15 citations · 15 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 15 cited
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Jingwei Sun, Ang Li, Louis DiValentin +3
Federated learning (FL) is a popular distributed learning framework that trains a global model through iterative communications between a central server and edge devices. Recent wo…
cs.CR2020
Security and Privacy Considerations for Machine Learning Models Deployed in the Government and Public Sector (white paper)
Nader Sehatbakhsh, Ellie Daw, Onur Savas +2
As machine learning becomes a more mainstream technology, the objective for governments and public sectors is to harness the power of machine learning to advance their mission by r…
cs.CR2020
A Review of Cybersecurity Incidents in the Water Sector
Amin Hassanzadeh, Amin Rasekh, Stefano Galelli +4
This study presents a critical review of disclosed, documented, and malicious cybersecurity incidents in the water sector to inform safeguarding efforts against cybersecurity threa…