Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design
Authors: Chuan Guo, Kamalika Chaudhuri, Pierre Stock, Mike Rabbat | Published: 2022-11-08 | Updated: 2023-08-10
A Hypergraph-Based Machine Learning Ensemble Network Intrusion Detection System
Authors: Zong-Zhi Lin, Thomas D. Pike, Mark M. Bailey, Nathaniel D. Bastian | Published: 2022-11-08 | Updated: 2024-09-06
Unlearning Graph Classifiers with Limited Data Resources
Authors: Chao Pan, Eli Chien, Olgica Milenkovic | Published: 2022-11-06 | Updated: 2023-07-01
Revisiting Hyperparameter Tuning with Differential Privacy
Authors: Youlong Ding, Xueyang Wu | Published: 2022-11-03 | Updated: 2023-01-31
Amplifying Membership Exposure via Data Poisoning
Authors: Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang | Published: 2022-11-01
Adversarial Policies Beat Superhuman Go AIs
Authors: Tony T. Wang, Adam Gleave, Tom Tseng, Kellin Pelrine, Nora Belrose, Joseph Miller, Michael D. Dennis, Yawen Duan, Viktor Pogrebniak, Sergey Levine, Stuart Russell | Published: 2022-11-01 | Updated: 2023-07-13
Unclonability and Quantum Cryptanalysis: From Foundations to Applications
Authors: Mina Doosti | Published: 2022-10-31
FedMint: Intelligent Bilateral Client Selection in Federated Learning with Newcomer IoT Devices
Authors: Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab, Hadi Otrok, Safa Otoum, Azzam Mourad, Mohsen Guizani | Published: 2022-10-31
VertiBayes: Learning Bayesian network parameters from vertically partitioned data with missing values
Authors: Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo Bermejo | Published: 2022-10-31 | Updated: 2024-05-21
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networks
Authors: Anupama Ray, Sai Sakunthala Guddanti, Vishnu Ajith, Dhinakaran Vinayagamurthy | Published: 2022-10-30