Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability
Authors: Ishai Rosenberg, Shai Meir, Jonathan Berrebi, Ilay Gordon, Guillaume Sicard, Eli David | Published: 2020-09-28 | Updated: 2022-06-01
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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
A Robust graph attention network with dynamic adjusted Graph
Authors: Xianchen Zhou, Yaoyun Zeng, Hongxia Wang | Published: 2020-09-28 | Updated: 2022-08-04
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence
Authors: Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi | Published: 2020-09-28 | Updated: 2020-10-08
Beneficial Perturbations Network for Defending Adversarial Examples
Authors: Shixian Wen, Amanda Rios, Laurent Itti | Published: 2020-09-27 | Updated: 2021-09-13
Differentially Private Adversarial Robustness Through Randomized Perturbations
Authors: Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier | Published: 2020-09-27
Federated Transfer Learning: concept and applications
Authors: Sudipan Saha, Tahir Ahmad | Published: 2020-09-26 | Updated: 2021-03-06
A Systematic Review on Model Watermarking for Neural Networks
Authors: Franziska Boenisch | Published: 2020-09-25 | Updated: 2021-12-08
Adversarial Examples in Deep Learning for Multivariate Time Series Regression
Authors: Gautam Raj Mode, Khaza Anuarul Hoque | Published: 2020-09-24
Improving Query Efficiency of Black-box Adversarial Attack
Authors: Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo | Published: 2020-09-24 | Updated: 2020-09-25