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
Natural language privacy policies have become a de facto standard to address expectations of “notice...
A privacy policy is a legal document, used by websites to communicate how the personal data that the...
Website privacy policies are often long and difficult to understand. While research shows that Inter...
This paper suggests a machine learning approach to preference generation in the context of privacy a...
When requesting a web-based service, users often fail in setting the website’s privacy settings acco...
This report contains preliminary results of the study aiming at automating legal evaluation of priva...
Internet privacy lacks transparency, choice, quantifiability, and accountability, especially, as the...
In this monograph, we summarize the state-of-art research on machine learning driven privacy protect...
Two years after its entry into force, the EU General Data Protection Regulation became applicable on...
Posted: 25 Jul 2018This report contains preliminary results of the study aiming at automating legal ...
Two years after its entry into force, the EU General Data Protection Regulation became applicable on...
In the digital era, consumers continuously use online services and apps for their daily activities. ...
In this thesis, we exploit the advantages of Machine learning (ML) in the domains of data security a...
Today, users interact with a variety of online services offered by different providers. In order to ...
Today, users interact with a variety of online services offered by different providers. In order to ...
Natural language privacy policies have become a de facto standard to address expectations of “notice...
A privacy policy is a legal document, used by websites to communicate how the personal data that the...
Website privacy policies are often long and difficult to understand. While research shows that Inter...
This paper suggests a machine learning approach to preference generation in the context of privacy a...
When requesting a web-based service, users often fail in setting the website’s privacy settings acco...
This report contains preliminary results of the study aiming at automating legal evaluation of priva...
Internet privacy lacks transparency, choice, quantifiability, and accountability, especially, as the...
In this monograph, we summarize the state-of-art research on machine learning driven privacy protect...
Two years after its entry into force, the EU General Data Protection Regulation became applicable on...
Posted: 25 Jul 2018This report contains preliminary results of the study aiming at automating legal ...
Two years after its entry into force, the EU General Data Protection Regulation became applicable on...
In the digital era, consumers continuously use online services and apps for their daily activities. ...
In this thesis, we exploit the advantages of Machine learning (ML) in the domains of data security a...
Today, users interact with a variety of online services offered by different providers. In order to ...
Today, users interact with a variety of online services offered by different providers. In order to ...
Natural language privacy policies have become a de facto standard to address expectations of “notice...
A privacy policy is a legal document, used by websites to communicate how the personal data that the...
Website privacy policies are often long and difficult to understand. While research shows that Inter...