Hamza Harkous

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I am a Ph.D. candidate at the Distributed Information Systems Lab of EPFL in Switzerland, supervised by Prof. Karl Aberer. My current research is on Data-Driven Privacy, where I work on content and context-aware techniques to assist end-users in guarding their online privacy. I have been applying this approach to automatically assess the sensitivity of users' data, to better inform them about the potential of adversaries, and to spot unwanted online content. I am currently investigating the usage of deep learning for developing new privacy enhancing technologies for textual and visual content.

privacy cloud computing google drive dropbox data mining cloud apps cloud apps ui analytics google user experience crowdsourcing technology epfl permissions chatbots messaging

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Hamza Harkous

Präsentationen

PriBots: Conversational Privacy with Chatbots (at SOUPS 2016)

Data Driven Privacy Indicators (at SOUPS 2016)

C3P: Context-Aware Crowdsourced Cloud Privacy (at PETS 2014)

Dissecting and Mitigating the Privacy Risk of Personal Cloud Apps (at PETS 2016)

A Usability Approach to Interdependent Privacy in Cloud Apps (at CODASPY 2017)