Cognitive Internet of Vehicles: Motivation, Layered Architecture and Security Issues
Authors: Khondokar Fida Hasan, Tarandeep Kaur, Md. Mhedi Hasan, Yanming Feng | Published: 2019-11-20
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Adversarial Robustness of Flow-Based Generative Models
Authors: Phillip Pope, Yogesh Balaji, Soheil Feizi | Published: 2019-11-20
Generate (non-software) Bugs to Fool Classifiers
Authors: Hiromu Yakura, Youhei Akimoto, Jun Sakuma | Published: 2019-11-20
Sieving Fake News From Genuine: A Synopsis
Authors: Shahid Alam, Abdulaziz Ravshanbekov | Published: 2019-11-19
Towards non-toxic landscapes: Automatic toxic comment detection using DNN
Authors: Ashwin Geet D'Sa, Irina Illina, Dominique Fohr | Published: 2019-11-19 | Updated: 2020-09-16
Deep Detector Health Management under Adversarial Campaigns
Authors: Javier Echauz, Keith Kenemer, Sarfaraz Hussein, Jay Dhaliwal, Saurabh Shintre, Slawomir Grzonkowski, Andrew Gardner | Published: 2019-11-19
Attack on Grid Event Cause Analysis: An Adversarial Machine Learning Approach
Authors: Iman Niazazari, Hanif Livani | Published: 2019-11-19 | Updated: 2019-11-25
WITCHcraft: Efficient PGD attacks with random step size
Authors: Ping-Yeh Chiang, Jonas Geiping, Micah Goldblum, Tom Goldstein, Renkun Ni, Steven Reich, Ali Shafahi | Published: 2019-11-18
Revealing Perceptible Backdoors, without the Training Set, via the Maximum Achievable Misclassification Fraction Statistic
Authors: Zhen Xiang, David J. Miller, Hang Wang, George Kesidis | Published: 2019-11-18 | Updated: 2020-04-06
Can You Really Backdoor Federated Learning?
Authors: Ziteng Sun, Peter Kairouz, Ananda Theertha Suresh, H. Brendan McMahan | Published: 2019-11-18 | Updated: 2019-12-02