Adversarial Robustness of Stabilized NeuralODEs Might be from Obfuscated Gradients
Authors: Yifei Huang, Yaodong Yu, Hongyang Zhang, Yi Ma, Yuan Yao | Published: 2020-09-28 | Updated: 2021-06-02
Deep Learning
Beneficial Perturbations Network for Defending Adversarial Examples
Authors: Shixian Wen, Amanda Rios, Laurent Itti | Published: 2020-09-27 | Updated: 2021-09-13
Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning
Authors: Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang | Published: 2020-08-25
Multiple Classification with Split Learning
Authors: Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee | Published: 2020-08-22 | Updated: 2020-09-11
NoPeek: Information leakage reduction to share activations in distributed deep learning
Authors: Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar | Published: 2020-08-20
Towards adversarial robustness with 01 loss neural networks
Authors: Yunzhe Xue, Meiyan Xie, Usman Roshan | Published: 2020-08-20
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations
Authors: Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu | Published: 2020-08-19 | Updated: 2021-08-20
Adversarial Attacks with Multiple Antennas Against Deep Learning-Based Modulation Classifiers
Authors: Brian Kim, Yalin E. Sagduyu, Tugba Erpek, Kemal Davaslioglu, Sennur Ulukus | Published: 2020-07-31
Black-box Adversarial Sample Generation Based on Differential Evolution
Authors: Junyu Lin, Lei Xu, Yingqi Liu, Xiangyu Zhang | Published: 2020-07-30
DeepPeep: Exploiting Design Ramifications to Decipher the Architecture of Compact DNNs
Authors: Nandan Kumar Jha, Sparsh Mittal, Binod Kumar, Govardhan Mattela | Published: 2020-07-30