183 citations · 608 across the 14 of their papers we have counts for
10 papers · 1 filter
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…