6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Optimization
Luofeng Liao, Li Shen, Jia Duan +2
Large scale convex-concave minimax problems arise in numerous applications, including game theory, robust training, and training of generative adversarial networks. Despite their w…
cs.CR2021
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services
Jinyu Tian, Jiantao Zhou, Jia Duan
Model protection is vital when deploying Convolutional Neural Networks (CNNs) for commercial services, due to the massive costs of training them. In this work, we propose a selecti…
cs.LG2021★ 6 cited
Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain
Jinyu Tian, Jiantao Zhou, Yuanman Li +1
Deep neural networks (DNNs) have been shown to be vulnerable against adversarial examples (AEs), which are maliciously designed to cause dramatic model output errors. In this work,…