Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation
Authors: Alexander Levine, Soheil Feizi | Published: 2019-11-21
Fine-grained Synthesis of Unrestricted Adversarial Examples
Authors: Omid Poursaeed, Tianxing Jiang, Yordanos Goshu, Harry Yang, Serge Belongie, Ser-Nam Lim | Published: 2019-11-20 | Updated: 2020-10-22
Deep Minimax Probability Machine
Authors: Lirong He, Ziyi Guo, Kaizhu Huang, Zenglin Xu | Published: 2019-11-20
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
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