Deep learning for time series classification
Authors: Hassan Ismail Fawaz | Published: 2020-10-01
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Bag of Tricks for Adversarial Training
Authors: Tianyu Pang, Xiao Yang, Yinpeng Dong, Hang Su, Jun Zhu | Published: 2020-10-01 | Updated: 2021-03-31
Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning
Authors: Guneet S. Dhillon, Nicholas Carlini | Published: 2020-09-30
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles
Authors: Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li | Published: 2020-09-30 | Updated: 2020-10-18
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