Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence
Authors: Carles Domingo-Enrich, Youssef Mroueh | Published: 2022-05-27
フレームワーク
The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
Authors: Giovanni Apruzzese, Luca Pajola, Mauro Conti | Published: 2022-03-09
LSTMSPLIT: Effective SPLIT Learning based LSTM on Sequential Time-Series Data
Authors: Lianlian Jiang, Yuexuan Wang, Wenyi Zheng, Chao Jin, Zengxiang Li, Sin G. Teo | Published: 2022-03-08
Flurry: a Fast Framework for Reproducible Multi-layered Provenance Graph Representation Learning
Authors: Maya Kapoor, Joshua Melton, Michael Ridenhour, Mahalavanya Sriram, Thomas Moyer, Siddharth Krishnan | Published: 2022-03-05
On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms
Authors: Shuyu Cheng, Guoqiang Wu, Jun Zhu | Published: 2021-07-21 | Updated: 2021-11-07
ESCAPED: Efficient Secure and Private Dot Product Framework for Kernel-based Machine Learning Algorithms with Applications in Healthcare
Authors: Ali Burak Ünal, Mete Akgün, Nico Pfeifer | Published: 2020-12-04
SynGAN: Towards Generating Synthetic Network Attacks using GANs
Authors: Jeremy Charlier, Aman Singh, Gaston Ormazabal, Radu State, Henning Schulzrinne | Published: 2019-08-26
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Authors: Qinbin Li, Zeyi Wen, Zhaomin Wu, Sixu Hu, Naibo Wang, Yuan Li, Xu Liu, Bingsheng He | Published: 2019-07-23 | Updated: 2021-12-05
Adversarial Defense Framework for Graph Neural Network
Authors: Shen Wang, Zhengzhang Chen, Jingchao Ni, Xiao Yu, Zhichun Li, Haifeng Chen, Philip S. Yu | Published: 2019-05-09 | Updated: 2019-05-10
SEALion: a Framework for Neural Network Inference on Encrypted Data
Authors: Tim van Elsloo, Giorgio Patrini, Hamish Ivey-Law | Published: 2019-04-29