Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
Authors: Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang | Published: 2020-09-23
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Detection of Iterative Adversarial Attacks via Counter Attack
Authors: Matthias Rottmann, Kira Maag, Mathis Peyron, Natasa Krejic, Hanno Gottschalk | Published: 2020-09-23 | Updated: 2021-03-23
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
Authors: Swanand Kadhe, Nived Rajaraman, O. Ozan Koyluoglu, Kannan Ramchandran | Published: 2020-09-23
Semantics-Preserving Adversarial Training
Authors: Wonseok Lee, Hanbit Lee, Sang-goo Lee | Published: 2020-09-23
Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks
Authors: Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding | Published: 2020-09-22
Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers
Authors: Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding | Published: 2020-09-22
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version)
Authors: Gautam Raj Mode, Khaza Anuarul Hoque | Published: 2020-09-21 | Updated: 2020-09-28
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing
Authors: Maurice Weber, Nana Liu, Bo Li, Ce Zhang, Zhikuan Zhao | Published: 2020-09-21 | Updated: 2021-05-26
Feature Distillation With Guided Adversarial Contrastive Learning
Authors: Tao Bai, Jinnan Chen, Jun Zhao, Bihan Wen, Xudong Jiang, Alex Kot | Published: 2020-09-21
DeepDyve: Dynamic Verification for Deep Neural Networks
Authors: Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu | Published: 2020-09-21 | Updated: 2020-10-16