Anand D. Sarwate

Trans. Mach. Learn. Res., 2023

Approximating Functions with Approximate Privacy for Applications in Signal Estimation and Learning.

[BibT_eX]

[DOI]

Entropy, 2023

Robust Nonparametric Hypothesis Testing to Understand Variability in Training Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2023

Minibatching Offers Improved Generalization Performance for Second Order Optimizers.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Explanations for Deep Neural Networks via Pseudo Neural Tangent Kernel Surrogate Models.

[BibT_eX]

[DOI]

CoRR, 2023

Spectral Evolution and Invariance in Linear-width Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Computationally Efficient Codes for Adversarial Binary-Erasure Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2023

2022

Network Traffic Shaping for Enhancing Privacy in IoT Systems.

[BibT_eX]

[DOI]

Sijie Xiong

IEEE/ACM Trans. Netw., 2022

Quadratically Constrained Myopic Adversarial Channels.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2022

Federated Analysis of Neuroimaging Data: A Review of the Field.

[BibT_eX]

[DOI]

Neuroinformatics, 2022

Decentralized Brain Age Estimation Using MRI Data.

[BibT_eX]

[DOI]

Neuroinformatics, 2022

Privacy Leakage in Discrete Time Updating Systems.

[BibT_eX]

[DOI]

Nitya Sathyavageesran

Roy D. Yates

CoRR, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Privid: Practical, Privacy-Preserving Video Analytics Queries.

[BibT_eX]

[DOI]

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

The Capacity of Causal Adversarial Channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2022

Privacy Leakage in Discrete-Time Updating Systems.

[BibT_eX]

[DOI]

Nitya Sathyavageeswaran

Roy D. Yates

Proceedings of the IEEE International Symposium on Information Theory, 2022

Low-Rank Phase Retrieval with Structured Tensor Models.

[BibT_eX]

[DOI]

Soo Min Kwon

Xin Li

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A Correlated Noise-Assisted Decentralized Differentially Private Estimation Protocol, and its Application to fMRI Source Separation.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2021

Coordination Through Shared Randomness.

[BibT_eX]

[DOI]

Gowtham R. Kurri

Vinod M. Prabhakaran

IEEE Trans. Inf. Theory, 2021

Decentralized Multisite VBM Analysis During Adolescence Shows Structural Changes Linked to Age, Body Mass Index, and Smoking: a COINSTAC Analysis.

[BibT_eX]

[DOI]

Neuroinformatics, 2021

Quantile Multi-Armed Bandits: Optimal Best-Arm Identification and a Differentially Private Scheme.

[BibT_eX]

[DOI]

Or Sheffet

IEEE J. Sel. Areas Inf. Theory, 2021

Predictive Learning on Hidden Tree-Structured Ising Models.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2021

Influencers and the Giant Component: The Fundamental Hardness in Privacy Protection for Socially Contagious Attributes.

[BibT_eX]

[DOI]

Aria Rezaei

Jie Gao

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

A Minimax Lower Bound for Low-Rank Matrix-Variate Logistic Regression.

[BibT_eX]

[DOI]

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Learning Mixtures of Separable Dictionaries for Tensor Data: Analysis and Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2020

Understanding Privacy-Utility Tradeoffs in Differentially Private Online Active Learning.

[BibT_eX]

[DOI]

J. Priv. Confidentiality, 2020

COINSTAC: Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymous Computation.

[BibT_eX]

[DOI]

J. Open Source Softw., 2020

Best-Arm Identification for Quantile Bandits with Privacy.

[BibT_eX]

[DOI]

Or Sheffet

CoRR, 2020

Symmetrizability for Myopic AVCs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

High Dimensional Inference With Random Maximum A-Posteriori Perturbations.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2019

Decentralized temporal independent component analysis: Leveraging fMRI data in collaborative settings.

[BibT_eX]

[DOI]

NeuroImage, 2019

Improved Differentially Private Decentralized Source Separation for fMRI Data.

[BibT_eX]

[DOI]

CoRR, 2019

Non-Parametric Structure Learning on Hidden Tree-Shaped Distributions.

[BibT_eX]

[DOI]

CoRR, 2019

Distributed Differentially Private Computation of Functions with Correlated Noise.

[BibT_eX]

[DOI]

Jafar Mohammadi

CoRR, 2019

Sample Complexity Bounds for Low-Separation-Rank Dictionary Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

The Interplay of Causality and Myopia in Adversarial Channel Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

Distributed Differentially-private Canonical Correlation Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Learning Tree Structures from Noisy Data.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Minimax Lower Bounds on Dictionary Learning for Tensor Data.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

Social Learning and Distributed Hypothesis Testing.

[BibT_eX]

[DOI]

Anusha Lalitha

IEEE Trans. Inf. Theory, 2018

Robust Privacy-Utility Tradeoffs Under Differential Privacy and Hamming Distortion.

[BibT_eX]

[DOI]

Kousha Kalantari

IEEE Trans. Inf. Forensics Secur., 2018

Identifiability of Kronecker-Structured Dictionaries for Tensor Data.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2018

Distributed Differentially Private Algorithms for Matrix and Tensor Factorization.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2018

Predictive Learning on Sign-Valued Hidden Markov Trees.

[BibT_eX]

[DOI]

CoRR, 2018

Quadratically Constrained Channels with Causal Adversaries.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Coordination Using Individually Shared Randomness.

[BibT_eX]

[DOI]

Gowtham R. Kurri

Vinod M. Prabhakaran

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Defending Against Packet-Size Side-Channel Attacks in Iot Networks.

[BibT_eX]

[DOI]

Sijie Xiong

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Differentially Private Distributed Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Improved Algorithms for Differentially Private Orthogonal Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Global Optimality in Inductive Matrix Completion.

[BibT_eX]

[DOI]

Mohsen Ghassemi

Naveen Goela

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Using Noisy Binary Search for Differentially Private Anomaly Detection.

[BibT_eX]

[DOI]

Daniel M. Bittner

Rebecca N. Wright

Proceedings of the Cyber Security Cryptography and Machine Learning, 2018

2017

Data-Dependent Convergence for Consensus Stochastic Optimization.

[BibT_eX]

[DOI]

Avleen Singh Bijral

Nathan Srebro

IEEE Trans. Autom. Control., 2017

COINSTAC: Decentralizing the future of brain imaging analysis.

[BibT_eX]

[DOI]

F1000Research, 2017

Decentralized independent vector analysis.

[BibT_eX]

[DOI]

Nikolas P. Wojtalewicz

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sample complexity bounds for dictionary learning of tensor data.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Differentially-private canonical correlation analysis.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

A Unified Optimization Approach for Sparse Tensor Operations on GPUs.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

Differentially Private Noisy Search with Applications to Anomaly Detection (Abstract).

[BibT_eX]

[DOI]

Daniel M. Bittner

Rebecca N. Wright

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security, 2017

Identification of kronecker-structured dictionaries: An asymptotic analysis.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

STARK: Structured dictionary learning through rank-one tensor recovery.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016

The Optimal Differential Privacy Mechanism under Hamming Distortion for Universal Memoryless Source Classes.

[BibT_eX]

[DOI]

Kousha Kalantari

CoRR, 2016

The benefit of a 1-bit jump-start, and the necessity of stochastic encoding, in jamming channels.

[BibT_eX]

[DOI]

CoRR, 2016

Minimax lower bounds for Kronecker-structured dictionary learning.

[BibT_eX]

[DOI]

Waheed Uz Zaman Bajwa

Proceedings of the IEEE International Symposium on Information Theory, 2016

Optimal differential privacy mechanisms under Hamming distortion for structured source classes.

[BibT_eX]

[DOI]

Kousha Kalantari

Proceedings of the IEEE International Symposium on Information Theory, 2016

A bit of delay is sufficient and stochastic encoding is necessary to overcome online adversarial erasures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2016

Randomized requantization with local differential privacy.

[BibT_eX]

[DOI]

Sijie Xiong

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Data-weighted ensemble learning for privacy-preserving distributed learning.

[BibT_eX]

[DOI]

Liyang Xie

Sergey M. Plis

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Symmetric matrix perturbation for differentially-private principal component analysis.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Analysis of a privacy-preserving PCA algorithm using random matrix theory.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Privacy-preserving source separation for distributed data using independent component analysis.

[BibT_eX]

[DOI]

Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

Differentially Private Online Active Learning with Applications to Anomaly Detection.

[BibT_eX]

[DOI]

Mohsen Ghassemi

Rebecca N. Wright

Proceedings of the 2016 ACM Workshop on Artificial Intelligence and Security, 2016

Data-dependent bounds on network gradient descent.

[BibT_eX]

[DOI]

Avleen Singh Bijral

Nathan Srebro

Proceedings of the 54th Annual Allerton Conference on Communication, 2016

2015

Distributed Learning of Distributions via Social Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Autom. Control., 2015

Designing Incentive Schemes for Privacy-Sensitive Users.

[BibT_eX]

[DOI]

Chong Huang

J. Priv. Confidentiality, 2015

Large scale collaboration with autonomy: Decentralized data ICA.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Incentive Schemes for Privacy-Sensitive Consumers.

[BibT_eX]

[DOI]

Chong Huang

Proceedings of the Decision and Game Theory for Security - 6th International Conference, 2015

Distributed proportional stochastic coordinate descent with social sampling.

[BibT_eX]

[DOI]

Mohsen Ghassemi

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

Learning from Data with Heterogeneous Noise using SGD.

[BibT_eX]

[DOI]

Shuang Song

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Generalized opinion dynamics from local optimization rules.

[BibT_eX]

[DOI]

Avhishek Chatterjee

Sriram Vishwanath

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation.

[BibT_eX]

[DOI]

Sergey M. Plis

Jessica A. Turner

Mohammad Arbabshirani

Vince D. Calhoun

Frontiers Neuroinformatics, 2014

Redundancy of Exchangeable Estimators.

[BibT_eX]

[DOI]

Narayana P. Santhanam

Jae Oh Woo

Entropy, 2014

Tradeoffs for task parallelization in distributed optimization.

[BibT_eX]

[DOI]

Konstantinos I. Tsianos

Michael G. Rabbat

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

On Measure Concentration of Random Maximum A-Posteriori Perturbations.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

A rate-disortion perspective on local differential privacy.

[BibT_eX]

[DOI]

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2013

Upper Bounds on the Capacity of Binary Channels With Causal Adversaries.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2013

Signal Processing and Machine Learning with Differential Privacy: Algorithms and Challenges for Continuous Data.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2013

A near-optimal algorithm for differentially-private principal components.

[BibT_eX]

[DOI]

Kaushik Sinha

J. Mach. Learn. Res., 2013

Auditing: Active Learning with Outcome-Dependent Query Costs.

[BibT_eX]

[DOI]

Sivan Sabato

Nati Srebro

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Assisted sampling of correlated sources.

[BibT_eX]

[DOI]

Vinod M. Prabhakaran

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Stochastic gradient descent with differentially private updates.

[BibT_eX]

[DOI]

Shuang Song

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

List-Decoding for the Arbitrarily Varying Channel Under State Constraints.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

The Impact of Mobility on Gossip Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

Protecting count queries in study design.

[BibT_eX]

[DOI]

Staal Amund Vinterbo

Aziz A. Boxwala

J. Am. Medical Informatics Assoc., 2012

Relaxing the Gaussian AVC

[BibT_eX]

[DOI]

CoRR, 2012

Near-Optimal Algorithms for Differentially-Private Principal Components

[BibT_eX]

[DOI]

Kaushik Sinha

CoRR, 2012

Near-optimal Differentially Private Principal Components.

[BibT_eX]

[DOI]

Kaushik Sinha

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Improved upper bounds on the capacity of binary channels with causal adversaries.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Distributed learning from social sampling.

[BibT_eX]

[DOI]

Proceedings of the 46th Annual Conference on Information Sciences and Systems, 2012

Merging opinions by social sampling of posteriors.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011

Differentially Private Empirical Risk Minimization.

[BibT_eX]

[DOI]

Claire Monteleoni

J. Mach. Learn. Res., 2011

Opinion dynamics and distributed learning of distributions.

[BibT_eX]

[DOI]

Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010

Rateless codes for AVC models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

Zero-rate feedback can achieve the empirical capacity.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2010

A little feedback can simplify sensor network cooperation.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2010

Single-Ballot Risk-Limiting Audits Using Convex Optimization.

[BibT_eX]

[DOI]

Stephen Checkoway

Proceedings of the 2010 Electronic Voting Technology Workshop / Workshop on Trustworthy Elections, 2010

Coding against myopic adversaries.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE Information Theory Workshop, 2010

Coding against delayed adversaries.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2010

Linear strategies for the Gaussian MAC with user cooperation.

[BibT_eX]

[DOI]

Michèle A. Wigger

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Redundancy of exchangeable estimators.

[BibT_eX]

[DOI]

Narayana P. Santhanam

Mokshay M. Madiman

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Broadcast gossip algorithms for consensus.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2009

Differentially Private Support Vector Machines

[BibT_eX]

[DOI]

Claire Monteleoni

CoRR, 2009

Some observations on limited feedback for multiaccess channels.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2009

Reaching consensus in wireless networks with probabilistic broadcast.

[BibT_eX]

[DOI]

Tuncer C. Aysal

Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008

Geographic Gossip: Efficient Averaging for Sensor Networks.

[BibT_eX]

[DOI]

Martin J. Wainwright

IEEE Trans. Signal Process., 2008

Arbitrarily dirty paper coding and applications.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Adversarial interference models for multiantenna cooperative systems.

[BibT_eX]

[DOI]

Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Broadcast gossip algorithms: Design and analysis for consensus.

[BibT_eX]

[DOI]

Proceedings of the 47th IEEE Conference on Decision and Control, 2008

2007

Deterministic list codes for state-constrained arbitrarily varying channels

[BibT_eX]

[DOI]

CoRR, 2007

Rateless coding with partial state information at the decoder

[BibT_eX]

[DOI]

CoRR, 2007

Limited feedback achieves the empirical capacity

[BibT_eX]

[DOI]

CoRR, 2007

Channels with nosy "noise".

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2007

Using zero-rate feedback on binary additive channels with individual noise sequences.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2007

2006

Exact emulation of a priority queue with a switch and delay lines.

[BibT_eX]

[DOI]

Venkat Anantharam

Queueing Syst. Theory Appl., 2006

Randomization bounds on Gaussian arbitrarily varying channels.

[BibT_eX]

[DOI]

Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Geographic gossip: efficient aggregation for sensor networks.

[BibT_eX]

[DOI]

Martin J. Wainwright

Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

2005

Fading observation alignment via feedback.

[BibT_eX]

[DOI]