Deep Leakage from Model in Federated Learning
Authors: Zihao Zhao, Mengen Luo, Wenbo Ding | Published: 2022-06-10
Membership Inference via Backdooring
Authors: Hongsheng Hu, Zoran Salcic, Gillian Dobbie, Jinjun Chen, Lichao Sun, Xuyun Zhang | Published: 2022-06-10
Leveraging Centric Data Federated Learning Using Blockchain For Integrity Assurance
Authors: Riadh Ben Chaabene, Darine Amayed, Mohamed Cheriet | Published: 2022-06-09
A Critical Review on the Use (and Misuse) of Differential Privacy in Machine Learning
Authors: Alberto Blanco-Justicia, David Sanchez, Josep Domingo-Ferrer, Krishnamurty Muralidhar | Published: 2022-06-09 | Updated: 2022-07-05
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Authors: Zhongkai Hao, Chengyang Ying, Yinpeng Dong, Hang Su, Jun Zhu, Jian Song | Published: 2022-06-09 | Updated: 2022-06-29
Analytical Composition of Differential Privacy via the Edgeworth Accountant
Authors: Hua Wang, Sheng Gao, Huanyu Zhang, Milan Shen, Weijie J. Su | Published: 2022-06-09
Generative Adversarial Networks and Image-Based Malware Classification
Authors: Huy Nguyen, Fabio Di Troia, Genya Ishigaki, Mark Stamp | Published: 2022-06-08
To remove or not remove Mobile Apps? A data-driven predictive model approach
Authors: Fadi Mohsen, Dimka Karastoyanova, George Azzopardi | Published: 2022-06-08
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Authors: Kai Yue, Richeng Jin, Chau-Wai Wong, Dror Baron, Huaiyu Dai | Published: 2022-06-08 | Updated: 2022-10-14
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation
Authors: Qian Chen, Zilong Wang, Jiawei Chen, Haonan Yan, Xiaodong Lin | Published: 2022-06-08