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11/23/2022
Mutual Information Learned Regressor: an Information-theoretic Viewpoint of Training Regression Systems
As one of the central tasks in machine learning, regression finds lots o...
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09/21/2022
Mutual Information Learned Classifiers: an Information-theoretic Viewpoint of Training Deep Learning Classification Systems
Deep learning systems have been reported to achieve state-of-the-art per...
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04/02/2021
Solving Large Scale Quadratic Constrained Basis Pursuit
Inspired by alternating direction method of multipliers and the idea of ...
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08/05/2020
Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints
In this paper, we consider the problem of designing optimal pooling matr...
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07/29/2020
Error Correction Codes for COVID-19 Virus and Antibody Testing: Using Pooled Testing to Increase Test Reliability
We consider a novel method to increase the reliability of COVID-19 virus...
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07/28/2020
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning
We consider the theoretical problem of designing an optimal adversarial ...
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04/13/2020
Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments
Coronavirus disease 2019 (COVID-19) is an ongoing pandemic infectious di...
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03/26/2020
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks
Recent works have demonstrated the existence of adversarial examples ta...
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05/25/2019
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks
Deep-learning based classification algorithms have been shown to be susc...
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01/27/2019
An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers
We present a simple hypothesis about a compression property of artificia...
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10/26/2018
Outlier Detection using Generative Models with Theoretical Performance Guarantees
This paper considers the problem of recovering signals from compressed m...
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02/14/2018
