Publications

Method and apparatus for image segmentation

Alexandros KOURIS and Stylianos I VENIERIS and Stefanos LASKARIDIS and Ilias LEONTIADIS

US Patent 12,573,052, 2026, 2026

Balanced Accuracy: The Right Metric for Evaluating LLM Judges-Explained through Youden’s J statistic

Stephane Collot and Colin Fraser and Justin Zhao and William F Shen and Timon Willi and Ilias Leontiadis

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume 5: Industry Track), 2026 — Cited by 12

Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks

William F Shen and Xinchi Qiu and Chenxi Whitehouse and Lisa Alazraki and Shashwat Goel and Francesco Barbieri and Timon Willi and Akhil Mathur and Ilias Leontiadis

arXiv preprint arXiv:2602.05125, 2026 — Cited by 69

The Llama 4 Herd: Architecture, Training, Evaluation, and Deployment Notes

Aaron Adcock and Aayushi Srivastava and Abhimanyu Dubey and Abhinav Jauhri and Abhinav Pande and Abhinav Pandey and Abhinav Sharma and Abhishek Kadian and Abhishek Kumawat and Adam Kelsey and Adam Stelle and Adeel Cheema and Adela Kabiljo and Adina Katz and Adithya Gangidi and Aditya Tayade and Adolfo Victoria and Adrian Samatan Alastuey and Adrien Conrath and Afroz Mohiuddin and Ahmed Sharif and Ahnaf Siddiqui and Ahuva Goldstand and Aijung Li and Aidan Boyd and Aidin Kazemi Daliri and Aisha Iqbal and Ajay Menon and Ajit Mathews and Akhil Mathur and Akshat Agarwal and Alan Schelten and Alana Shine and Alejandro Castillejo Muñoz and Aleksei Guliaev and Alex Radovic and Alex Song and Alex Vaughan and Alexander Simeonov and Alexandre Rezende and Alexei Baevski and Alexey Roubaud and Allen Ma and Alvin Lee and Alyssa Pereira and Aman Ahmed and Aman Shankar and Amanda Kallet and Amar Budhiraja and Ameya Khandekar and Amine Benhalloum and Amir Gershman and Amit Nagpal and Amit Zohar and Amr Sharaf and Anant Desai and Anastasia Razdaibiedina and Anca Agape and Andranik Kurghinyan and Andre Perunicic and Andrea Madotto and Andrei Darabanov and Andrés Alvarado and Andrew Brown and Andrew Cohen and Andrew Fang and Andrew Freeman and Andrew Gallagher and Andrew Gu and Andrew Prasetyo Jo and Andrew Ryan and Andrew Steffen and Andrew Wei and Andrey Rusakov and Andrii Golovei and Andy Shang and Angela Fan and Angela Flewellen and Animesh Pathak and Anirudh Goyal and Ankit Ramchandani and Ankur Pai and Ankur Singh and Ankush Garg and Anlu Xing and Anna Cai and Anna Grosul and Anna Prochowska and Anna Sun and Annie Dong and Annie Franco and Anqi Hu and Anshul Chawla and Anthony Hartshorn and Antonia Sheng and Antony Thomas and Anuj Goyal and Anusha De and Anvit Bodiwala and Aobo Yang and Aparajita Saraf and Apurva Samudra and Aran Mun and Arash Rahnama and Archi Mitra and Archie Sravankumar and Archit Gupta and Aria Haghighi and Ariel Stolerman and Arkabandhu Chowdhury and Arnab Choudhury and Artem Korenev and Arthur Guo and Arthur Hinsvark and Arun Mallya and Arvind Neelakantan and Arya Talebzadeh and Ashish Shah and Ashmitha Jeevaraj Shetty and Ashwin Bharambe and Asif Islam and Aston Zhang and Austen Gregerson and Avi Lewis and Aya Ibrahim and Ayaz Minhas and Ayelet Dahan and Ayelet Regev Dabah and Bangsheng Tang and Bar Ulman and Bardiya Sadeghi and Bartosz Jedrzejewski and Barys Skarabahaty and Beibei Zhu and Beibin Li and Ben Bharier and Benjamin Leonhardi and Benjamin Muller and Bennett Plessala and Bernie Huang and Beth Loyd and Bhargavi Paranjape and Bhavik Sheth and Bill Bonner and Bill Holland and Bill Wang and Bingzhe Liu and Binh Tang and Bo Liu and Bo Wu

arXiv preprint arXiv:2601.11659, 2026 — Cited by 39

Training AI Co-Scientists Using Rubric Rewards

Shashwat Goel and Rishi Hazra and Dulhan Jayalath and Timon Willi and Parag Jain and William F Shen and Ilias Leontiadis and Francesco Barbieri and Yoram Bachrach and Jonas Geiping and Chenxi Whitehouse

arXiv preprint arXiv:2512.23707, 2025 — Cited by 32

Method, system and apparatus for federated learning

Stefanos LASKARIDIS and Samuel HORVATH and Mario ALMEIDA and Ilias LEONTIADIS and Stylianos I VENIERIS

US Patent 12,450,489, 2025, 2025

Balanced Accuracy: The Right Metric for Evaluating LLM Judges--Explained through Youden's J statistic

Stephane Collot, Colin Fraser, Justin Zhao, William F. Shen, Timon Willi, Ilias Leontiadis

Scholarly Publication, 2025

The llama 3 herd of models

Abhimanyu Dubey and Abhinav Jauhri and Abhinav Pandey and Abhishek Kadian and Ahmad Al-Dahle and Aiesha Letman and Akhil Mathur and Alan Schelten and Amy Yang and Angela Fan and Anirudh Goyal and Anthony Hartshorn and Aobo Yang and Archi Mitra and Archie Sravankumar and Artem Korenev and Arthur Hinsvark and Arun Rao and Aston Zhang and Aurélien Rodriguez and Austen Gregerson and Ava Spataru and Baptiste Rozière and Bethany Biron and Binh Tang and Bobbie Chern and Charlotte Caucheteux and Chaya Nayak and Chloe Bi and Chris Marra and Chris McConnell and Christian Keller and Christophe Touret and Chunyang Wu and Corinne Wong and Cristian Canton Ferrer and Cyrus Nikolaidis and Damien Allonsius and Daniel Song and Danielle Pintz and Danny Livshits and David Esiobu and Dhruv Choudhary and Dhruv Mahajan and Diego Garcia-Olano and Diego Perino and Dieuwke Hupkes and Egor Lakomkin and Ehab AlBadawy and Elina Lobanova and Emily Dinan and Eric Michael Smith and Filip Radenovic and Frank Zhang and Gabriel Synnaeve and Gabrielle Lee and Georgia Lewis Anderson and Graeme Nail and Grégoire Mialon and Guan Pang and Guillem Cucurell and Hailey Nguyen and Hannah Korevaar and Hu Xu and Hugo Touvron and Iliyan Zarov and Imanol Arrieta Ibarra and Isabel Kloumann and Ishan Misra and Ivan Evtimov and Jade Copet and Jaewon Lee and Jan Geffert and Jana Vranes and Jason Park and Jay Mahadeokar and Jeet Shah and Jelmer van der Linde and Jennifer Billock and Jenny Hong and Jenya Lee and Jeremy Fu and Jianfeng Chi and Jianyu Huang and Jiawen Liu and Jie Wang and Jiecao Yu and Joanna Bitton and Joe Spisak and Jongsoo Park and Joseph Rocca and Joshua Johnstun and Joshua Saxe and Junteng Jia and Kalyan Vasuden Alwala and Kartikeya Upasani and Kate Plawiak and Ke Li and Kenneth Heafield and Kevin Stone and Khalid El-Arini and Krithika Iyer and Kshitiz Malik and Kuenley Chiu and Kunal Bhalla and Lauren Rantala-Yeary and Laurens van der Maaten and Lawrence Chen and Liang Tan and Liz Jenkins and Louis Martin and Lovish Madaan and Lubo Malo and Lukas Blecher and Lukas Landzaat and Luke de Oliveira and Madeline Muzzi and Mahesh Pasupuleti and Mannat Singh and Manohar Paluri and Marcin Kardas and Mathew Oldham and Mathieu Rita and Maya Pavlova and Melanie Kambadur and Mike Lewis and Min Si and Mitesh Kumar Singh and Mona Hassan and Naman Goyal and Narjes Torabi and Nikolay Bashlykov and Nikolay Bogoychev and Niladri Chatterji and Olivier Duchenne and Onur Çelebi and Patrick Alrassy and Pengchuan Zhang and Pengwei Li and Petar Vasic and Peter Weng and Prajjwal Bhargava and Pratik Dubal and Praveen Krishnan and Punit Singh Koura and Puxin Xu and Qing He and Qingxiao Dong and Ragavan Srinivasan and Raj Ganapathy

arXiv e-prints, 2024 — Cited by 22684

Evaluating privacy leakage in split learning

Xinchi Qiu and Ilias Leontiadis and Luca Melis and Alex Sablayrolles and Pierre Stock

arXiv preprint arXiv:2305.12997, 2023 — Cited by 12

Gpu-based private information retrieval for on-device machine learning inference

Maximilian Lam and Jeff Johnson and Wenjie Xiong and Kiwan Maeng and Udit Gupta and Yang Li and Liangzhen Lai and Ilias Leontiadis and Minsoo Rhu and Hsien-Hsin S Lee and Vijay Janapa Reddi and Gu-Yeon Wei and David Brooks and G Edward Suh

arXiv preprint arXiv:2301.10904, 2023 — Cited by 36

Federated ensemble learning: Increasing the capacity of label private recommendation systems.

Meisam Hejazinia and Dzmitry Huba and Ilias Leontiadis and Kiwan Maeng and Mani Malek and Luca Melis and Ilya Mironov and Milad Nasr and Kaikai Wang and Carole-Jean Wu

IEEE Data Eng. Bull., 2023 — Cited by 2

EXACT: Extensive attack for split learning

Xinchi Qiu and Ilias Leontiadis and Luca Melis and Alex Sablayrolles and Pierre Stock

arXiv preprint arXiv:2305.12997, 2023 — Cited by 6

{FirmSolo}: Enabling dynamic analysis of binary Linux-based {IoT} kernel modules

Ioannis Angelakopoulos and Gianluca Stringhini and Manuel Egele

32nd USENIX Security Symposium (USENIX Security 23), 2023 — Cited by 37

Dyno: Dynamic onloading of deep neural networks from cloud to device

Mario Almeida and Stefanos Laskaridis and Stylianos I Venieris and Ilias Leontiadis and Nicholas D Lane

ACM Transactions on Embedded Computing Systems, 2022 — Cited by 55

Fel: High capacity learning for recommendation and ranking via federated ensemble learning

Meisam Hejazinia and Dzmitry Huba and Ilias Leontiadis and Kiwan Maeng and Mani Malek and Luca Melis and Ilya Mironov and Milad Nasr and Kaikai Wang and Carole-Jean Wu

arXiv preprint arXiv:2206.03852, 2022 — Cited by 12

Method and system for neural network execution distribution

Mario ALMEIDA and Stefanos LASKARIDIS and Stylianos VENIERIS and Ilias LEONTIADIS

US Patent App. 17/420,259, 2022, 2022 — Cited by 6

Fjord: Fair and accurate federated learning under heterogeneous targets with ordered dropout

Samuel Horvath and Stefanos Laskaridis and Mario Almeida and Ilias Leontiadis and Stylianos Venieris and Nicholas Lane

Advances in Neural Information Processing Systems, 2021 — Cited by 513

Smart at what cost? characterising mobile deep neural networks in the wild

Mario Almeida and Stefanos Laskaridis and Abhinav Mehrotra and Lukasz Dudziak and Ilias Leontiadis and Nicholas D Lane

Proceedings of the 21st ACM Internet Measurement Conference, 658-672, 2021, 2021 — Cited by 67

How to reach real-time AI on consumer devices? Solutions for programmable and custom architectures

Stylianos I Venieris and Ioannis Panopoulos and Ilias Leontiadis and Iakovos S Venieris

2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2021 — Cited by 19

It's always personal: Using early exits for efficient on-device CNN personalisation

Ilias Leontiadis and Stefanos Laskaridis and Stylianos I Venieris and Nicholas D Lane

Proceedings of the 22nd International Workshop on Mobile Computing Systems …, 2021, 2021 — Cited by 44

SPINN: Synergistic progressive inference of neural networks over device and cloud

Stefanos Laskaridis and Stylianos I Venieris and Mario Almeida and Ilias Leontiadis and Nicholas D Lane

Proceedings of the 26th annual international conference on mobile computing …, 2020, 2020 — Cited by 497

Method, a system and computer program products for securely enabling in-network functionality over encrypted data sessions

Various Authors

US Patent 10,742,611, 2020, 2020 — Cited by 6

Darknetz: towards model privacy at the edge using trusted execution environments

Fan Mo and Ali Shahin Shamsabadi and Kleomenis Katevas and Soteris Demetriou and Ilias Leontiadis and Andrea Cavallaro and Hamed Haddadi

Proceedings of the 18th International Conference on Mobile Systems …, 2020, 2020 — Cited by 355

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

Kostantinos Papadamou and Antonis Papasavva and Savvas Zannettou and Jeremy Blackburn and Nicolas Kourtellis and Ilias Leontiadis and Gianluca Stringhini and Michael Sirivianos

Proceedings of the international AAAI conference on web and social media, 2020 — Cited by 239

Learning to listen... on-device: Present and future perspectives of on-device asr

Various Authors

GetMobile: Mobile Computing and Communications 23 (4), 5-9, 2020, 2020 — Cited by 9

A self-attentive emotion recognition network

Harris Partaourides and Kostantinos Papadamou and Nicolas Kourtellis and Ilias Leontiades and Sotirios Chatzis

ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 — Cited by 17

A retrospective analysis of user exposure to (illicit) cryptocurrency mining on the web

Various Authors

arXiv preprint arXiv:2004.13239, 2020, 2020 — Cited by 8

Experience: advanced network operations in (Un)-connected remote communities

Various Authors

Proceedings of the 26th Annual International Conference on Mobile Computing …, 2020, 2020 — Cited by 4

Restricted Dataset for" Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"

Various Authors

Scholarly Publication, 2020

Public Dataset for" Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior"

Various Authors

Scholarly Publication, 2020

Finding dory in the crowd: Detecting social interactions using multi-modal mobile sensing

Kleomenis Katevas and Katrin Hänsel and Richard Clegg and Ilias Leontiadis and Hamed Haddadi and Laurissa Tokarchuk

Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor …, 2019, 2019 — Cited by 31

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

Enrico Mariconti and Guillermo Suarez-Tangil and Jeremy Blackburn and Emiliano De Cristofaro and Nicolas Kourtellis and Ilias Leontiadis and Jordi Luque Serrano and Gianluca Stringhini

Proceedings of the ACM on Human-Computer Interaction, 2019 — Cited by 121

Detecting cyberbullying and cyberaggression in social media

Despoina Chatzakou and Ilias Leontiadis and Jeremy Blackburn and Emiliano De Cristofaro and Gianluca Stringhini and Athena Vakali and Nicolas Kourtellis

ACM Transactions on the Web (TWEB), 2019 — Cited by 200

Learning from Industrial Ixperimental Research

Various Authors

Proceedings of the 13th International Workshop on Wireless Network Testbeds …, 2019, 2019

A unified deep learning architecture for abuse detection

Antigoni Maria Founta and Despoina Chatzakou and Nicolas Kourtellis and Jeremy Blackburn and Athena Vakali and Ilias Leontiadis

Proceedings of the 10th ACM conference on web science, 105-114, 2019, 2019 — Cited by 351

EmBench: Quantifying performance variations of deep neural networks across modern commodity devices

Mario Almeida and Stefanos Laskaridis and Ilias Leontiadis and Stylianos I Venieris and Nicholas D Lane

The 3rd international workshop on deep learning for mobile systems and …, 2019, 2019 — Cited by 94

A reality check on inference at mobile networks edge

Alejandro Cartas and Martin Kocour and Aravindh Raman and Ilias Leontiadis and Jordi Luque and Nishanth Sastry and Jose Nuñez-Martinez and Diego Perino and Carlos Segura

Proceedings of the 2nd International Workshop on Edge Systems, Analytics and …, 2019, 2019 — Cited by 29

Disturbed youtube for kids: Characterizing and detecting disturbing content on youtube

Kostantinos Papadamou and Antonis Papasavva and Savvas Zannettou and Jeremy Blackburn and Nicolas Kourtellis and Ilias Leontiadis and Gianluca Stringhini and Michael Sirivianos

arXiv preprint arXiv:1901.07046, 2019 — Cited by 32

There goes Wally: Anonymously sharing your location gives you away

Various Authors

2018 IEEE International Conference on Big Data (Big Data), 1218-1227, 2018, 2018 — Cited by 10

LOBO: Evaluation of generalization deficiencies in Twitter bot classifiers

Juan Echeverrï£¡ a and Emiliano De Cristofaro and Nicolas Kourtellis and Ilias Leontiadis and Gianluca Stringhini and Shi Zhou

Proceedings of the 34th annual computer security applications conference …, 2018, 2018 — Cited by 104

A first look at SIM-enabled wearables in the wild

Harini Kolamunna and Ilias Leontiadis and Diego Perino and Suranga Seneviratne and Kanchana Thilakarathna and Aruna Seneviratne

Proceedings of the Internet Measurement Conference 2018, 77-83, 2018, 2018 — Cited by 19

Large scale crowdsourcing and characterization of twitter abusive behavior

Antigoni Founta and Constantinos Djouvas and Despoina Chatzakou and Ilias Leontiadis and Jeremy Blackburn and Gianluca Stringhini and Athena Vakali and Michael Sirivianos and Nicolas Kourtellis

Proceedings of the international AAAI conference on web and social media, 2018 — Cited by 1099

Chimp: Crowdsourcing human inputs for mobile phones

Mario Almeida and Muhammad Bilal and Alessandro Finamore and Ilias Leontiadis and Yan Grunenberger and Matteo Varvello and Jeremy Blackburn

Proceedings of the 2018 World Wide Web Conference, 45-54, 2018, 2018 — Cited by 41

Continual prediction of notification attendance with classical and deep network approaches

Various Authors

arXiv preprint arXiv:1712.07120, 2017, 2017 — Cited by 3

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

Savvas Zannettou and Tristan Caulfield and Emiliano De Cristofaro and Nicolas Kourtelris and Ilias Leontiadis and Michael Sirivianos and Gianluca Stringhini and Jeremy Blackburn

Proceedings of the 2017 internet measurement conference, 405-417, 2017, 2017 — Cited by 294

Detecting network performance anomalies with contextual anomaly detection

Giorgos Dimopoulos and Pere Barlet-Ros and Constantine Dovrolis and Ilias Leontiadis

2017 IEEE International Workshop on Measurement and Networking (M&N), 2017 — Cited by 14

Class-based prediction errors to detect hate speech with out-of-vocabulary words

Joan Serra and Ilias Leontiadis and Dimitris Spathis and Gianluca Stringhini and Jeremy Blackburn and Athena Vakali

Proceedings of the first workshop on abusive language online, 2017 — Cited by 59

Practical processing of mobile sensor data for continual deep learning predictions

Kleomenis Katevas and Ilias Leontiadis and Martin Pielot and Joan Serrà

Proceedings of the 1st International Workshop on Deep Learning for mobile …, 2017, 2017 — Cited by 16

Kek, cucks, and god emperor trump: A measurement study of 4chan’s politically incorrect forum and its effects on the web

Gabriel Hine and Jeremiah Onaolapo and Emiliano De Cristofaro and Nicolas Kourtellis and Ilias Leontiadis and Riginos Samaras and Gianluca Stringhini and Jeremy Blackburn

Proceedings of the International AAAI Conference on Web and Social Media, 2017 — Cited by 407

The good, the bad, and the KPIs: how to combine performance metrics to better capture underperforming sectors in mobile networks

Various Authors

2017 IEEE 33rd International Conference on Data Engineering (ICDE), 297-308, 2017, 2017 — Cited by 11

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

Joan Serra and Ilias Leontiadis and Alexandros Karatzoglou and Konstantina Papagiannaki

2017 IEEE 33rd International Conference on Data Engineering (ICDE), 2017 — Cited by 15

Measuring video QoE from encrypted traffic

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

Proceedings of the 2016 Internet Measurement Conference, 513-526, 2016, 2016 — Cited by 241

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

Various Authors

arXiv e-prints, arXiv: 1610.03452, 2016, 2016

Method and system for identifying the cause of network problems in mobile networks and computer program thereof

Various Authors

US Patent App. 15/025,421, 2016, 2016 — Cited by 12

Department of computer science and technology

Various Authors

IEEE Transactions on Big Data, 2016, 2016 — Cited by 5

Identifying the root cause of video streaming issues on mobile devices

Giorgos Dimopoulos and Ilias Leontiadis and Pere Barlet-Ros and Konstantina Papagiannaki and Peter Steenkiste

Proceedings of the 11th ACM Conference on Emerging Networking Experiments …, 2015, 2015 — Cited by 59

Multi-context TLS (mcTLS) enabling secure in-network functionality in TLS

David Naylor and Kyle Schomp and Matteo Varvello and Ilias Leontiadis and Jeremy Blackburn and Diego R López and Konstantina Papagiannaki and Pablo Rodriguez Rodriguez and Peter Steenkiste

ACM SIGCOMM Computer Communication Review, 2015 — Cited by 232

Cross-Check of Analysis Modules and Reasoner Interactions

Various Authors

Scholarly Publication, 2015

Multi-Context TLS (mcTLS)

Various Authors

Proceedings of the 2015 ACM Conference on Special Interest Group on Data …, 2015, 2015

From cells to streets: Estimating mobile paths with cellular-side data

Ilias Leontiadis and Antonio Lima and Haewoon Kwak and Rade Stanojevic and David Wetherall and Konstantina Papagiannaki

Proceedings of the 10th ACM International on Conference on emerging …, 2014, 2014 — Cited by 75

The cost of the" s" in https

David Naylor and Alessandro Finamore and Ilias Leontiadis and Yan Grunenberger and Marco Mellia and Maurizio Munafò and Konstantina Papagiannaki and Peter Steenkiste

Proceedings of the 10th ACM International on Conference on emerging …, 2014, 2014 — Cited by 367

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

Chloë Brown and Christos Efstratiou and Ilias Leontiadis and Daniele Quercia and Cecilia Mascolo and James Scott and Peter Key

Proceedings of the 2014 ACM International Joint Conference on Pervasive and …, 2014, 2014 — Cited by 79

mPlane: an intelligent measurement plane for the internet

Brian Trammell and Pedro Casas and Dario Rossi and Arian Bär and Zied Ben Houidi and Ilias Leontiadis and Tivadar Szemethy and Marco Mellia

IEEE Communications Magazine, 2014 — Cited by 34

MONITORING AND TROUBLESHOOTING MULTI-DOMAIN NETWORKS USING MEASUREMENT FEDERATIONS: PART 2

Various Authors

IEEE Communications Magazine, 2014, 2014

Tracking serendipitous interactions: How individual cultures shape the office

Chloë Brown and Christos Efstratiou and Ilias Leontiadis and Daniele Quercia and Cecilia Mascolo

Proceedings of the 17th ACM conference on Computer supported cooperative …, 2014, 2014 — Cited by 97

Smartphone sensing offloading for efficiently supporting social sensing applications

Kiran K Rachuri and Christos Efstratiou and Ilias Leontiadis and Cecilia Mascolo and Peter J Rentfrow

Pervasive and Mobile Computing, 2014 — Cited by 29

Design of the reasoner

Various Authors

D4 2 (06), 2014, 2014, 2014 — Cited by 2

Design of Analysis Modules

Various Authors

Scholarly Publication, 2013

Applications of temporal graph metrics to real-world networks

John Tang and Ilias Leontiadis and Salvatore Scellato and Vincenzo Nicosia and Cecilia Mascolo and Mirco Musolesi and Vito Latora

Temporal Networks, 135-159, 2013, 2013 — Cited by 75

METIS: Exploring mobile phone sensing offloading for efficiently supporting social sensing applications

Kiran K Rachuri and Christos Efstratiou and Ilias Leontiadis and Cecilia Mascolo and Peter J Rentfrow

2013 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2013 — Cited by 67

Application Scenarios

Various Authors

Mobile Ad Hoc Networking: Cutting Edge Directions, 77-105, 2013, 2013 — Cited by 2

Sense and sensibility in a pervasive world

Christos Efstratiou and Ilias Leontiadis and Marco Picone and Kiran K Rachuri and Cecilia Mascolo and Jon Crowcroft

International Conference on Pervasive Computing, 406-424, 2012, 2012 — Cited by 46

Error and attack vulnerability of temporal networks

Stojan Trajanovski and S Scellato and I Leontiadis

Physical Review E—Statistical, Nonlinear, and Soft Matter Physics, 2012 — Cited by 41

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

Ilias Leontiadis and Christos Efstratiou and Marco Picone and Cecilia Mascolo

Proceedings of the Twelfth Workshop on Mobile Computing Systems …, 2012, 2012 — Cited by 252

SenShare: transforming sensor networks into multi-application sensing infrastructures

Ilias Leontiadis and Christos Efstratiou and Cecilia Mascolo and Jon Crowcroft

European Conference on Wireless Sensor Networks, 65-81, 2012, 2012 — Cited by 161

Evaluating temporal robustness of mobile networks

Salvatore Scellato and Ilias Leontiadis and Cecilia Mascolo and Prithwish Basu and Murtaza Zafer

IEEE Transactions on Mobile Computing, 2011 — Cited by 78

On the effectiveness of an opportunistic traffic management system for vehicular networks

Ilias Leontiadis and Gustavo Marfia and David Mack and Giovanni Pau and Cecilia Mascolo and Mario Gerla

IEEE Transactions on Intelligent Transportation Systems, 2011 — Cited by 244

Spotme if you can: Randomized responses for location obfuscation on mobile phones

Daniele Quercia and Ilias Leontiadis and Liam McNamara and Cecilia Mascolo and Jon Crowcroft

2011 31st International Conference on Distributed Computing Systems, 2011 — Cited by 109

Understanding robustness of mobile networks through temporal network measures

Salvatore Scellato and Ilias Leontiadis and Cecilia Mascolo and Prithwish Basu and Murtaza Zafer

2011 Proceedings IEEE INFOCOM, 2011 — Cited by 19

A content dissemination framework for vehicular networking

Various Authors

UCL (University College London), 2010, 2010 — Cited by 5

Extending access point connectivity through opportunistic routing in vehicular networks

Ilias Leontiadis and Paolo Costa and Cecilia Mascolo

2010 Proceedings IEEE INFOCOM, 2010 — Cited by 82

A shared sensor network infrastructure

Christos Efstratiou and Ilias Leontiadis and Cecilia Mascolo and Jon Crowcroft

Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems …, 2010, 2010 — Cited by 43

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

Ilias Leontiadis and Paolo Costa and Cecilia Mascolo

Pervasive and Mobile Computing, 2009 — Cited by 70

Persistent content-based information dissemination in hybrid vehicular networks

Ilias Leontiadis and Paolo Costa and Cecilia Mascolo

2009 IEEE International Conference on Pervasive Computing and Communications, 2009 — Cited by 84

Publish/subscribe notification middleware for vehicular networks

Ilias Leontiadis

Proceedings of the 4th on Middleware doctoral symposium, 1-6, 2007, 2007 — Cited by 51

GeOpps: Geographical opportunistic routing for vehicular networks

Ilias Leontiadis and Cecilia Mascolo

2007 IEEE international symposium on a world of wireless, mobile and multimedia networks, 2007 — Cited by 497

Opportunistic spatio-temporal dissemination system for vehicular networks

Ilias Leontiadis and Cecilia Mascolo

Proceedings of the 1st international MobiSys workshop on Mobile …, 2007, 2007 — Cited by 146

Geopps: Opportunistic geographical routing for vehicular networks

Ilias Leontiadis and Cecilia Mascolo

Proceedings of the IEEE Workshop on Autonomic and Opportunistic Communications.(Colocated with WOWMOM07), Helsinki, Finland, 2007 — Cited by 35

Creating and maintaining replicas in unstructured peer-to-peer systems

Elias Leontiadis and Vassilios V Dimakopoulos and Evaggelia Pitoura

European Conference on Parallel Processing, 1015-1025, 2006, 2006 — Cited by 45

Cache updates in a peer-to-peer network of mobile agents

Elias Leontiadis and Vassilios V Dimakopoulos and Evaggelia Pitoura

Proceedings. Fourth International Conference on Peer-to-Peer Computing, 2004. Proceedings., 2004 — Cited by 19

OMPi compiler homepage

Various Authors

Scholarly Publication, 2003 — Cited by 3

A portable C compiler for OpenMP V. 2.0

Vassilios V Dimakopoulos and Elias Leontiadis and George Tzoumas

Proc. EWOMP, 2003 — Cited by 84

OpenMP C Parser

Various Authors

December, 2001, 2001 — Cited by 3

International Workshop on Cybersafety Organization

Various Authors

Scholarly Publication,

Various Authors

Scholarly Publication,

An Opportunistic Traffic Management System for Vehicular Networks

Various Authors

Scholarly Publication,

Detecting Social Interactions using Multi-Modal Mobile Sensing

Various Authors

Scholarly Publication,

Algorithm and Scheduler Design and Implementation

Various Authors

Scholarly Publication,

Use Case Elaboration and Requirements Specification

Various Authors

Scholarly Publication,

2nd International Workshop on Vehicular Communications and Applications (VCA’13)

Various Authors

Scholarly Publication,

SpotME If You Can: Randomized Responses for Location Obfuscation in Mobile Systems

Various Authors

Scholarly Publication,

Dimitris Sacharidis, Research Center" Athena", Greece Somak Sen, University of Kentucky, USA Janaka Weerathunga Yapa Seneviratne, The University of Melbourne, Australia

Various Authors

Scholarly Publication,

MASCOTS 2011 Additional Reviewers

Various Authors

Scholarly Publication,

P2P

Various Authors

Scholarly Publication,

Evaluating an Anonymity Framework in SIP

Various Authors

Scholarly Publication,

DTMN 2008 Organizing Committee

Various Authors

Scholarly Publication,