Ilias Leontiadis

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Senior Researcher- Mobile Systems, Networks, Machine Learning at Telefónica Research, Researcher at Telefónica Research from 2013-2017, Research Associate at University of Cambridge from 2009-2013, PhD Graduate at University College London from 2006-2009, Research Intern at Microsoft Research Cambridge from 2008-2009

Featured Co-authors

Emiliano De Cristofaro
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Jeremy Blackburn
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Nicholas D. Lane
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Nicolas Kourtellis
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Savvas Zannettou
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Joan Serrà
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Andrea Cavallaro
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Stylianos I. Venieris
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Ali Shahin Shamsabadi
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It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation

On-device machine learning is becoming a reality thanks to the availabil...
02/02/2021 ∙ by Ilias Leontiadis, et al. ∙ 0 ∙ share

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SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud

Despite the soaring use of convolutional neural networks (CNNs) in mobil...
08/14/2020 ∙ by Stefanos Laskaridis, et al. ∙ 9 ∙ share

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A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web

In late 2017, a sudden proliferation of malicious JavaScript was reporte...
04/28/2020 ∙ by Ralph Holz, et al. ∙ 0 ∙ share

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DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments

We present DarkneTZ, a framework that uses an edge device's Trusted Exec...
04/12/2020 ∙ by Fan Mo, et al. ∙ 20 ∙ share

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Detecting Cyberbullying and Cyberaggression in Social Media

Cyberbullying and cyberaggression are increasingly worrisome phenomena a...
07/20/2019 ∙ by Despoina Chatzakou, et al. ∙ 0 ∙ share

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EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices

In recent years, advances in deep learning have resulted in unprecedente...
05/17/2019 ∙ by Mario Almeida, et al. ∙ 5 ∙ share

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A Self-Attentive Emotion Recognition Network

Modern deep learning approaches have achieved groundbreaking performance...
04/24/2019 ∙ by Harris Partaourides, et al. ∙ 0 ∙ share

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Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube

A considerable number of the most-subscribed YouTube channels feature co...
01/21/2019 ∙ by Kostantinos Papadamou, et al. ∙ 0 ∙ share

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LOBO -- Evaluation of Generalization Deficiencies in Twitter Bot Classifiers

Botnets in online social networks are increasingly often affecting the r...
09/25/2018 ∙ by Juan Echeverría, et al. ∙ 0 ∙ share

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Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing

Remembering our day-to-day social interactions is challenging even if yo...
08/30/2018 ∙ by Kleomenis Katevas, et al. ∙ 0 ∙ share

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There goes Wally: Anonymously sharing your location gives you away

With current technology, a number of entities have access to user mobili...
06/07/2018 ∙ by Apostolos Pyrgelis, et al. ∙ 0 ∙ share

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

Over the years, the Web has shrunk the world, allowing individuals to sh...
05/21/2018 ∙ by Enrico Mariconti, et al. ∙ 0 ∙ share

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A Unified Deep Learning Architecture for Abuse Detection

Hate speech, offensive language, sexism, racism and other types of abusi...
02/01/2018 ∙ by Antigoni-Maria Founta, et al. ∙ 0 ∙ share

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Continual Prediction of Notification Attendance with Classical and Deep Network Approaches

We investigate to what extent mobile use patterns can predict -- at the ...
12/19/2017 ∙ by Kleomenis Katevas, et al. ∙ 0 ∙ share

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