98 citations · 474 across the 39 of their papers we have counts for
4 papers · 1 filter
Gradient Leakage Attack Resilient Deep Learning
Wenqi Wei, Ling Liu
Gradient leakage attacks are considered one of the wickedest privacy threats in deep learning as attackers covertly spy gradient updates during iterative training without compromis…
Network Representation Learning: From Preprocessing, Feature Extraction to Node Embedding
Jingya Zhou, Ling Liu, Wenqi Wei +1
Network representation learning (NRL) advances the conventional graph mining of social networks, knowledge graphs, and complex biomedical and physics information networks. Over doz…
Speech2Video: Cross-Modal Distillation for Speech to Video Generation
Shijing Si, Jianzong Wang, Xiaoyang Qu +4
This paper investigates a novel task of talking face video generation solely from speeches. The speech-to-video generation technique can spark interesting applications in entertain…
Gradient-Leakage Resilient Federated Learning
Wenqi Wei, Ling Liu, Yanzhao Wu +2
Federated learning(FL) is an emerging distributed learning paradigm with default client privacy because clients can keep sensitive data on their devices and only share local traini…