World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5609
World Ranking
12088
National Ranking
4922

Overview

Ilias Leontiadis is affiliated with Facebook in the United States and has contributed extensively to the field of computer science, with a focus on artificial intelligence, computer networks and communications, and information systems. Their academic work spans several interdisciplinary subfields, including sociology and political science, as well as computer vision and pattern recognition.

Their research topics cover a range of areas such as spam and phishing detection, sentiment analysis and opinion mining, misinformation and its impacts, privacy-preserving technologies in data, age of information optimization, IoT and edge/fog computing, and child development and digital technology.

Leontiadis has published in numerous venues, with frequent contributions to arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), the Proceedings of the International AAAI Conference on Web and Social Media, ACM Transactions on Embedded Computing Systems, and GetMobile Mobile Computing and Communications.

Recent papers authored or co-authored by Leontiadis include:

  • "Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children" (2020), Proceedings of the International AAAI Conference on Web and Social Media
  • "FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout" (2021), arXiv (Cornell University)
  • "DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device" (2022), ACM Transactions on Embedded Computing Systems
  • "It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation" (2021), arXiv (Cornell University)

Leontiadis frequently collaborates with researchers such as Jeremy Blackburn, Nicolas Kourtellis, Gianluca Stringhini, Michael Sirivianos, and Stefanos Laskaridis, indicating a collaborative presence within their research community.

Best Publications

  • Large scale crowdsourcing and characterization of twitter abusive behavior

    Antigoni Maria Founta;Constantinos Djouvas;Despoina Chatzakou;Ilias Leontiadis

  • GeOpps: Geographical Opportunistic Routing for Vehicular Networks

    Ilias Leontiadis;Cecilia Mascolo

  • Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and its Effects on the Web

    Gabriel Emile Hine;Jeremiah Onaolapo;Emiliano De Cristofaro;Nicolas Kourtellis

  • The Cost of the "S" in HTTPS

    David Naylor;Alessandro Finamore;Ilias Leontiadis;Yan Grunenberger

  • SPINN: synergistic progressive inference of neural networks over device and cloud

    Stefanos Laskaridis;Stylianos I. Venieris;Mario Almeida;Ilias Leontiadis

  • A Unified Deep Learning Architecture for Abuse Detection

    Antigoni Maria Founta;Despoina Chatzakou;Nicolas Kourtellis;Jeremy Blackburn

  • On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks

    I. Leontiadis;G. Marfia;D. Mack;G. Pau

  • Don't kill my ads!: balancing privacy in an ad-supported mobile application market

    Ilias Leontiadis;Christos Efstratiou;Marco Picone;Cecilia Mascolo

  • The web centipede: understanding how web communities influence each other through the lens of mainstream and alternative news sources

    Savvas Zannettou;Tristan Caulfield;Emiliano De Cristofaro;Nicolas Kourtelris

  • Measuring Video QoE from Encrypted Traffic

    Giorgos Dimopoulos;Ilias Leontiadis;Pere Barlet-Ros;Konstantina Papagiannaki

  • Multi-Context TLS (mcTLS): Enabling Secure In-Network Functionality in TLS

    David Naylor;Kyle Schomp;Matteo Varvello;Ilias Leontiadis

  • DarkneTZ: towards model privacy at the edge using trusted execution environments

    Fan Mo;Ali Shahin Shamsabadi;Kleomenis Katevas;Soteris Demetriou

  • SenShare: transforming sensor networks into multi-application sensing infrastructures

    Ilias Leontiadis;Christos Efstratiou;Cecilia Mascolo;Jon Crowcroft

  • Opportunistic spatio-temporal dissemination system for vehicular networks

    Ilias Leontiadis;Cecilia Mascolo

  • Disturbed YouTube for kids: characterizing and detecting inappropriate videos targeting young children

    Kostantinos Papadamou;Antonis Papasavva;Savvas Zannettou;Jeremy Blackburn

  • Detecting Cyberbullying and Cyberaggression in Social Media

    Despoina Chatzakou;Ilias Leontiadis;Jeremy Blackburn;Emiliano De Cristofaro

  • Extending Access Point Connectivity through Opportunistic Routing in Vehicular Networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • SpotME If You Can: Randomized Responses for Location Obfuscation on Mobile Phones

    Daniele Quercia;Ilias Leontiadis;Liam McNamara;Cecilia Mascolo

  • Persistent content-based information dissemination in hybrid vehicular networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • "You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks

    E Mariconti;G Suarez-Tangil;J Blackburn;ED Cristofaro

  • A hybrid approach for content-based publish/subscribe in vehicular networks

    Ilias Leontiadis;Paolo Costa;Cecilia Mascolo

  • Tracking serendipitous interactions: how individual cultures shape the office

    Chloë Brown;Christos Efstratiou;Ilias Leontiadis;Daniele Quercia

Frequent Co-Authors

Nicolas Kourtellis
Nicolas Kourtellis Telefónica (Spain)
Jeremy Blackburn
Jeremy Blackburn Binghamton University
Cecilia Mascolo
Cecilia Mascolo University of Cambridge
Gianluca Stringhini
Gianluca Stringhini Boston University
Emiliano De Cristofaro
Emiliano De Cristofaro University of California, Riverside
Nicholas D. Lane
Nicholas D. Lane University of Cambridge
Konstantina Papagiannaki
Konstantina Papagiannaki Google (United States)
Dario Rossi
Dario Rossi Télécom ParisTech
Athena Vakali
Athena Vakali Aristotle University of Thessaloniki
Marco Mellia
Marco Mellia Polytechnic University of Turin

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