6 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CR2021★ 1 cited
HoneyCar: A Framework to Configure Honeypot Vulnerabilities on the Internet of Vehicles
Sakshyam Panda, Stefan Rass, Sotiris Moschoyiannis +3
The Internet of Vehicles (IoV), whereby interconnected vehicles communicate with each other and with road infrastructure on a common network, has promising socio-economic benefits…
cs.CR2021★ 4 cited
PIVODL: Privacy-preserving vertical federated learning over distributed labels
Hangyu Zhu, Rui Wang, Yaochu Jin +1
Federated learning (FL) is an emerging privacy preserving machine learning protocol that allows multiple devices to collaboratively train a shared global model without revealing th…
cs.CR2020★ 6 cited
Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning
Hangyu Zhu, Rui Wang, Yaochu Jin +2
Homomorphic encryption is a very useful gradient protection technique used in privacy preserving federated learning. However, existing encrypted federated learning systems need a t…