Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks
Authors: Alexander Levine, Soheil Feizi | Published: 2019-10-23
文献データベース
A Useful Taxonomy for Adversarial Robustness of Neural Networks
Authors: Leslie N. Smith | Published: 2019-10-23
ASNM Datasets: A Collection of Network Traffic Features for Testing of Adversarial Classifiers and Network Intrusion Detectors
Authors: Ivan Homoliak, Petr Hanacek | Published: 2019-10-23
A Context-aware Framework for Detecting Sensor-based Threats on Smart Devices
Authors: Amit Kumar Sikder, Hidayet Aksu, A. Selcuk Uluagac | Published: 2019-10-22
Cross-Representation Transferability of Adversarial Attacks: From Spectrograms to Audio Waveforms
Authors: Karl Michel Koerich, Mohammad Esmaeilpour, Sajjad Abdoli, Alceu de Souza Britto Jr., Alessandro Lameiras Koerich | Published: 2019-10-22 | Updated: 2020-07-29
Adversarial Example Detection by Classification for Deep Speech Recognition
Authors: Saeid Samizade, Zheng-Hua Tan, Chao Shen, Xiaohong Guan | Published: 2019-10-22
Abnormal Client Behavior Detection in Federated Learning
Authors: Suyi Li, Yong Cheng, Yang Liu, Wei Wang, Tianjian Chen | Published: 2019-10-22 | Updated: 2019-12-06
Edge Dithering for Robust Adaptive Graph Convolutional Networks
Authors: Vassilis N. Ioannidis, Georgios B. Giannakis | Published: 2019-10-21
GraphSAC: Detecting anomalies in large-scale graphs
Authors: Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis | Published: 2019-10-21
Learning to Learn by Zeroth-Order Oracle
Authors: Yangjun Ruan, Yuanhao Xiong, Sashank Reddi, Sanjiv Kumar, Cho-Jui Hsieh | Published: 2019-10-21 | Updated: 2020-02-07