Publish/subscribe notification middleware for vehicular networks. - Ilias Leontiadis (Middleware (Doctoral Symposium), 2007)

Opportunistic spatio-temporal dissemination system for vehicular networks. - Ilias Leontiadis; Cecilia Mascolo (MobiOpp@MobiSys, 2007)

GeOpps: Geographical Opportunistic Routing for Vehicular Networks. - Ilias Leontiadis; Cecilia Mascolo (WOWMOM, 2007)

Persistent Content-based Information Dissemination in Hybrid Vehicular Networks. - Ilias Leontiadis; Paolo Costa; Cecilia Mascolo (PerCom, 2009)

A hybrid approach for content-based publish/subscribe in vehicular networks. - Ilias Leontiadis; Paolo Costa; Cecilia Mascolo (Pervasive Mob. Comput., 2009)

Extending Access Point Connectivity through Opportunistic Routing in Vehicular Networks. - Ilias Leontiadis; Paolo Costa; Cecilia Mascolo (INFOCOM, 2010)

A shared sensor network infrastructure. - Christos Efstratiou; Ilias Leontiadis; Cecilia Mascolo; Jon Crowcroft (SenSys, 2010)

A content dissemination framework for vehicular networking. - Ilias Leontiadis (2010)

SpotME If You Can: Randomized Responses for Location Obfuscation on Mobile Phones. - Daniele Quercia; Ilias Leontiadis; Liam McNamara; Cecilia Mascolo; Jon Crowcroft (ICDCS, 2011)

Understanding robustness of mobile networks through temporal network measures. - Salvatore Scellato; Ilias Leontiadis; Cecilia Mascolo; Prithwish Basu; Murtaza Zafer (INFOCOM, 2011)

On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks. - Ilias Leontiadis; Gustavo Marfia; David Mack; Giovanni Pau 001; Cecilia Mascolo; Mario Gerla (IEEE Trans. Intell. Transp. Syst., 2011)

SenShare: Transforming Sensor Networks into Multi-application Sensing Infrastructures. - Ilias Leontiadis; Christos Efstratiou; Cecilia Mascolo; Jon Crowcroft (EWSN, 2012)

Sense and Sensibility in a Pervasive World. - Christos Efstratiou; Ilias Leontiadis; Marco Picone; Kiran K. Rachuri; Cecilia Mascolo; Jon Crowcroft (Pervasive, 2012)

Don't kill my ads!: balancing privacy in an ad-supported mobile application market. - Ilias Leontiadis; Christos Efstratiou; Marco Picone; Cecilia Mascolo (HotMobile, 2012)

Application Scenarios. - Ilias Leontiadis; Ettore Ferranti; Cecilia Mascolo; Liam McNamara; Bence Pásztor; Niki Trigoni; Sonia Waharte (Mobile Ad Hoc Networking, 2013)

METIS: Exploring mobile phone sensing offloading for efficiently supporting social sensing applications. - Kiran K. Rachuri; Christos Efstratiou; Ilias Leontiadis; Cecilia Mascolo; Peter J. Rentfrow (PerCom, 2013)

Applications of Temporal Graph Metrics to Real-World Networks - John Kit Tang; Ilias Leontiadis; Salvatore Scellato; Vincenzo Nicosia; Cecilia Mascolo; Mirco Musolesi; Vito Latora (CoRR, 2013)

Evaluating Temporal Robustness of Mobile Networks. - Salvatore Scellato; Ilias Leontiadis; Cecilia Mascolo; Prithwish Basu; Murtaza Zafer (IEEE Trans. Mob. Comput., 2013)

From Cells to Streets: Estimating Mobile Paths with Cellular-Side Data. - Ilias Leontiadis; Antonio Lima; Haewoon Kwak; Rade Stanojevic; David Wetherall; Konstantina Papagiannaki (CoNEXT, 2014)

The Cost of the "S" in HTTPS. - David Naylor; Alessandro Finamore; Ilias Leontiadis; Yan Grunenberger; Marco Mellia; Maurizio M. Munafò; Konstantina Papagiannaki; Peter Steenkiste (CoNEXT, 2014)

Tracking serendipitous interactions: how individual cultures shape the office. - Chloë Brown; Christos Efstratiou; Ilias Leontiadis; Daniele Quercia; Cecilia Mascolo (CSCW, 2014)

The architecture of innovation: tracking face-to-face interactions with ubicomp technologies. - Chloë Brown; Christos Efstratiou; Ilias Leontiadis; Daniele Quercia; Cecilia Mascolo; James Scott; Peter B. Key (UbiComp, 2014)

mPlane: an intelligent measurement plane for the internet. - Brian Trammell; Pedro Casas; Dario Rossi 001; Arian Bär; Zied Ben-Houidi; Ilias Leontiadis; Tivadar Szemethy; Marco Mellia (IEEE Commun. Mag., 2014)

Smartphone sensing offloading for efficiently supporting social sensing applications. - Kiran K. Rachuri; Christos Efstratiou; Ilias Leontiadis; Cecilia Mascolo; Peter J. Rentfrow (Pervasive Mob. Comput., 2014)

Identifying the root cause of video streaming issues on mobile devices. - Giorgos Dimopoulos; Ilias Leontiadis; Pere Barlet-Ros; Konstantina Papagiannaki; Peter Steenkiste (CoNEXT, 2015)

Multi-Context TLS (mcTLS): Enabling Secure In-Network Functionality in TLS. - David Naylor; Kyle Schomp; Matteo Varvello; Ilias Leontiadis; Jeremy Blackburn; Diego R. López; Konstantina Papagiannaki; Pablo Rodríguez Rodríguez; Peter Steenkiste (SIGCOMM, 2015)

Measuring Video QoE from Encrypted Traffic. - Giorgos Dimopoulos; Ilias Leontiadis; Pere Barlet-Ros; Konstantina Papagiannaki (Internet Measurement Conference, 2016)

A Longitudinal Measurement Study of 4chan's Politically Incorrect Forum and its Effect on the Web. - Gabriel Emile Hine; Jeremiah Onaolapo; Emiliano De Cristofaro; Nicolas Kourtellis; Ilias Leontiadis; Riginos Samaras; Gianluca Stringhini; Jeremy Blackburn (CoRR, 2016)

Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words. - Joan Serrà; Ilias Leontiadis; Dimitris Spathis; Gianluca Stringhini; Jeremy Blackburn; Athena Vakali (ALW@ACL, 2017)

The Good, the Bad, and the KPIs: How to Combine Performance Metrics to Better Capture Underperforming Sectors in Mobile Networks. - Ilias Leontiadis; Joan Serrà; Alessandro Finamore; Giorgos Dimopoulos; Konstantina Papagiannaki (ICDE, 2017)

Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators. - Joan Serrà; Ilias Leontiadis; Alexandros Karatzoglou; Konstantina Papagiannaki (ICDE, 2017)

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; Ilias Leontiadis; Riginos Samaras; Gianluca Stringhini; Jeremy Blackburn (ICWSM, 2017)

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 Kourtellis; Ilias Leontiadis; Michael Sirivianos; Gianluca Stringhini; Jeremy Blackburn (Internet Measurement Conference, 2017)

Detecting network performance anomalies with contextual anomaly detection. - Giorgos Dimopoulos; Pere Barlet-Ros; Constantine Dovrolis; Ilias Leontiadis (M&N, 2017)

Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions. - Kleomenis Katevas; Ilias Leontiadis; Martin Pielot; Joan Serrà (EMDL@MobiSys, 2017)

Continual Prediction of Notification Attendance with Classical and Deep Network Approaches. - Kleomenis Katevas; Ilias Leontiadis; Martin Pielot; Joan Serrà (CoRR, 2017)

LOBO: Evaluation of Generalization Deficiencies in Twitter Bot Classifiers. - Juan Echeverría; Emiliano De Cristofaro; Nicolas Kourtellis; Ilias Leontiadis; Gianluca Stringhini; Shi Zhou (ACSAC, 2018)

There goes Wally: Anonymously sharing your location gives you away. - Apostolos Pyrgelis; Nicolas Kourtellis; Ilias Leontiadis; Joan Serrà; Claudio Soriente (IEEE BigData, 2018)

Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior. - Antigoni-Maria Founta; Constantinos Djouvas; Despoina Chatzakou; Ilias Leontiadis; Jeremy Blackburn; Gianluca Stringhini; Athena Vakali; Michael Sirivianos; Nicolas Kourtellis (ICWSM, 2018)

A First Look at SIM-Enabled Wearables in the Wild. - Harini Kolamunna; Ilias Leontiadis; Diego Perino; Suranga Seneviratne; Kanchana Thilakarathna; Aruna Seneviratne (Internet Measurement Conference, 2018)

CHIMP: Crowdsourcing Human Inputs for Mobile Phones. - Mário Almeida; Muhammad Bilal 007; Alessandro Finamore; Ilias Leontiadis; Yan Grunenberger; Matteo Varvello; Jeremy Blackburn (WWW, 2018)

A Reality Check on Inference at Mobile Networks Edge. - Alejandro Cartas; Martin Kocour; Aravindh Raman; Ilias Leontiadis; Jordi Luque; Nishanth Sastry; José Núñez-Martínez; Diego Perino; Carlos Segura (EdgeSys@EuroSys, 2019)

Learning from Industrial Ixperimental Research. - Ilias Leontiadis; Diego Perino (WiNTECH, 2019)

Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing. - Kleomenis Katevas; Katrin Hänsel; Richard G. Clegg; Ilias Leontiadis; Hamed Haddadi; Laurissa N. Tokarchuk (SenSys-ML, 2019)

A Unified Deep Learning Architecture for Abuse Detection. - Antigoni-Maria Founta; Despoina Chatzakou; Nicolas Kourtellis; Jeremy Blackburn; Athena Vakali; Ilias Leontiadis (WebSci, 2019)

Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube. - Kostantinos Papadamou; Antonis Papasavva; Savvas Zannettou; Jeremy Blackburn; Nicolas Kourtellis; Ilias Leontiadis; Gianluca Stringhini; Michael Sirivianos (CoRR, 2019)

EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices. - Mário Almeida; Stefanos Laskaridis; Ilias Leontiadis; Stylianos I. Venieris; Nicholas D. Lane (CoRR, 2019)

"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks. - Enrico Mariconti; Guillermo Suarez-Tangil; Jeremy Blackburn; Emiliano De Cristofaro; Nicolas Kourtellis; Ilias Leontiadis; Jordi Luque Serrano; Gianluca Stringhini (Proc. ACM Hum. Comput. Interact., 2019)

Learning to Listen... On-Device: Present and future perspectives of on-device ASR. - Ravichander Vipperla; Samin Ishtiaq; Rui Li 052; Sourav Bhattacharya; Ilias Leontiadis; Nicholas D. Lane (GetMobile Mob. Comput. Commun., 2019)

Detecting Cyberbullying and Cyberaggression in Social Media. - Despoina Chatzakou; Ilias Leontiadis; Jeremy Blackburn; Emiliano De Cristofaro; Gianluca Stringhini; Athena Vakali; Nicolas Kourtellis (ACM Trans. Web, 2019)

A Self-Attentive Emotion Recognition Network. - Harris Partaourides; Kostantinos Papadamou; Nicolas Kourtellis; Ilias Leontiadis; Sotirios Chatzis (ICASSP, 2020)

Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children. - Kostantinos Papadamou; Antonis Papasavva; Savvas Zannettou; Jeremy Blackburn; Nicolas Kourtellis; Ilias Leontiadis; Gianluca Stringhini; Michael Sirivianos (ICWSM, 2020)

SPINN: synergistic progressive inference of neural networks over device and cloud. - Stefanos Laskaridis; Stylianos I. Venieris; Mário Almeida; Ilias Leontiadis; Nicholas D. Lane (MobiCom, 2020)

Experience: advanced network operations in (Un)-connected remote communities. - Diego Perino; Xiaoyuan Yang; Joan Serrà; Andra Lutu; Ilias Leontiadis (MobiCom, 2020)

DarkneTZ: towards model privacy at the edge using trusted execution environments. - Fan Mo 004; Ali Shahin Shamsabadi; Kleomenis Katevas; Soteris Demetriou; Ilias Leontiadis; Andrea Cavallaro; Hamed Haddadi (MobiSys, 2020)

A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web. - Ralph Holz; Diego Perino; Matteo Varvello; Johanna Amann; Andrea Continella; Nate Evans; Ilias Leontiadis; Christopher Natoli; Quirin Scheitle (TMA, 2020)

How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures. - Stylianos I. Venieris; Ioannis Panopoulos; Ilias Leontiadis; Iakovos S. Venieris (ASAP, 2021)

Smart at what cost?: characterising mobile deep neural networks in the wild. - Mário Almeida; Stefanos Laskaridis; Abhinav Mehrotra; Lukasz Dudziak; Ilias Leontiadis; Nicholas D. Lane (Internet Measurement Conference, 2021)

FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. - Samuel Horváth; Stefanos Laskaridis; Mário Almeida; Ilias Leontiadis; Stylianos I. Venieris; Nicholas D. Lane (NeurIPS, 2021)

It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. - Ilias Leontiadis; Stefanos Laskaridis; Stylianos I. Venieris; Nicholas D. Lane (HotMobile, 2021)

FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning. - Meisam Hejazinia; Dzmitry Huba; Ilias Leontiadis; Kiwan Maeng; Mani Malek 001; Luca Melis; Ilya Mironov; Milad Nasr; Kaikai Wang; Carole-Jean Wu (CoRR, 2022)

DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. - Mário Almeida; Stefanos Laskaridis; Stylianos I. Venieris; Ilias Leontiadis; Nicholas D. Lane (ACM Trans. Embed. Comput. Syst., 2022)

EXACT: Extensive Attack for Split Learning. - Xinchi Qiu; Ilias Leontiadis; Luca Melis; Alexandre Sablayrolles; Pierre Stock (CoRR, 2023)

Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems. - Meisam Hejazinia; Dzmitry Huba; Ilias Leontiadis; Kiwan Maeng; Mani Malek 001; Luca Melis; Ilya Mironov; Milad Nasr; Kaikai Wang; Carole-Jean Wu (IEEE Data Eng. Bull., 2023)

GPU-based Private Information Retrieval for On-Device Machine Learning Inference. - Maximilian Lam; Jeff Johnson 004; Wenjie Xiong 001; Kiwan Maeng; Udit Gupta; Yang Li 183; Liangzhen Lai; Ilias Leontiadis; Minsoo Rhu; Hsien-Hsin S. Lee; Vijay Janapa Reddi; Gu-Yeon Wei; et al. (ASPLOS (1), 2024)