Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Optimization

no code implementations • 18 Jun 2021 • Luofeng Liao, Li Shen, Jia Duan, Mladen Kolar, DaCheng Tao

Large scale convex-concave minimax problems arise in numerous applications, including game theory, robust training, and training of generative adversarial networks.

Generative Adversarial Network Vocal Bursts Type Prediction

Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services

no code implementations • CVPR 2021 • 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.

Denoising

Detecting Adversarial Examples from Sensitivity Inconsistency of Spatial-Transform Domain

1 code implementation • 7 Mar 2021 • Jinyu Tian, Jiantao Zhou, Yuanman Li, Jia Duan

Deep neural networks (DNNs) have been shown to be vulnerable against adversarial examples (AEs), which are maliciously designed to cause dramatic model output errors.