Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks
Authors: Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias | Published: 2020-09-30
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks
Authors: Guangmo Tong | Published: 2020-09-29
SoK: On the Security Challenges and Risks of Multi-Tenant FPGAs in the Cloud
Authors: Shaza Zeitouni, Ghada Dessouky, Ahmad-Reza Sadeghi | Published: 2020-09-29 | Updated: 2020-10-05
Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations
Authors: Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu | Published: 2020-09-29 | Updated: 2022-08-17
Information Obfuscation of Graph Neural Networks
Authors: Peiyuan Liao, Han Zhao, Keyulu Xu, Tommi Jaakkola, Geoffrey Gordon, Stefanie Jegelka, Ruslan Salakhutdinov | Published: 2020-09-28 | Updated: 2021-06-13
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
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