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03/14/2022
A Linearly Convergent Douglas-Rachford Splitting Solver for Markovian Information-Theoretic Optimization Problems
In this work, we propose solving the Information bottleneck (IB) and Pri...
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02/06/2022
On the Multi-View Information Bottleneck Representation
In this work, we generalize the information bottleneck (IB) approach to ...
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10/22/2021
CD S Dataset: Handheld Imagery Dataset Acquired Under Field Conditions for Corn Disease Identification and Severity Estimation
Accurate disease identification and its severity estimation is an import...
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05/04/2021
Towards End-to-End Deep Learning for Autonomous Racing: On Data Collection and a Unified Architecture for Steering and Throttle Prediction
Deep Neural Networks (DNNs) which are trained end-to-end have been succe...
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04/03/2021
Mitigating Gradient-based Adversarial Attacks via Denoising and Compression
Gradient-based adversarial attacks on deep neural networks pose a seriou...
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04/03/2021
Gradient-based Adversarial Deep Modulation Classification with Data-driven Subsampling
Automatic modulation classification can be a core component for intellig...
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04/03/2021
Knowledge Distillation For Wireless Edge Learning
In this paper, we propose a framework for predicting frame errors in the...
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02/09/2021
A Provably Convergent Information Bottleneck Solution via ADMM
The Information bottleneck (IB) method enables optimizing over the trade...
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12/29/2020
A Number Theoretic Approach for Fast Discovery of Single-Hop Wireless Networks
Interference management has become a key factor in regulating transmissi...
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12/02/2020
Data-driven Analysis of Turbulent Flame Images
Turbulent premixed flames are important for power generation using gas t...
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07/27/2020
Deep Learning for Direction of Arrival Estimation via Emulation of Large Antenna Arrays
We present a MUSIC-based Direction of Arrival (DOA) estimation strategy ...
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05/10/2020
Ensemble Wrapper Subsampling for Deep Modulation Classification
Subsampling of received wireless signals is important for relaxing hardw...
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02/22/2020
Non-Intrusive Detection of Adversarial Deep Learning Attacks via Observer Networks
Recent studies have shown that deep learning models are vulnerable to sp...
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01/26/2020
Ensemble Noise Simulation to Handle Uncertainty about Gradient-based Adversarial Attacks
Gradient-based adversarial attacks on neural networks can be crafted in ...
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12/26/2019
Efficient Training of Deep Classifiers for Wireless Source Identification using Test SNR Estimates
We investigate the potential of training time reduction for deep learnin...
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12/25/2019
Grand Challenges of Resilience: Autonomous System Resilience through Design and Runtime Measures
A set of about 80 researchers, practitioners, and federal agency program...
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12/13/2019
Optimal Wireless Caching with Placement Cost
Coded caching has been shown to result in significant throughput gains, ...
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06/13/2019
A Computationally Efficient Method for Defending Adversarial Deep Learning Attacks
The reliance on deep learning algorithms has grown significantly in rece...
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05/28/2019
Efficient Wrapper Feature Selection using Autoencoder and Model Based Elimination
We propose a computationally efficient wrapper feature selection method ...
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05/16/2019
Deep Learning for Interference Identification: Band, Training SNR, and Sample Selection
We study the problem of interference source identification, through the ...
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03/15/2019
Wyner's Network on Caches: Combining Receiver Caching with a Flexible Backhaul
In this work, we study a large linear interference network with an equal...
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02/12/2019
Towards Jointly Optimal Placement and Delivery: To Code or Not to Code in Wireless Caching Networks
Coded caching techniques have received significant attention lately due ...
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01/16/2019
Fast Deep Learning for Automatic Modulation Classification
In this work, we investigate the feasibility and effectiveness of employ...
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12/07/2018
Combatting Adversarial Attacks through Denoising and Dimensionality Reduction: A Cascaded Autoencoder Approach
Machine Learning models are vulnerable to adversarial attacks that rely ...
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11/29/2018
Joint Uplink-Downlink Cooperative Interference Management with Flexible Cell Associations
We study information theoretic models of interference networks that cons...
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08/04/2018
A Blockchain Example for Cooperative Interference Management
We present an example where a distributed coordinated protocol supported...
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07/14/2018
Fundamental Limits of Dynamic Interference Management with Flexible Message Assignments
The problem of interference management is considered in the context of a...
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12/01/2017
