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
Adversarial Training with Stochastic Weight Average
Authors: Joong-Won Hwang, Youngwan Lee, Sungchan Oh, Yuseok Bae | Published: 2020-09-21
Adversarial Concept Drift Detection under Poisoning Attacks for Robust Data Stream Mining
Authors: Łukasz Korycki, Bartosz Krawczyk | Published: 2020-09-20
Phishing Detection Using Machine Learning Techniques
Authors: Vahid Shahrivari, Mohammad Mahdi Darabi, Mohammad Izadi | Published: 2020-09-20