Ilias Leontiadis

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 61

Top Venues

CoRR

Internet Measurement Conference

CoNEXT

ICWSM

University College London, UK (PHD)

Education History

University College London, UK

PHD

Publications

Maximilian Lam, Jeff Johnson, Wenjie Xiong, Kiwan Maeng, Udit Gupta, Yang Li, Liangzhen Lai, Ilias Leontiadis, Minsoo Rhu, Hsien-Hsin S. Lee, Vijay Janapa Reddi, Gu-Yeon Wei, David Brooks, G. Edward Suh
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. ASPLOS (1) (2024)
Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alexandre Sablayrolles, Pierre Stock
EXACT: Extensive Attack for Split Learning. CoRR (2023)
Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu
Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems. IEEE Data Eng. Bull. 46 (1) (2023)
Meisam Hejazinia, Dzmitry Huba, Ilias Leontiadis, Kiwan Maeng, Mani Malek, Luca Melis, Ilya Mironov, Milad Nasr, Kaikai Wang, Carole-Jean Wu
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning. CoRR (2022)
Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. ACM Trans. Embed. Comput. Syst. 21 (6) (2022)
Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. HotMobile (2021)
Stylianos I. Venieris, Ioannis Panopoulos, Ilias Leontiadis, Iakovos S. Venieris
How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures. ASAP (2021)
Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild. CoRR (2021)
Samuel Horvath, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. CoRR (2021)
Samuel Horváth, Stefanos Laskaridis, Mário Almeida, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. NeurIPS (2021)
Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. CoRR (2021)
Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. CoRR (2021)
Mário Almeida, Stefanos Laskaridis, Abhinav Mehrotra, Lukasz Dudziak, Ilias Leontiadis, Nicholas D. Lane
Smart at what cost?: characterising mobile deep neural networks in the wild. Internet Measurement Conference (2021)
Stylianos I. Venieris, Ioannis Panopoulos, Ilias Leontiadis, Iakovos S. Venieris
How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures. CoRR (2021)
Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane
SPINN: synergistic progressive inference of neural networks over device and cloud. MobiCom (2020)
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments. CoRR (2020)
Ralph Holz, Diego Perino, Matteo Varvello, Johanna Amann, Andrea Continella, Nate Evans, Ilias Leontiadis, Christopher Natoli, Quirin Scheitle
A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web. CoRR (2020)
Kostantinos Papadamou, Antonis Papasavva, Savvas Zannettou, Jeremy Blackburn, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Michael Sirivianos
Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children. ICWSM (2020)
Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud. CoRR (2020)
Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Soteris Demetriou, Ilias Leontiadis, Andrea Cavallaro, Hamed Haddadi
DarkneTZ: towards model privacy at the edge using trusted execution environments. MobiSys (2020)
Diego Perino, Xiaoyuan Yang, Joan Serrà, Andra Lutu, Ilias Leontiadis
Experience: advanced network operations in (Un)-connected remote communities. MobiCom (2020)
Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis, Ilias Leontiadis, Sotirios Chatzis
A Self-Attentive Emotion Recognition Network. ICASSP (2020)
Ralph Holz, Diego Perino, Matteo Varvello, Johanna Amann, Andrea Continella, Nate Evans, Ilias Leontiadis, Christopher Natoli, Quirin Scheitle
A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web. TMA (2020)
Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Athena Vakali, Nicolas Kourtellis
Detecting Cyberbullying and Cyberaggression in Social Media. CoRR (2019)
Kostantinos Papadamou, Antonis Papasavva, Savvas Zannettou, Jeremy Blackburn, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Michael Sirivianos
Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube. CoRR (2019)
Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Athena Vakali, Nicolas Kourtellis
Detecting Cyberbullying and Cyberaggression in Social Media. ACM Trans. Web 13 (3) (2019)
Kleomenis Katevas, Katrin Hänsel, Richard G. Clegg, Ilias Leontiadis, Hamed Haddadi, Laurissa N. Tokarchuk
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing. SenSys-ML (2019)
Antigoni-Maria Founta, Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Athena Vakali, Ilias Leontiadis
A Unified Deep Learning Architecture for Abuse Detection. WebSci (2019)
Alejandro Cartas, Martin Kocour, Aravindh Raman, Ilias Leontiadis, Jordi Luque, Nishanth Sastry, José Núñez-Martínez, Diego Perino, Carlos Segura
A Reality Check on Inference at Mobile Networks Edge. EdgeSys@EuroSys (2019)
Mário Almeida, Stefanos Laskaridis, Ilias Leontiadis, Stylianos I. Venieris, Nicholas D. Lane
EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices. CoRR (2019)
Enrico Mariconti, Guillermo Suarez-Tangil, Jeremy Blackburn, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Jordi Luque Serrano, Gianluca Stringhini
"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks. Proc. ACM Hum. Comput. Interact. 3 (CSCW) (2019)
Ravichander Vipperla, Samin Ishtiaq, Rui Li, Sourav Bhattacharya, Ilias Leontiadis, Nicholas D. Lane
Learning to Listen... On-Device: Present and future perspectives of on-device ASR. GetMobile Mob. Comput. Commun. 23 (4) (2019)
Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis, Ilias Leontiadis, Sotirios Chatzis
A Self-Attentive Emotion Recognition Network. CoRR (2019)
Ilias Leontiadis, Diego Perino
Learning from Industrial Ixperimental Research. WiNTECH@MOBICOM (2019)
Antigoni-Maria Founta, Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Athena Vakali, Ilias Leontiadis
A Unified Deep Learning Architecture for Abuse Detection. CoRR (2018)
Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos, Nicolas Kourtellis
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior. ICWSM (2018)
Mário Almeida, Muhammad Bilal, Alessandro Finamore, Ilias Leontiadis, Yan Grunenberger, Matteo Varvello, Jeremy Blackburn
CHIMP: Crowdsourcing Human Inputs for Mobile Phones. WWW (2018)
Juan Echeverría, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Shi Zhou
LOBO: Evaluation of Generalization Deficiencies in Twitter Bot Classifiers. ACSAC (2018)
Enrico Mariconti, Guillermo Suarez-Tangil, Jeremy Blackburn, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Jordi Luque Serrano, Gianluca Stringhini
"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks. CoRR (2018)
Juan Echeverría, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Shi Zhou
LOBO - Evaluation of Generalization Deficiencies in Twitter Bot Classifiers. CoRR (2018)
Antigoni-Maria Founta, Constantinos Djouvas, Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Gianluca Stringhini, Athena Vakali, Michael Sirivianos, Nicolas Kourtellis
Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior. CoRR (2018)
Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serrà, Claudio Soriente
There goes Wally: Anonymously sharing your location gives you away. CoRR (2018)
Kleomenis Katevas, Katrin Hänsel, Richard G. Clegg, Ilias Leontiadis, Hamed Haddadi, Laurissa N. Tokarchuk
Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing. CoRR (2018)
Harini Kolamunna, Ilias Leontiadis, Diego Perino, Suranga Seneviratne, Kanchana Thilakarathna, Aruna Seneviratne
A First Look at SIM-Enabled Wearables in the Wild. Internet Measurement Conference (2018)
Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serrà, Claudio Soriente
There goes Wally: Anonymously sharing your location gives you away. IEEE BigData (2018)
Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions. EMDL@MobiSys (2017)
Giorgos Dimopoulos, Pere Barlet-Ros, Constantine Dovrolis, Ilias Leontiadis
Detecting network performance anomalies with contextual anomaly detection. M&N (2017)
Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions. CoRR (2017)
Savvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn
The web centipede: understanding how web communities influence each other through the lens of mainstream and alternative news sources. Internet Measurement Conference (2017)
Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki
Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators. ICDE (2017)
Ilias Leontiadis, Joan Serrà, Alessandro Finamore, Giorgos Dimopoulos, Konstantina Papagiannaki
The Good, the Bad, and the KPIs: How to Combine Performance Metrics to Better Capture Underperforming Sectors in Mobile Networks. ICDE (2017)
Savvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Michael Sirivianos, Gianluca Stringhini, Jeremy Blackburn
The Web Centipede: Understanding How Web Communities Influence Each Other Through the Lens of Mainstream and Alternative News Sources. CoRR (2017)
Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà
Continual Prediction of Notification Attendance with Classical and Deep Network Approaches. CoRR (2017)
Gabriel Emile Hine, Jeremiah Onaolapo, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Riginos Samaras, Gianluca Stringhini, Jeremy Blackburn
Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and Its Effects on the Web. ICWSM (2017)
Joan Serrà, Ilias Leontiadis, Dimitris Spathis, Gianluca Stringhini, Jeremy Blackburn, Athena Vakali
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words. ALW@ACL (2017)
Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki
Hot or not? Forecasting cellular network hot spots using sector performance indicators. CoRR (2017)
Gabriel Emile Hine, Jeremiah Onaolapo, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Riginos Samaras, Gianluca Stringhini, Jeremy Blackburn
A Longitudinal Measurement Study of 4chan's Politically Incorrect Forum and its Effect on the Web. CoRR (2016)
Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki
Measuring Video QoE from Encrypted Traffic. Internet Measurement Conference (2016)
David Naylor, Kyle Schomp, Matteo Varvello, Ilias Leontiadis, Jeremy Blackburn, Diego R. López, Konstantina Papagiannaki, Pablo Rodríguez Rodríguez, Peter Steenkiste
Multi-Context TLS (mcTLS): Enabling Secure In-Network Functionality in TLS. SIGCOMM (2015)
Pablo Rodríguez Rodríguez, Kyle Schomp, Jeremy Blackburn, Peter Steenkiste, Konstantina Papagiannaki, Matteo Varvello, Ilias Leontiadis, Diego R. López, David Naylor
Multi-Context TLS (mcTLS): Enabling Secure In-Network Functionality in TLS. Computer Communication Review (2015)
Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki, Peter Steenkiste
Identifying the root cause of video streaming issues on mobile devices. CoNEXT (2015)
Ilias Leontiadis, Antonio Lima, Haewoon Kwak, Rade Stanojevic, David Wetherall, Konstantina Papagiannaki
From Cells to Streets: Estimating Mobile Paths with Cellular-Side Data. CoNEXT (2014)
Brian Trammell, Pedro Casas, Dario Rossi, Arian Bär, Zied Ben-Houidi, Ilias Leontiadis, Tivadar Szemethy, Marco Mellia
mPlane: an intelligent measurement plane for the internet. IEEE Commun. Mag. 52 (5) (2014)
Kiran K. Rachuri, Christos Efstratiou, Ilias Leontiadis, Cecilia Mascolo, Peter J. Rentfrow
Smartphone sensing offloading for efficiently supporting social sensing applications. Pervasive Mob. Comput. 10 (2014)
Chloë Brown, Christos Efstratiou, Ilias Leontiadis, Daniele Quercia, Cecilia Mascolo, James Scott, Peter B. Key
The architecture of innovation: Tracking face-to-face interactions with ubicomp technologies. CoRR (2014)
David Naylor, Alessandro Finamore, Ilias Leontiadis, Yan Grunenberger, Marco Mellia, Maurizio M. Munafò, Konstantina Papagiannaki, Peter Steenkiste
The Cost of the "S" in HTTPS. CoNEXT (2014)
Chloë Brown, Christos Efstratiou, Ilias Leontiadis, Daniele Quercia, Cecilia Mascolo
Tracking serendipitous interactions: how individual cultures shape the office. CSCW (2014)
Chloë Brown, Christos Efstratiou, Ilias Leontiadis, Daniele Quercia, Cecilia Mascolo, James Scott, Peter B. Key
The architecture of innovation: tracking face-to-face interactions with ubicomp technologies. UbiComp (2014)
Salvatore Scellato, Ilias Leontiadis, Cecilia Mascolo, Prithwish Basu, Murtaza Zafer
Evaluating Temporal Robustness of Mobile Networks. IEEE Trans. Mob. Comput. 12 (1) (2013)
Chloë Brown, Christos Efstratiou, Ilias Leontiadis, Daniele Quercia, Cecilia Mascolo
Tracking Serendipitous Interactions: How Individual Cultures Shape the Office. CoRR (2013)
Kiran K. Rachuri, Christos Efstratiou, Ilias Leontiadis, Cecilia Mascolo, Peter J. Rentfrow
METIS: Exploring mobile phone sensing offloading for efficiently supporting social sensing applications. PerCom (2013)
John Kit Tang, Ilias Leontiadis, Salvatore Scellato, Vincenzo Nicosia, Cecilia Mascolo, Mirco Musolesi, Vito Latora
Applications of Temporal Graph Metrics to Real-World Networks CoRR (2013)
Christos Efstratiou, Ilias Leontiadis, Marco Picone, Kiran K. Rachuri, Cecilia Mascolo, Jon Crowcroft
Sense and Sensibility in a Pervasive World. Pervasive (2012)
Ilias Leontiadis, Christos Efstratiou, Cecilia Mascolo, Jon Crowcroft
SenShare: Transforming Sensor Networks into Multi-application Sensing Infrastructures. EWSN (2012)
Ilias Leontiadis, Christos Efstratiou, Marco Picone, Cecilia Mascolo
Don't kill my ads!: balancing privacy in an ad-supported mobile application market. HotMobile (2012)
Ilias Leontiadis, Gustavo Marfia, David Mack, Giovanni Pau, Cecilia Mascolo, Mario Gerla
On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 12 (4) (2011)
Salvatore Scellato, Ilias Leontiadis, Cecilia Mascolo, Prithwish Basu, Murtaza Zafer
Understanding robustness of mobile networks through temporal network measures. INFOCOM (2011)
Daniele Quercia, Ilias Leontiadis, Liam McNamara, Cecilia Mascolo, Jon Crowcroft
SpotME If You Can: Randomized Responses for Location Obfuscation on Mobile Phones. ICDCS (2011)
Ilias Leontiadis, Paolo Costa, Cecilia Mascolo
Extending Access Point Connectivity through Opportunistic Routing in Vehicular Networks. INFOCOM (2010)
Christos Efstratiou, Ilias Leontiadis, Cecilia Mascolo, Jon Crowcroft
A shared sensor network infrastructure. SenSys (2010)
Ilias Leontiadis, Paolo Costa, Cecilia Mascolo
A hybrid approach for content-based publish/subscribe in vehicular networks. Pervasive Mob. Comput. 5 (6) (2009)
Ilias Leontiadis, Paolo Costa, Cecilia Mascolo
Persistent Content-based Information Dissemination in Hybrid Vehicular Networks. PerCom (2009)
Ilias Leontiadis
Publish/subscribe notification middleware for vehicular networks. Middleware (Doctoral Symposium) (2007)
Ilias Leontiadis, Cecilia Mascolo
Opportunistic spatio-temporal dissemination system for vehicular networks. MobiOpp@MobiSys (2007)
Ilias Leontiadis, Cecilia Mascolo
GeOpps: Geographical Opportunistic Routing for Vehicular Networks. WOWMOM (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Ilias Leontiadis