KiloGrams: Very Large N-Grams for Malware Classification
Authors: Edward Raff, William Fleming, Richard Zak, Hyrum Anderson, Bill Finlayson, Charles Nicholas, Mark McLean | Published: 2019-08-01
Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT
Authors: Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam | Published: 2019-08-01 | Updated: 2020-07-04
Optimal Attacks on Reinforcement Learning Policies
Authors: Alessio Russo, Alexandre Proutiere | Published: 2019-07-31
Time Series Analysis of Big Data for Electricity Price and Demand to Find Cyber-Attacks part 2: Decomposition Analysis
Authors: Mohsen Rakhshandehroo, Mohammad Rajabdorri | Published: 2019-07-30
Privacy-preserving Distributed Machine Learning via Local Randomization and ADMM Perturbation
Authors: Xin Wang, Hideaki Ishii, Linkang Du, Peng Cheng, Jiming Chen | Published: 2019-07-30 | Updated: 2019-09-09
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation
Authors: Utku Ozbulak, Arnout Van Messem, Wesley De Neve | Published: 2019-07-30
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding
Authors: Utku Ozbulak, Arnout Van Messem, Wesley De Neve | Published: 2019-07-30
Nonconvex Zeroth-Order Stochastic ADMM Methods with Lower Function Query Complexity
Authors: Feihu Huang, Shangqian Gao, Jian Pei, Heng Huang | Published: 2019-07-30 | Updated: 2023-12-11
A Deep Learning Based Attack for The Chaos-based Image Encryption
Authors: Chen He, Kan Ming, Yongwei Wang, Z. Jane Wang | Published: 2019-07-29
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples
Authors: Hossein Hosseini, Sreeram Kannan, Radha Poovendran | Published: 2019-07-28