper, we consider the problem of designing Differentially Priva...
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04/07/2019
From Co-prime to the Diophantine Equation Based Sparse Sensing in Complex Waveforms
For frequency estimation, the co-prime sampling tells that in time domai...
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02/16/2019
On Privacy-preserving Decentralized Optimization through Alternating Direction Method of Multipliers
Privacy concerns with sensitive data in machine learning are receiving i...
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11/28/2018
Statistical Robust Chinese Remainder Theorem for Multiple Numbers: Wrapped Gaussian Mixture Model
Generalized Chinese Remainder Theorem (CRT) has been shown to be a power...
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06/29/2018