activity
20122020
most citedLearning to Detect Malicious Clients for Robust Federated Learning

187 citations · 752 across the 35 of their papers we have counts for

collaborators

35 papers

cs.SE20206 cited

An Empirical Study of Usages, Updates and Risks of Third-Party Libraries in Java Projects

Ying Wang, Bihuan Chen, Kaifeng Huang +5

Third-party libraries are a central building block to develop software systems. However, outdated third-party libraries are commonly used, and developers are usually less aware of…

cs.CR202047 cited

Droidetec: Android Malware Detection and Malicious Code Localization through Deep Learning

Zhuo Ma, Haoran Ge, Zhuzhu Wang +2

Android malware detection is a critical step towards building a security credible system. Especially, manual search for the potential malicious code has plagued program analysts fo…

cs.IR20203 cited

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems

Liu Yang, Minghui Qiu, Chen Qu +5

Personal assistant systems, such as Apple Siri, Google Assistant, Amazon Alexa, and Microsoft Cortana, are becoming ever more widely used. Understanding user intent such as clarifi…

cs.LG2020187 cited

Learning to Detect Malicious Clients for Robust Federated Learning

Suyi Li, Yong Cheng, Wei Wang +2

Federated learning systems are vulnerable to attacks from malicious clients. As the central server in the system cannot govern the behaviors of the clients, a rogue client may init…

cs.LG202029 cited

FedVision: An Online Visual Object Detection Platform Powered by Federated Learning

Yang Liu, Anbu Huang, Yun Luo +7

Visual object detection is a computer vision-based artificial intelligence (AI) technique which has many practical applications (e.g., fire hazard monitoring). However, due to priv…

eess.SP2019

Broadband Sparse Array Focusing Via Spatial Periodogram Averaging and Correlation Resampling

Yang Liu, John R. Buck

This paper proposes two coherent broadband focusing algorithms for spatial correlation estimation using sparse linear arrays. Both algorithms decompose the time-domain array data i…