Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Authors: Konstantinos P. Panousis, Sotirios Chatzis, Antonios Alexos, Sergios Theodoridis | Published: 2021-01-04 | Updated: 2021-03-29
Poisoning
Active Learning Under Malicious Mislabeling and Poisoning Attacks
Authors: Jing Lin, Ryan Luley, Kaiqi Xiong | Published: 2021-01-01 | Updated: 2021-09-02
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Authors: Micah Goldblum, Dimitris Tsipras, Chulin Xie, Xinyun Chen, Avi Schwarzschild, Dawn Song, Aleksander Madry, Bo Li, Tom Goldstein | Published: 2020-12-18 | Updated: 2021-03-31
Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions
Authors: Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez, David Sánchez, Adrian Flanagan, Kuan Eeik Tan | Published: 2020-12-12
I-GCN: Robust Graph Convolutional Network via Influence Mechanism
Authors: Haoxi Zhan, Xiaobing Pei | Published: 2020-12-11
FAT: Federated Adversarial Training
Authors: Giulio Zizzo, Ambrish Rawat, Mathieu Sinn, Beat Buesser | Published: 2020-12-03
Practical Privacy Attacks on Vertical Federated Learning
Authors: Haiqin Weng, Juntao Zhang, Xingjun Ma, Feng Xue, Tao Wei, Shouling Ji, Zhiyuan Zong | Published: 2020-11-18 | Updated: 2022-07-22
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
Authors: Nguyen Truong, Kai Sun, Siyao Wang, Florian Guitton, Yike Guo | Published: 2020-11-10 | Updated: 2021-03-18
DualNet: Locate Then Detect Effective Payload with Deep Attention Network
Authors: Shiyi Yang, Peilun Wu, Hui Guo | Published: 2020-10-23
VenoMave: Targeted Poisoning Against Speech Recognition
Authors: Hojjat Aghakhani, Lea Schönherr, Thorsten Eisenhofer, Dorothea Kolossa, Thorsten Holz, Christopher Kruegel, Giovanni Vigna | Published: 2020-10-21 | Updated: 2023-04-20