183 citations · 608 across the 14 of their papers we have counts for
15 papers
Electric Field Induced Macroscopic Cellular Phase of Nanoparticles
Abigail Rendos, Wenhan Cao, Margaret Chern +5
A suspension of nanoparticles with very low volume fraction is found to assemble into a macroscopic cellular phase under the collective influence of AC and DC voltages. Systematic…
DP-Image: Differential Privacy for Image Data in Feature Space
Hanyu Xue, Bo Liu, Ming Ding +4
The excessive use of images in social networks, government databases, and industrial applications has posed great privacy risks and raised serious concerns from the public. Even th…
Differential Advising in Multi-Agent Reinforcement Learning
Dayong Ye, Tianqing Zhu, Zishuo Cheng +2
Agent advising is one of the main approaches to improve agent learning performance by enabling agents to share advice. Existing advising methods have a common limitation that an ad…
From Distributed Machine Learning To Federated Learning: In The View Of Data Privacy And Security
Sheng Shen, Tianqing Zhu, Di Wu +2
Federated learning is an improved version of distributed machine learning that further offloads operations which would usually be performed by a central server. The server becomes…
Correlated Differential Privacy: Feature Selection in Machine Learning
Tao Zhang, Tianqing Zhu, Ping Xiong +3
Privacy preserving in machine learning is a crucial issue in industry informatics since data used for training in industries usually contain sensitive information. Existing differe…
Fairness in Semi-supervised Learning: Unlabeled Data Help to Reduce Discrimination
Tao Zhang, Tianqing Zhu, Jing Li +3
A growing specter in the rise of machine learning is whether the decisions made by machine learning models are fair. While research is already underway to formalize a machine-learn…
Fairness Constraints in Semi-supervised Learning
Tao Zhang, Tianqing Zhu, Mengde Han +3
Fairness in machine learning has received considerable attention. However, most studies on fair learning focus on either supervised learning or unsupervised learning. Very few cons…
A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries
Dayong Ye, Tianqing Zhu, Shen Sheng +1
Cyber deception is one of the key approaches used to mislead attackers by hiding or providing inaccurate system information. There are two main factors limiting the real-world appl…
More Than Privacy: Applying Differential Privacy in Key Areas of Artificial Intelligence
Tianqing Zhu, Dayong Ye, Wei Wang +2
Artificial Intelligence (AI) has attracted a great deal of attention in recent years. However, alongside all its advancements, problems have also emerged, such as privacy violation…
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks
Chi Liu, Tianqing Zhu, Jun Zhang +1
Image sharing on online social networks (OSNs) has become an indispensable part of daily social activities, but it has also led to an increased risk of privacy invasion. The recent…
Differentially Private Multi-Agent Planning for Logistic-like Problems
Dayong Ye, Tianqing Zhu, Sheng Shen +2
Planning is one of the main approaches used to improve agents' working efficiency by making plans beforehand. However, during planning, agents face the risk of having their private…
Correlated Data in Differential Privacy: Definition and Analysis
Tao Zhang, Tianqing Zhu, Renping Liu +1
Differential privacy is a rigorous mathematical framework for evaluating and protecting data privacy. In most existing studies, there is a vulnerable assumption that records in a d…
A Study of Data Pre-processing Techniques for Imbalanced Biomedical Data Classification
Shigang Liu, Jun Zhang, Yang Xiang +2
Biomedical data are widely accepted in developing prediction models for identifying a specific tumor, drug discovery and classification of human cancers. However, previous studies…
A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade
Rajkumar Buyya, Satish Narayana Srirama, Giuliano Casale +22
The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured…
Differentially Private Query Learning: from Data Publishing to Model Publishing
Tianqing Zhu, Ping Xiong, Gang Li +2
With the development of Big Data and cloud data sharing, privacy preserving data publishing becomes one of the most important topics in the past decade. As one of the most influent…