Exploring Adversarial Examples in Malware Detection
Authors: Octavian Suciu, Scott E. Coull, Jeffrey Johns | Published: 2018-10-18 | Updated: 2019-04-13
ポイズニング
Neural Networks with Structural Resistance to Adversarial Attacks
Authors: Luca de Alfaro | Published: 2018-09-25
Poisoning Attacks to Graph-Based Recommender Systems
Authors: Minghong Fang, Guolei Yang, Neil Zhenqiang Gong, Jia Liu | Published: 2018-09-11
Universal Multi-Party Poisoning Attacks
Authors: Saeed Mahloujifar, Mohammad Mahmoody, Ameer Mohammed | Published: 2018-09-10 | Updated: 2021-11-10
Towards Query Efficient Black-box Attacks: An Input-free Perspective
Authors: Yali Du, Meng Fang, Jinfeng Yi, Jun Cheng, Dacheng Tao | Published: 2018-09-09
Adversarial Attacks on Node Embeddings via Graph Poisoning
Authors: Aleksandar Bojchevski, Stephan Günnemann | Published: 2018-09-04 | Updated: 2019-05-27
Mitigating Sybils in Federated Learning Poisoning
Authors: Clement Fung, Chris J. M. Yoon, Ivan Beschastnikh | Published: 2018-08-14 | Updated: 2020-07-15
Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding
Authors: Tong Chen, Wenjia Niu, Yingxiao Xiang, Xiaoxuan Bai, Jiqiang Liu, Zhen Han, Gang Li | Published: 2018-07-18
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data
Authors: Jacson Rodrigues Correia-Silva, Rodrigo F. Berriel, Claudine Badue, Alberto F. de Souza, Thiago Oliveira-Santos | Published: 2018-06-14
Adversarial Regression with Multiple Learners
Authors: Liang Tong, Sixie Yu, Scott Alfeld, Yevgeniy Vorobeychik | Published: 2018-06-06