Invited Paper: The Applications of Machine Learning in Privacy Notice and Choice

机译：受邀论文：机器学习在隐私声明和选择中的应用

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For more than two decades since the rise of the World Wide Web, the “Notice and Choice” framework has been the governing practice for the disclosure of online privacy practices. The emergence of new forms of user interactions, such as voice, and the enforcement of new regulations, such as the EU's recent General Data Protection Regulation (GDPR), promise to change this privacy landscape drastically. This paper discusses the challenges towards providing the privacy stakeholders with privacy awareness and control in this changing landscape. We will also present our recent research on utilizing Machine learning to analyze privacy policies and settings.

机译：自万维网兴起以来的二十多年中，“通知和选择”框架一直是公开在线隐私惯例的规范惯例。诸如语音之类的新形式的用户交互的出现以及诸如欧盟最近的通用数据保护法规（GDPR）之类的新法规的实施，有望彻底改变这种隐私格局。本文讨论了在这种瞬息万变的环境中向隐私涉众提供隐私意识和控制的挑战。我们还将介绍我们最近的有关利用机器学习来分析隐私策略和设置的研究。

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《International Conference on Communication Systems and Networks》|2019年|118-124|共7页
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Kassem Fawaz; Thomas Linden; Hamza Harkous;
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关键词
Privacy; Companies; Data collection; General Data Protection Regulation; Taxonomy; Machine learning;

机译：隐私;公司;数据收集;通用数据保护法规;分类法;机器学习;

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2. Machine learning for network automation: overview, architecture, and applications [Invited Tutorial] [J] . Danish Rafique, Luis Velasco Optical Communications and Networking, IEEE/OSA Journal of . 2018,第10期

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4. Invited Paper: The Applications of Machine Learning in Privacy Notice and Choice [C] . Kassem Fawaz, Thomas Linden, Hamza Harkous International Conference on Communication Systems and Networks . 2019

机译：邀请纸：机器学习在隐私声明和选择中的应用
5. Privacy-preserving Machine Learning Applications [D] . Todoki, Ariel Akemi. 2019

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6. Novel application of heuristic optimisation enables the creation and thorough evaluation of robust support vector machine ensembles for machine learning applications [O] . Eleni Anthippi Chatzimichali, Conrad Bessant -1

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Invited Paper: The Applications of Machine Learning in Privacy Notice and Choice

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