4 citations · 8 across the 4 of their papers we have counts for
4 papers
Learning for Robust Combinatorial Optimization: Algorithm and Application
Zhihui Shao, Jianyi Yang, Cong Shen +1
Learning to optimize (L2O) has recently emerged as a promising approach to solving optimization problems by exploiting the strong prediction power of neural networks and offering l…
Increasing Trustworthiness of Deep Neural Networks via Accuracy Monitoring
Zhihui Shao, Jianyi Yang, Shaolei Ren
Inference accuracy of deep neural networks (DNNs) is a crucial performance metric, but can vary greatly in practice subject to actual test datasets and is typically unknown due to…
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets
Zhihui Shao, Jianyi Yang, Shaolei Ren
To increase the trustworthiness of deep neural network (DNN) classifiers, an accurate prediction confidence that represents the true likelihood of correctness is crucial. Towards t…
Your Noise, My Signal: Exploiting Switching Noise for Stealthy Data Exfiltration from Desktop Computers
Zhihui Shao, Mohammad A. Islam, Shaolei Ren
Attacks based on power analysis have been long existing and studied, with some recent works focused on data exfiltration from victim systems without using conventional communicatio…