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Emiliano De Cristofaro
Researcher at University College London
Publications - 262
Citations - 9897
Emiliano De Cristofaro is an academic researcher from University College London. The author has contributed to research in topics: Social media & Computer science. The author has an hindex of 47, co-authored 251 publications receiving 7263 citations. Previous affiliations of Emiliano De Cristofaro include Boston University & Nokia.
Papers
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Journal ArticleDOI
The Chills and Thrills of Whole Genome Sequencing
TL;DR: In this article, the authors discuss some important privacy issues associated with human genomic information and identify a number of particularly relevant research challenges, and summarize recent advances in genomics, after summarizing recent advances.
Posted Content
Participatory Privacy: Enabling Privacy in Participatory Sensing
TL;DR: In this article, the authors focus on privacy protection in participatory sensing and introduce a suitable privacyenhanced infrastructure for mobile phone users, which incurs very low overhead, and discuss a number of open problems and possible research directions.
Posted Content
EphPub: Toward Robust Ephemeral Publishing
TL;DR: This paper presents and formalizes the notion of Ephemeral Publishing (EphPub), to prevent the access to expired content, and proposes an efficient and robust protocol that builds on the Domain Name System (DNS) and its caching mechanism.
Proceedings ArticleDOI
Measuring #GamerGate: A Tale of Hate, Sexism, and Bullying
Despoina Chatzakou,Nicolas Kourtellis,Jeremy Blackburn,Emiliano De Cristofaro,Gianluca Stringhini,Athena Vakali +5 more
TL;DR: A measurement study of a dataset of 340k unique users and 1.6M tweets to study the properties of these users, the content they post, and how they differ from random Twitter users finds that users involved in this ``Twitter war'' tend to have more friends and followers, and post tweets with negative sentiment, less joy, and more hate than random users.
Journal ArticleDOI
What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy
TL;DR: In this article, the authors evaluate the impact of releasing aggregate location time-series on the privacy of individuals contributing to the aggregation, and show that aggregates do leak information about individuals' punctual locations and mobility profiles.