Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations
Authors: Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt | Published: 2022-06-13
Fusing Feature Engineering and Deep Learning: A Case Study for Malware Classification
Authors: Daniel Gibert, Carles Mateu, Jordi Planes, Quan Le | Published: 2022-06-12
Darknet Traffic Classification and Adversarial Attacks
Authors: Nhien Rust-Nguyen, Mark Stamp | Published: 2022-06-12
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency
Authors: Jinyin Chen, Mingjun Li, Tao Liu, Haibin Zheng, Yao Cheng, Changting Lin | Published: 2022-06-11
Bayesian Estimation of Differential Privacy
Authors: Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Ahmed Salem, Victor Rühle, Andrew Paverd, Mohammad Naseri, Boris Köpf, Daniel Jones | Published: 2022-06-10 | Updated: 2022-06-15
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
Authors: Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié | Published: 2022-06-10 | Updated: 2024-06-11
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