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09/16/2023
Private Variable-Length Coding with Sequential Encoder
A multi-user private data compression problem is studied. A server has a...
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09/16/2023
New Privacy Mechanism Design With Direct Access to the Private Data
The design of a statistical signal processing privacy problem is studied...
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08/07/2023
Off-the-grid Blind Deconvolution and Demixing
We consider the problem of gridless blind deconvolution and demixing (GB...
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06/25/2023
On Strong Secrecy for Multiple Access Channels with States and Causal CSI
Strong secrecy communication over a discrete memoryless state-dependent ...
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06/22/2023
Cache-Aided Private Variable-Length Coding with Zero and Non-Zero Leakage
A private cache-aided compression problem is studied, where a server has...
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06/21/2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime-validity
In this paper, we present new high-probability PAC-Bayes bounds for diff...
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05/10/2023
Secure Block Joint Source-Channel Coding with Sequential Encoding
We extend the results of Ghourchian et al. [IEEE JSAIT-2021], to joint s...
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05/02/2023
On Strong Secrecy for Multiple Access Channel with States and Causal CSI
Strong secrecy communication over a discrete memoryless state-dependent ...
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04/26/2023
Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards
In this work, we study the performance of the Thompson Sampling algorith...
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04/16/2023
Pointwise Maximal Leakage on General Alphabets
Pointwise maximal leakage (PML) is an operationally meaningful privacy m...
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03/14/2023
Inferential Privacy: From Impossibility to Database Privacy
We investigate the possibility of guaranteeing inferential privacy for m...
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12/27/2022
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
To date, no "information-theoretic" frameworks for reasoning about gener...
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12/23/2022
On the Privacy-Utility Trade-off With and Without Direct Access to the Private Data
We study an information theoretic privacy mechanism design problem for t...
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11/28/2022
Multi-User Privacy Mechanism Design with Non-zero Leakage
A privacy mechanism design problem is studied through the lens of inform...
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11/10/2022
Information-Energy Regions in the Finite Block-Length Regime with Finite Channel Inputs
This paper provides a complete characterization of the information-energ...
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09/16/2022
Beam Tracking for Dynamic mmWave Channels: A New Training Beam Sequence Design Approach
In this paper, we develop an efficient training beam sequence design app...
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07/18/2022
An Information-Theoretic Analysis of Bayesian Reinforcement Learning
Building on the framework introduced by Xu and Raginksy [1] for supervis...
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06/30/2022
Goodput Maximization with Quantized Feedback in the Finite Blocklength Regime for Quasi-Static Channels
In this paper, we study a quantized feedback scheme to maximize the good...
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05/10/2022
Pointwise Maximal Leakage
We introduce a privacy measure called pointwise maximal leakage, defined...
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05/10/2022
Bounds for Privacy-Utility Trade-off with Per-letter Privacy Constraints and Non-zero Leakage
An information theoretic privacy mechanism design problem for two scenar...
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02/07/2022
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning
Machine learning (ML) is a key technique for big-data-driven modelling a...
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02/06/2022
Continuous-Time Channel Gain Control for Minimum-Information Kalman-Bucy Filtering
We consider the problem of estimating a continuous-time Gauss-Markov sou...
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01/21/2022
Bounds for Privacy-Utility Trade-off with Non-zero Leakage
The design of privacy mechanisms for two scenarios is studied where the ...
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11/10/2021
Privacy signalling games with binary alphabets
In this paper, we consider a privacy signaling game problem for binary a...
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10/22/2021
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
To leverage massive distributed data and computation resources, machine ...
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09/17/2021
Generalized Talagrand Inequality for Sinkhorn Distance using Entropy Power Inequality
In this paper, we study the connection between entropic optimal transpor...
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09/03/2021
Secure Source Coding with Side-information at Decoder and Shared Key at Encoder and Decoder
We study the problem of rate-distortion-equivocation with side-informati...
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08/30/2021
Secure Block Source Coding with Sequential Encoding
We introduce fundamental bounds on achievable cumulative rate distributi...
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08/25/2021
Testing for directed information graphs
In this paper, we study a hypothesis test to determine the underlying di...
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07/15/2021
Data Disclosure with Non-zero Leakage and Non-invertible Leakage Matrix
We study a statistical signal processing privacy problem, where an agent...
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06/30/2021
Adaptive Stochastic ADMM for Decentralized Reinforcement Learning in Edge Industrial IoT
Edge computing provides a promising paradigm to support the implementati...
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05/16/2021
Adaptive Interference Coordination over Channels with Unknown State at the Encoder and the Decoder
We generalize the problem of controlling the interference created to an ...
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05/03/2021
Optimal Maximal Leakage-Distortion Tradeoff
Most methods for publishing data with privacy guarantees introduce rando...
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03/05/2021
A Learning-Based Approach to Address Complexity-Reliability Tradeoff in OS Decoders
In this paper, we study the tradeoffs between complexity and reliability...
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02/24/2021
A Multi-Objective Optimization Framework for URLLC with Decoding Complexity Constraints
Stringent constraints on both reliability and latency must be guaranteed...
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02/03/2021
Quadratic Signaling Games with Channel Combining Ratio
In this study, Nash and Stackelberg equilibria of single-stage and multi...
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01/22/2021
Tighter expected generalization error bounds via Wasserstein distance
In this work, we introduce several expected generalization error bounds ...
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01/18/2021
(ε, n) Fixed-Length Strong Coordination Capacity
This paper investigates the problem of synthesizing joint distributions ...
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10/22/2020
A ReLU Dense Layer to Improve the Performance of Neural Networks
We propose ReDense as a simple and low complexity way to improve the per...
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10/21/2020
On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm
In this work, we unify several expected generalization error bounds base...
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10/12/2020
Quantifying Membership Privacy via Information Leakage
Machine learning models are known to memorize the unique properties of i...
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10/02/2020
Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing
Big data, including applications with high security requirements, are of...
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09/29/2020
A Low Complexity Decentralized Neural Net with Centralized Equivalence using Layer-wise Learning
We design a low complexity decentralized learning algorithm to train a r...
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09/03/2020
A Design Framework for Epsilon-Private Data Disclosure
In this paper, we study a stochastic disclosure control problem using in...
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09/03/2020
Secure Strong Coordination
We consider a network of two nodes separated by a noisy channel, in whic...
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09/03/2020
Remote Joint Strong Coordination and Reliable Communication
We consider a three-node network, in which two agents wish to communicat...
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06/22/2020
Decentralized Beamforming Design for Intelligent Reflecting Surface-enhanced Cell-free Networks
Cell-free networks are considered as a promising distributed network arc...
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06/12/2020
On Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling
The estimation of mutual information (MI) or conditional mutual informat...
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06/11/2020
A Variational Approach to Privacy and Fairness
In this article, we propose a new variational approach to learn private ...
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06/01/2020