Trustworthy ai: From principles to practices

B Li, P Qi, B Liu, S Di, J Liu, J Pei, J Yi… - ACM Computing Surveys, 2023 - dl.acm.org
The rapid development of Artificial Intelligence (AI) technology has enabled the deployment
of various systems based on it. However, many current AI systems are found vulnerable to …

Differential privacy techniques for cyber physical systems: a survey

MU Hassan, MH Rehmani… - … Communications Surveys & …, 2019 - ieeexplore.ieee.org
Modern cyber physical systems (CPSs) has widely being used in our daily lives because of
development of information and communication technologies (ICT). With the provision of …

Heavy hitter estimation over set-valued data with local differential privacy

Z Qin, Y Yang, T Yu, I Khalil, X Xiao, K Ren - Proceedings of the 2016 …, 2016 - dl.acm.org
In local differential privacy (LDP), each user perturbs her data locally before sending the
noisy data to a data collector. The latter then analyzes the data to obtain useful statistics …

大数据时代的个人隐私保护

刘雅辉, 张铁赢, 靳小龙, 程学旗 - 计算机研究与发展, 2015 - cqvip.com
随着信息技术的发展, 以Web2. 0 技术为基础的博客, 微博, 社交网络等新兴服务和物联网以
前所未有的发展速度产生了类型繁多的数据, 而云计算为数据的存储提供了基础平台 …

Privacy-preserving machine learning: Methods, challenges and directions

R Xu, N Baracaldo, J Joshi - arXiv preprint arXiv:2108.04417, 2021 - arxiv.org
Machine learning (ML) is increasingly being adopted in a wide variety of application
domains. Usually, a well-performing ML model relies on a large volume of training data and …

Differential privacy and machine learning: a survey and review

Z Ji, ZC Lipton, C Elkan - arXiv preprint arXiv:1412.7584, 2014 - arxiv.org
The objective of machine learning is to extract useful information from data, while privacy is
preserved by concealing information. Thus it seems hard to reconcile these competing …

Differentially private transit data publication: a case study on the montreal transportation system

R Chen, BCM Fung, BC Desai… - Proceedings of the 18th …, 2012 - dl.acm.org
With the wide deployment of smart card automated fare collection (SCAFC) systems, public
transit agencies have been benefiting from huge volume of transit data, a kind of sequential …

Differentially private sequential data publication via variable-length n-grams

R Chen, G Acs, C Castelluccia - … of the 2012 ACM conference on …, 2012 - dl.acm.org
Sequential data is being increasingly used in a variety of applications. Publishing sequential
data is of vital importance to the advancement of these applications. However, as shown by …

[HTML][HTML] A survey of privacy-preserving mechanisms for heterogeneous data types

M Cunha, R Mendes, JP Vilela - Computer science review, 2021 - Elsevier
Due to the pervasiveness of always connected devices, large amounts of heterogeneous
data are continuously being collected. Beyond the benefits that accrue for the users, there …

[HTML][HTML] Publishing data from electronic health records while preserving privacy: A survey of algorithms

A Gkoulalas-Divanis, G Loukides, J Sun - Journal of biomedical informatics, 2014 - Elsevier
Abstract The dissemination of Electronic Health Records (EHRs) can be highly beneficial for
a range of medical studies, spanning from clinical trials to epidemic control studies, but it …