Adversarial Perturbations Fool Deepfake Detectors
Authors: Apurva Gandhi, Shomik Jain | Published: 2020-03-24 | Updated: 2020-05-15
敵対的攻撃手法
Adversarial Transferability in Wearable Sensor Systems
Authors: Ramesh Kumar Sah, Hassan Ghasemzadeh | Published: 2020-03-17 | Updated: 2021-07-15
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks
Authors: Yusuke Tashiro, Yang Song, Stefano Ermon | Published: 2020-03-15 | Updated: 2020-10-30
A Survey of Adversarial Learning on Graphs
Authors: Liang Chen, Jintang Li, Jiaying Peng, Tao Xie, Zengxu Cao, Kun Xu, Xiangnan He, Zibin Zheng, Bingzhe Wu | Published: 2020-03-10 | Updated: 2022-04-05
Security of Distributed Machine Learning: A Game-Theoretic Approach to Design Secure DSVM
Authors: Rui Zhang, Quanyan Zhu | Published: 2020-03-08 | Updated: 2020-04-26
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
Authors: Victor Akinwande, Celia Cintas, Skyler Speakman, Srihari Sridharan | Published: 2020-02-13 | Updated: 2020-07-25
Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks
Authors: Roi Pony, Itay Naeh, Shie Mannor | Published: 2020-02-12 | Updated: 2021-06-04
Attack based DoS attack detection using multiple classifier
Authors: Mohamed Abushwereb, Muhannad Mustafa, Mouhammd Al-kasassbeh, Malik Qasaimeh | Published: 2020-01-16
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning
Authors: Roei Schuster, Tal Schuster, Yoav Meri, Vitaly Shmatikov | Published: 2020-01-14
Advbox: a toolbox to generate adversarial examples that fool neural networks
Authors: Dou Goodman, Hao Xin, Wang Yang, Wu Yuesheng, Xiong Junfeng, Zhang Huan | Published: 2020-01-13 | Updated: 2020-08-26