activity
20182024
most citedA Framework for Evaluating Gradient Leakage Attacks in Federated Learning

98 citations · 160 across the 13 of their papers we have counts for

collaborators

20 papers

cs.CR2023

Few-shot Multi-domain Knowledge Rearming for Context-aware Defence against Advanced Persistent Threats

Gaolei Li, Yuanyuan Zhao, Wenqi Wei +1

Advanced persistent threats (APTs) have novel features such as multi-stage penetration, highly-tailored intention, and evasive tactics. APTs defense requires fusing multi-dimension…

cs.SI20215 cited

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…

cs.SD20212 cited

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…

cs.LG2021

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…

cs.LG2020

Promoting High Diversity Ensemble Learning with EnsembleBench

Yanzhao Wu, Ling Liu, Zhongwei Xie +3

Ensemble learning is gaining renewed interests in recent years. This paper presents EnsembleBench, a holistic framework for evaluating and recommending high diversity and high accu…

cs.LG20201 cited

Robust Deep Learning Ensemble against Deception

Wenqi Wei, Ling Liu

Deep neural network (DNN) models are known to be vulnerable to maliciously crafted adversarial examples and to out-of-distribution inputs drawn sufficiently far away from the train…