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Ilias Leontiadis
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2020 – today
- 2024
- [c46]Maximilian Lam
, Jeff Johnson
GPU-based Private Information Retrieval for On-Device Machine Learning Inference. ASPLOS (1) 2024: 197-214 - 2023
- [j10]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): 145-157 (2023) - [i29]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. CoRR abs/2301.10904 (2023) - [i28]Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alexandre Sablayrolles, Pierre Stock:
EXACT: Extensive Attack for Split Learning. CoRR abs/2305.12997 (2023) - 2022
- [j9]Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. ACM Trans. Embed. Comput. Syst. 21(6): 71:1-71:24 (2022) - [i27]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 abs/2206.03852 (2022) - 2021
- [c45]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: 93-100 - [c44]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: 658-672 - [c43]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: 12876-12889 - [c42]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: 15-21 - [i26]Ilias Leontiadis, Stefanos Laskaridis, Stylianos I. Venieris, Nicholas D. Lane:
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation. CoRR abs/2102.01393 (2021) - [i25]Samuel Horváth
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout. CoRR abs/2102.13451 (2021) - [i24]Mário Almeida, Stefanos Laskaridis, Stylianos I. Venieris, Ilias Leontiadis, Nicholas D. Lane:
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device. CoRR abs/2104.09949 (2021) - [i23]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 abs/2106.15021 (2021) - [i22]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 abs/2109.13963 (2021) - 2020
- [c41]Harris Partaourides
A Self-Attentive Emotion Recognition Network. ICASSP 2020: 7199-7203 - [c40]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: 522-533 - [c39]Diego Perino, Xiaoyuan Yang, Joan Serrà, Andra Lutu, Ilias Leontiadis:
Experience: advanced network operations in (Un)-connected remote communities. MobiCom 2020: 16:1-16:10 - [c38]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: 37:1-37:15 - [c37]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: 161-174 - [c36]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 - [i21]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 abs/2004.05703 (2020) - [i20]Ralph Holz
A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web. CoRR abs/2004.13239 (2020) - [i19]Stefanos Laskaridis, Stylianos I. Venieris, Mário Almeida, Ilias Leontiadis, Nicholas D. Lane:
SPINN: Synergistic Progressive Inference of Neural Networks over Device and Cloud. CoRR abs/2008.06402 (2020)
2010 – 2019
- 2019
- [j8]Enrico Mariconti
"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks. Proc. ACM Hum. Comput. Interact. 3(CSCW): 207:1-207:21 (2019) - [j7]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): 5-9 (2019) - [j6]Despoina Chatzakou
Detecting Cyberbullying and Cyberaggression in Social Media. ACM Trans. Web 13(3): 17:1-17:51 (2019) - [c35]Alejandro Cartas
A Reality Check on Inference at Mobile Networks Edge. EdgeSys@EuroSys 2019: 54-59 - [c34]Ilias Leontiadis, Diego Perino:
Learning from Industrial Ixperimental Research. WiNTECH 2019: 3 - [c33]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: 37-42 - [c32]Antigoni-Maria Founta, Despoina Chatzakou
A Unified Deep Learning Architecture for Abuse Detection. WebSci 2019: 105-114 - [i18]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 abs/1901.07046 (2019) - [i17]Harris Partaourides, Kostantinos Papadamou, Nicolas Kourtellis, Ilias Leontiadis, Sotirios Chatzis:
A Self-Attentive Emotion Recognition Network. CoRR abs/1905.01972 (2019) - [i16]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 abs/1905.07346 (2019) - [i15]Despoina Chatzakou, Ilias Leontiadis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, Athena Vakali, Nicolas Kourtellis:
Detecting Cyberbullying and Cyberaggression in Social Media. CoRR abs/1907.08873 (2019) - 2018
- [c31]Juan Echeverría, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Shi Zhou:
LOBO: Evaluation of Generalization Deficiencies in Twitter Bot Classifiers. ACSAC 2018: 137-146 - [c30]Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serrà, Claudio Soriente:
There goes Wally: Anonymously sharing your location gives you away. IEEE BigData 2018: 1218-1227 - [c29]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: 491-500 - [c28]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: 77-83 - [c27]Mário Almeida, Muhammad Bilal, Alessandro Finamore, Ilias Leontiadis, Yan Grunenberger, Matteo Varvello, Jeremy Blackburn:
CHIMP: Crowdsourcing Human Inputs for Mobile Phones. WWW 2018: 45-54 - [i14]Antigoni-Maria Founta, Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Athena Vakali, Ilias Leontiadis:
A Unified Deep Learning Architecture for Abuse Detection. CoRR abs/1802.00385 (2018) - [i13]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 abs/1802.00393 (2018) - [i12]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 abs/1805.08168 (2018) - [i11]Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serrà, Claudio Soriente:
There goes Wally: Anonymously sharing your location gives you away. CoRR abs/1806.02701 (2018) - [i10]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 abs/1809.00947 (2018) - [i9]Juan Echeverría, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Gianluca Stringhini, Shi Zhou:
LOBO - Evaluation of Generalization Deficiencies in Twitter Bot Classifiers. CoRR abs/1809.09684 (2018) - 2017
- [c26]Joan Serrà, Ilias Leontiadis, Dimitris Spathis
Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words. ALW@ACL 2017: 36-40 - [c25]Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki:
Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators. ICDE 2017: 259-270 - [c24]Ilias Leontiadis, Joan Serrà, Alessandro Finamore, Giorgos Dimopoulos
The Good, the Bad, and the KPIs: How to Combine Performance Metrics to Better Capture Underperforming Sectors in Mobile Networks. ICDE 2017: 297-308 - [c23]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: 92-101 - [c22]Savvas Zannettou, Tristan Caulfield
The web centipede: understanding how web communities influence each other through the lens of mainstream and alternative news sources. Internet Measurement Conference 2017: 405-417 - [c21]Giorgos Dimopoulos
Detecting network performance anomalies with contextual anomaly detection. M&N 2017: 1-6 - [c20]Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà:
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions. EMDL@MobiSys 2017: 19-24 - [i8]Joan Serrà, Ilias Leontiadis, Alexandros Karatzoglou, Konstantina Papagiannaki:
Hot or not? Forecasting cellular network hot spots using sector performance indicators. CoRR abs/1704.05249 (2017) - [i7]Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà:
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions. CoRR abs/1705.06224 (2017) - [i6]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 abs/1705.06947 (2017) - [i5]Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà:
Continual Prediction of Notification Attendance with Classical and Deep Network Approaches. CoRR abs/1712.07120 (2017) - 2016
- [c19]Giorgos Dimopoulos, Ilias Leontiadis, Pere Barlet-Ros, Konstantina Papagiannaki:
Measuring Video QoE from Encrypted Traffic. Internet Measurement Conference 2016: 513-526 - [i4]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 abs/1610.03452 (2016) - 2015
- [c18]Giorgos Dimopoulos
Identifying the root cause of video streaming issues on mobile devices. CoNEXT 2015: 24:1-24:13 - [c17]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: 199-212 - 2014
- [j5]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): 148-156 (2014) - [j4]Kiran K. Rachuri, Christos Efstratiou, Ilias Leontiadis, Cecilia Mascolo
Smartphone sensing offloading for efficiently supporting social sensing applications. Pervasive Mob. Comput. 10: 3-21 (2014) - [c16]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: 121-132 - [c15]David Naylor, Alessandro Finamore, Ilias Leontiadis, Yan Grunenberger, Marco Mellia
The Cost of the "S" in HTTPS. CoNEXT 2014: 133-140 - [c14]Chloë Brown
Tracking serendipitous interactions: how individual cultures shape the office. CSCW 2014: 1072-1081 - [c13]Chloë Brown
The architecture of innovation: tracking face-to-face interactions with ubicomp technologies. UbiComp 2014: 811-822 - [i3]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 abs/1406.6829 (2014) - 2013
- [j3]Salvatore Scellato, Ilias Leontiadis, Cecilia Mascolo
Evaluating Temporal Robustness of Mobile Networks. IEEE Trans. Mob. Comput. 12(1): 105-117 (2013) - [c12]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: 85-93 - [p1]Ilias Leontiadis, Ettore Ferranti, Cecilia Mascolo
Application Scenarios. Mobile Ad Hoc Networking 2013: 77-105 - [i2]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 abs/1305.6974 (2013) - [i1]Chloë Brown, Christos Efstratiou, Ilias Leontiadis, Daniele Quercia, Cecilia Mascolo:
Tracking Serendipitous Interactions: How Individual Cultures Shape the Office. CoRR abs/1310.3652 (2013) - 2012
- [c11]Ilias Leontiadis, Christos Efstratiou, Cecilia Mascolo
SenShare: Transforming Sensor Networks into Multi-application Sensing Infrastructures. EWSN 2012: 65-81 - [c10]Christos Efstratiou, Ilias Leontiadis, Marco Picone
Sense and Sensibility in a Pervasive World. Pervasive 2012: 406-424 - [c9]Ilias Leontiadis, Christos Efstratiou, Marco Picone
Don't kill my ads!: balancing privacy in an ad-supported mobile application market. HotMobile 2012: 2 - 2011
- [j2]Ilias Leontiadis, Gustavo Marfia
On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 12(4): 1537-1548 (2011) - [c8]Daniele Quercia, Ilias Leontiadis, Liam McNamara, Cecilia Mascolo
SpotME If You Can: Randomized Responses for Location Obfuscation on Mobile Phones. ICDCS 2011: 363-372 - [c7]Salvatore Scellato, Ilias Leontiadis, Cecilia Mascolo
Understanding robustness of mobile networks through temporal network measures. INFOCOM 2011: 1-5 - 2010
- [b1]Ilias Leontiadis:
A content dissemination framework for vehicular networking. University College London, UK, 2010 - [c6]Ilias Leontiadis, Paolo Costa, Cecilia Mascolo
Extending Access Point Connectivity through Opportunistic Routing in Vehicular Networks. INFOCOM 2010: 486-490 - [c5]Christos Efstratiou, Ilias Leontiadis, Cecilia Mascolo
A shared sensor network infrastructure. SenSys 2010: 367-368
2000 – 2009
- 2009
- [j1]Ilias Leontiadis, Paolo Costa, Cecilia Mascolo
A hybrid approach for content-based publish/subscribe in vehicular networks. Pervasive Mob. Comput. 5(6): 697-713 (2009) - [c4]Ilias Leontiadis, Paolo Costa, Cecilia Mascolo
Persistent Content-based Information Dissemination in Hybrid Vehicular Networks. PerCom 2009: 1-10 - 2007
- [c3]Ilias Leontiadis:
Publish/subscribe notification middleware for vehicular networks. Middleware (Doctoral Symposium) 2007: 12 - [c2]Ilias Leontiadis, Cecilia Mascolo:
Opportunistic spatio-temporal dissemination system for vehicular networks. MobiOpp@MobiSys 2007: 39-46 - [c1]Ilias Leontiadis, Cecilia Mascolo
GeOpps: Geographical Opportunistic Routing for Vehicular Networks. WOWMOM 2007: 1-6
Coauthor Index
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last updated on 2024-10-07 22:22 CEST by the dblp team
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