Search Results for author: Ilias Leontiadis

Found 18 papers, 3 papers with code

Smart at what cost? Characterising Mobile Deep Neural Networks in the wild

no code implementations28 Sep 2021 Mario Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane

To this end, we analyse over 16k of the most popular apps in the Google Play Store to characterise their DNN usage and performance across devices of different capabilities, both across tiers and generations.

How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures

no code implementations21 Jun 2021 Stylianos I. Venieris, Ioannis Panopoulos, Ilias Leontiadis, Iakovos S. Venieris

Collectively, these results highlight the critical need for further exploration as to how the various cross-stack solutions can be best combined in order to bring the latest advances in deep learning close to users, in a robust and efficient manner.

Speech Recognition

DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device

no code implementations20 Apr 2021 Mario Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane

Recently, there has been an explosive growth of mobile and embedded applications using convolutional neural networks(CNNs).

It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation

no code implementations2 Feb 2021 Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane

On-device machine learning is becoming a reality thanks to the availability of powerful hardware and model compression techniques.

Model Compression

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

no code implementations14 Aug 2020 Stefanos Laskaridis, Stylianos I. Venieris, Mario Almeida, Ilias Leontiadis, Nicholas D. Lane

Despite the soaring use of convolutional neural networks (CNNs) in mobile applications, uniformly sustaining high-performance inference on mobile has been elusive due to the excessive computational demands of modern CNNs and the increasing diversity of deployed devices.

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

2 code implementations12 Apr 2020 Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi

We present DarkneTZ, a framework that uses an edge device's Trusted Execution Environment (TEE) in conjunction with model partitioning to limit the attack surface against Deep Neural Networks (DNNs).

Image Classification

Detecting Cyberbullying and Cyberaggression in Social Media

no code implementations20 Jul 2019 Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Athena Vakali, Nicolas Kourtellis

We also explore specific manifestations of abusive behavior, i. e., cyberbullying and cyberaggression, in one of the hate-related communities (Gamergate).

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

no code implementations17 May 2019 Mario Almeida, Stefanos Laskaridis, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane

In recent years, advances in deep learning have resulted in unprecedented leaps in diverse tasks spanning from speech and object recognition to context awareness and health monitoring.

Object Recognition

A Self-Attentive Emotion Recognition Network

1 code implementation24 Apr 2019 Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis, Ilias Leontiadis, Sotirios Chatzis

Modern deep learning approaches have achieved groundbreaking performance in modeling and classifying sequential data.

Emotion Recognition

A Unified Deep Learning Architecture for Abuse Detection

no code implementations1 Feb 2018 Antigoni-Maria Founta, Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Athena Vakali, Ilias Leontiadis

Hate speech, offensive language, sexism, racism and other types of abusive behavior have become a common phenomenon in many online social media platforms.

Abuse Detection

Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior

5 code implementations1 Feb 2018 Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos, Nicolas Kourtellis

In recent years, offensive, abusive and hateful language, sexism, racism and other types of aggressive and cyberbullying behavior have been manifesting with increased frequency, and in many online social media platforms.

Social and Information Networks 68T06 K.4.2

Continual Prediction of Notification Attendance with Classical and Deep Network Approaches

no code implementations19 Dec 2017 Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà

Besides using classical gradient-boosted trees, we demonstrate how to make continual predictions using a recurrent neural network (RNN).

Human-Computer Interaction

Hot or not? Forecasting cellular network hot spots using sector performance indicators

no code implementations18 Apr 2017 Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki

Our results indicate that, compared to the best baseline, tree-based models can deliver up to 14% better forecasts for regular hot spots and 153% better forecasts for non-regular hot spots.

The architecture of innovation: Tracking face-to-face interactions with ubicomp technologies

no code implementations26 Jun 2014 Chloë Brown, Christos Efstratiou, Ilias Leontiadis, Daniele Quercia, Cecilia Mascolo, James Scott, Peter Key

The layouts of the buildings we live in shape our everyday lives.

Computers and Society Human-Computer Interaction Social and Information Networks

Cannot find the paper you are looking for? You can Submit a new open access paper.