I-GCN: Robust Graph Convolutional Network via Influence Mechanism
Authors: Haoxi Zhan, Xiaobing Pei | Published: 2020-12-11
ポイズニング
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
Mitigating Sybil Attacks on Differential Privacy based Federated Learning
Authors: Yupeng Jiang, Yong Li, Yipeng Zhou, Xi Zheng | Published: 2020-10-20
A Survey of Machine Learning Techniques in Adversarial Image Forensics
Authors: Ehsan Nowroozi, Ali Dehghantanha, Reza M. Parizi, Kim-Kwang Raymond Choo | Published: 2020-10-19
GOAT: GPU Outsourcing of Deep Learning Training With Asynchronous Probabilistic Integrity Verification Inside Trusted Execution Environment
Authors: Aref Asvadishirehjini, Murat Kantarcioglu, Bradley Malin | Published: 2020-10-17
BlockFLA: Accountable Federated Learning via Hybrid Blockchain Architecture
Authors: Harsh Bimal Desai, Mustafa Safa Ozdayi, Murat Kantarcioglu | Published: 2020-10-14