Differentially Private Clustering in Data Streams
Authors: Alessandro Epasto, Tamalika Mukherjee, Peilin Zhong | Published: 2023-07-14 | Updated: 2024-01-08
Algorithm Design
Information-Theoretically Private Federated Submodel Learning with Storage Constrained Databases
Authors: Sajani Vithana, Sennur Ulukus | Published: 2023-07-12
ConFL: Constraint-guided Fuzzing for Machine Learning Framework
Authors: Zhao Liu, Quanchen Zou, Tian Yu, Xuan Wang, Guozhu Meng, Kai Chen, Deyue Zhang | Published: 2023-07-11
Bounding data reconstruction attacks with the hypothesis testing interpretation of differential privacy
Authors: Georgios Kaissis, Jamie Hayes, Alexander Ziller, Daniel Rueckert | Published: 2023-07-08
An Algorithm for Persistent Homology Computation Using Homomorphic Encryption
Authors: Dominic Gold, Koray Karabina, Francis C. Motta | Published: 2023-07-04
Approximate, Adapt, Anonymize (3A): a Framework for Privacy Preserving Training Data Release for Machine Learning
Authors: Tamas Madl, Weijie Xu, Olivia Choudhury, Matthew Howard | Published: 2023-07-04
New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata
Authors: Seyed Ardalan Ghoreishi, Mohammad Reza Meybodi | Published: 2023-07-02 | Updated: 2024-03-08
Locally Differentially Private Distributed Online Learning with Guaranteed Optimality
Authors: Ziqin Chen, Yongqiang Wang | Published: 2023-06-25 | Updated: 2024-08-23
Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks
Authors: Pranav Dahiya, Ilia Shumailov, Ross Anderson | Published: 2023-06-24 | Updated: 2024-02-10
Decentralized Online Federated G-Network Learning for Lightweight Intrusion Detection
Authors: Mert Nakıp, Baran Can Gül, Erol Gelenbe | Published: 2023-06-22 | Updated: 2023-11-28