Differentially Private Stochastic Gradient Descent with Low-Noise
Authors: Puyu Wang, Yunwen Lei, Yiming Ying, Ding-Xuan Zhou | Published: 2022-09-09 | Updated: 2023-07-14
Model Design
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
Authors: Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang | Published: 2022-09-08 | Updated: 2024-08-04
VulCurator: A Vulnerability-Fixing Commit Detector
Authors: Truong Giang Nguyen, Thanh Le-Cong, Hong Jin Kang, Xuan-Bach D. Le, David Lo | Published: 2022-09-07
Avast-CTU Public CAPE Dataset
Authors: Branislav Bosansky, Dominik Kouba, Ondrej Manhal, Thorsten Sick, Viliam Lisy, Jakub Kroustek, Petr Somol | Published: 2022-09-06
RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data
Authors: Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure, Victor Cobilean, Timothy D. Pennington, Benny J. Varghese, Craig Rieger, Milos Manic | Published: 2022-09-05
Beyond Random Split for Assessing Statistical Model Performance
Authors: Carlos Catania, Jorge Guerra, Juan Manuel Romero, Gabriel Caffaratti, Martin Marchetta | Published: 2022-09-04
Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference
Authors: Qiao Zhang, Tao Xiang, Chunsheng Xin, Biwen Chen, Hongyi Wu | Published: 2022-09-04
Unlocking High-Accuracy Differentially Private Image Classification through Scale
Authors: Soham De, Leonard Berrada, Jamie Hayes, Samuel L. Smith, Borja Balle | Published: 2022-04-28 | Updated: 2022-06-16
Prediction Approach against DDoS Attack based on Machine Learning Multiclassfier
Authors: Anupama Mishra | Published: 2022-04-27
Towards Privacy-Preserving Neural Architecture Search
Authors: Fuyi Wang, Leo Yu Zhang, Lei Pan, Shengshan Hu, Robin Doss | Published: 2022-04-22