2 citations · 2 across the 4 of their papers we have counts for
4 papers
Repair Brain Damage: Real-Numbered Error Correction Code for Neural Network
Ziqing Lu, Ziqing Li, Myung Cho +2
We study neural networks (NNs) operating under hardware-induced memory faults and computational errors, which can degrade reliability in safety-critical applications. To address th…
Feature compression is the root cause of adversarial fragility in neural network classifiers
Jingchao Gao, Ziqing Lu, Raghu Mudumbai +6
In this paper, we uniquely study the adversarial robustness of deep neural networks (NN) for classification tasks against that of optimal classifiers. We look at the smallest magni…
Compressed Hypothesis Testing: To Mix or Not to Mix?
Myung Cho, Weiyu Xu, Lifeng Lai
In this paper, we study the problem of determining anomalous random variables that have different probability distributions from the rest random variables. Instead of s…
Compressed Hypothesis Testing: to Mix or Not to Mix?
Weiyu Xu, Lifeng Lai
In this paper, we study the hypothesis testing problem of, among random variables, determining random variables which have different probability distributions from the rest…