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20062025
most citedDifferentially Private Empirical Risk Minimization

542 citations · 1.1k across the 46 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.LG2022

Spectral Evolution and Invariance in Linear-width Neural Networks

Zhichao Wang, Andrew Engel, Anand Sarwate +2

We investigate the spectral properties of linear-width feed-forward neural networks, where the sample size is asymptotically proportional to network width. Empirically, we show tha…

eess.SY2022

Privacy Leakage in Discrete Time Updating Systems

Nitya Sathyavageeswaran, Roy D. Yates, Anand D. Sarwate +1

A source generates time-stamped update packets that are sent to a server and then forwarded to a monitor. This occurs in the presence of an adversary that can infer information abo…

cs.LG2022★ 1 cited

TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models

Andrew Engel, Zhichao Wang, Anand D. Sarwate +2

We introduce torchNTK, a python library to calculate the empirical neural tangent kernel (NTK) of neural network models in the PyTorch framework. We provide an efficient method to…

cs.IT2022

The Capacity of Causal Adversarial Channels

Yihan Zhang, Sidharth Jaggi, Michael Langberg +1

We characterize the capacity for the discrete-time arbitrarily varying channel with discrete inputs, outputs, and states when (a) the encoder and decoder do not share common random…

eess.IV2022

Low-Rank Phase Retrieval with Structured Tensor Models

Soo Min Kwon, Xin Li, Anand D. Sarwate

We study the low-rank phase retrieval problem, where the objective is to recover a sequence of signals (typically images) given the magnitude of linear measurements of those signal…