8 citations · 21 across the 5 of their papers we have counts for
8 papers
Confined Gradient Descent: Privacy-preserving Optimization for Federated Learning
Yanjun Zhang, Guangdong Bai, Xue Li +2
Federated learning enables multiple participants to collaboratively train a model without aggregating the training data. Although the training data are kept within each participant…
ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence
Haoxi Tan, Mahin Chandramohan, Cristina Cifuentes +2
Malware analysis is still largely a manual task. This slow and inefficient approach does not scale to the exponential rise in the rate of new unique malware generated. Hence, autom…
An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systems
Taejun Choi, Guangdong Bai, Ryan K L Ko +3
Industrial control systems (ICS) of critical infrastructure are increasingly connected to the Internet for remote site management at scale. However, cyber attacks against ICS - esp…
When the Open Source Community Meets COVID-19: Characterizing COVID-19 themed GitHub Repositories
Liu Wang, Ruiqing Li, Jiaxin Zhu +2
Ever since the beginning of the outbreak of the COVID-19 pandemic, researchers from interdisciplinary domains have worked together to fight against the crisis. The open source comm…
PrivColl: Practical Privacy-Preserving Collaborative Machine Learning
Yanjun Zhang, Guangdong Bai, Xue Li +3
Collaborative learning enables two or more participants, each with their own training dataset, to collaboratively learn a joint model. It is desirable that the collaboration should…
Don't Fish in Troubled Waters! Characterizing Coronavirus-themed Cryptocurrency Scams
Pengcheng Xia, Haoyu Wang, Xiapu Luo +6
As COVID-19 has been spreading across the world since early 2020, a growing number of malicious campaigns are capitalizing the topic of COVID-19. COVID-19 themed cryptocurrency sca…