88 citations · 605 across the 80 of their papers we have counts for
5 papers · 1 filter
Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints
Jirong Yi, Myung Cho, Xiaodong Wu +2
In this paper, we consider the problem of designing optimal pooling matrix for group testing (for example, for COVID-19 virus testing) with the constraint that no more than s…
Error Correction Codes for COVID-19 Virus and Antibody Testing: Using Pooled Testing to Increase Test Reliability
Jirong Yi, Myung Cho, Xiaodong Wu +2
We consider a novel method to increase the reliability of COVID-19 virus or antibody tests by using specially designed pooled testings. Instead of testing nasal swab or blood sampl…
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning
Jirong Yi, Raghu Mudumbai, Weiyu Xu
We consider the theoretical problem of designing an optimal adversarial attack on a decision system that maximally degrades the achievable performance of the system as measured by…
Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments
Jirong Yi, Raghu Mudumbai, Weiyu Xu
Coronavirus disease 2019 (COVID-19) is an ongoing pandemic infectious disease outbreak that has significantly harmed and threatened the health and lives of millions or even billion…
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks
Zain Khan, Jirong Yi, Raghu Mudumbai +2
Recent works have demonstrated the existence of {\it adversarial examples} targeting a single machine learning system. In this paper we ask a simple but fundamental question of "se…