6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CR2021★ 1 cited
Understanding the Interplay between Privacy and Robustness in Federated Learning
Yaowei Han, Yang Cao, Masatoshi Yoshikawa
Federated Learning (FL) is emerging as a promising paradigm of privacy-preserving machine learning, which trains an algorithm across multiple clients without exchanging their data…
cs.CR2020★ 6 cited
Voice-Indistinguishability: Protecting Voiceprint in Privacy-Preserving Speech Data Release
Yaowei Han, Sheng Li, Yang Cao +2
With the development of smart devices, such as the Amazon Echo and Apple's HomePod, speech data have become a new dimension of big data. However, privacy and security concerns may…