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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.

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EphPub: Toward robust Ephemeral Publishing

TL;DR: In this paper, the authors present and formalize the notion of ephemeral publishing (EphPub) to prevent the access to expired content, where sensitive content is published encrypted and the key material is distributed, in a steganographic manner, to randomly selected and independent resolvers.
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Hate is not Binary: Studying Abusive Behavior of #GamerGate on Twitter

TL;DR: This paper analyzed the characteristics of abusive users and what distinguishes them from typical social media users, and found that while their tweets are often seemingly about aggressive and hateful subjects, "Gamergaters" do not exhibit common expressions of online anger, and in fact primarily differ from typical users in that their tweets were less joyful.

EsPRESSo: Efficient Privacy-Preserving Evaluation of Sample Set Similarity.

TL;DR: In this article, the authors present two protocols for the privacy-preserving evaluation of sample set similarity, where similarity is measured as the Jaccard index and MinHash is used to compute the similarity of two sets.
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Private Processing of Outsourced Network Functions: Feasibility and Constructions

TL;DR: In this paper, the authors investigate the use of cryptographic primitives for processing outsourced network functions, so that the provider does not learn any sensitive information, and propose a few instantiations using partial homomorphic encryption and public-key encryption with keyword search.
Proceedings ArticleDOI

Do I know you?: efficient and privacy-preserving common friend-finder protocols and applications

TL;DR: The Common Friends service is introduced, a framework for finding common friends which protects privacy of non-mutual friends and guarantees authenticity of friendships, and an efficient instantiation is proposed, based on Bloom filters, that only incurs a constant number of public-key operations and appreciably low communication overhead.