Anand D. Sarwate

Subodh Bhagyalakshmi Nanjayya

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023

Federated Analysis in COINSTAC Reveals Functional Network Connectivity and Spectral Links to Smoking and Alcohol Consumption in Nearly 2,000 Adolescent Brains.

[BibT_eX]

[DOI]

Rajkumar Lenin Singh

Roshan Lourembam Singh

Dimitri Papadopoulos-Orfanos

Marie-Laure Paillère-Martinot

Neuroinformatics, April, 2023

Differential Fairness: An Intersectional Framework for Fair AI.

[BibT_eX]

[DOI]

Entropy, April, 2023

Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility.

[BibT_eX]

[DOI]

Henry Jeremy Bockholt

Jessica A. Turner

Nathalia Bianchini Esper

Alexandre R. Franco

Sergey M. Plis

Vince D. Calhoun

Frontiers Neuroinformatics, March, 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

Structured Low-Rank Tensors for Generalized Linear Models.

[BibT_eX]

[DOI]

Batoul Taki

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

Privid: Practical, Privacy-Preserving Video Analytics Queries.

[BibT_eX]

[DOI]

CoRR, 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]