Ilias Leontiadis

Orcid: 0000-0001-5581-5803

According to our database1, Ilias Leontiadis authored at least 65 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
GPU-based Private Information Retrieval for On-Device Machine Learning Inference.
Proceedings of the 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2024

2023
Federated Ensemble Learning: Increasing the Capacity of Label Private Recommendation Systems.
IEEE Data Eng. Bull., 2023

EXACT: Extensive Attack for Split Learning.
CoRR, 2023

2022
DynO: Dynamic Onloading of Deep Neural Networks from Cloud to Device.
ACM Trans. Embed. Comput. Syst., November, 2022

FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning.
CoRR, 2022

2021
It's always personal: Using Early Exits for Efficient On-Device CNN Personalisation.
Proceedings of the HotMobile '21: The 22nd International Workshop on Mobile Computing Systems and Applications, 2021

FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Smart at what cost?: characterising mobile deep neural networks in the wild.
Proceedings of the IMC '21: ACM Internet Measurement Conference, 2021

How to Reach Real-Time AI on Consumer Devices? Solutions for Programmable and Custom Architectures.
Proceedings of the 32nd IEEE International Conference on Application-specific Systems, 2021

2020
A Retrospective Analysis of User Exposure to (Illicit) Cryptocurrency Mining on the Web.
Proceedings of the 4th Network Traffic Measurement and Analysis Conference, 2020

DarkneTZ: towards model privacy at the edge using trusted execution environments.
Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020

Experience: advanced network operations in (Un)-connected remote communities.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

SPINN: synergistic progressive inference of neural networks over device and cloud.
Proceedings of the MobiCom '20: The 26th Annual International Conference on Mobile Computing and Networking, 2020

Disturbed YouTube for Kids: Characterizing and Detecting Inappropriate Videos Targeting Young Children.
Proceedings of the Fourteenth International AAAI Conference on Web and Social Media, 2020

A Self-Attentive Emotion Recognition Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Detecting Cyberbullying and Cyberaggression in Social Media.
ACM Trans. Web, 2019

Learning to Listen... On-Device: Present and future perspectives of on-device ASR.
GetMobile Mob. Comput. Commun., 2019

"You Know What to Do": Proactive Detection of YouTube Videos Targeted by Coordinated Hate Attacks.
Proc. ACM Hum. Comput. Interact., 2019

EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices.
CoRR, 2019

Disturbed YouTube for Kids: Characterizing and Detecting Disturbing Content on YouTube.
CoRR, 2019

A Unified Deep Learning Architecture for Abuse Detection.
Proceedings of the 11th ACM Conference on Web Science, 2019

Finding Dory in the Crowd: Detecting Social Interactions using Multi-Modal Mobile Sensing.
Proceedings of the 1st Workshop on Machine Learning on Edge in Sensor Systems, 2019

Learning from Industrial Ixperimental Research.
Proceedings of the 13th International Workshop on Wireless Network Testbeds, 2019

A Reality Check on Inference at Mobile Networks Edge.
Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking, 2019

2018
CHIMP: Crowdsourcing Human Inputs for Mobile Phones.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

A First Look at SIM-Enabled Wearables in the Wild.
Proceedings of the Internet Measurement Conference 2018, 2018

Large Scale Crowdsourcing and Characterization of Twitter Abusive Behavior.
Proceedings of the Twelfth International Conference on Web and Social Media, 2018

There goes Wally: Anonymously sharing your location gives you away.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

LOBO: Evaluation of Generalization Deficiencies in Twitter Bot Classifiers.
Proceedings of the 34th Annual Computer Security Applications Conference, 2018

2017
Continual Prediction of Notification Attendance with Classical and Deep Network Approaches.
CoRR, 2017

Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions.
Proceedings of the 1st International Workshop on Embedded and Mobile Deep Learning (Deep Learning for Mobile Systems and Applications), 2017

Detecting network performance anomalies with contextual anomaly detection.
Proceedings of the IEEE International Workshop on Measurement and Networking, 2017

The web centipede: understanding how web communities influence each other through the lens of mainstream and alternative news sources.
Proceedings of the 2017 Internet Measurement Conference, 2017

Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and Its Effects on the Web.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Hot or Not? Forecasting Cellular Network Hot Spots Using Sector Performance Indicators.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

The Good, the Bad, and the KPIs: How to Combine Performance Metrics to Better Capture Underperforming Sectors in Mobile Networks.
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017

Class-based Prediction Errors to Detect Hate Speech with Out-of-vocabulary Words.
Proceedings of the First Workshop on Abusive Language Online, 2017

2016
A Longitudinal Measurement Study of 4chan's Politically Incorrect Forum and its Effect on the Web.
CoRR, 2016

Measuring Video QoE from Encrypted Traffic.
Proceedings of the 2016 ACM on Internet Measurement Conference, 2016

2015
Multi-Context TLS (mcTLS): Enabling Secure In-Network Functionality in TLS.
Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, 2015

Identifying the root cause of video streaming issues on mobile devices.
Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies, 2015

2014
Smartphone sensing offloading for efficiently supporting social sensing applications.
Pervasive Mob. Comput., 2014

mPlane: an intelligent measurement plane for the internet.
IEEE Commun. Mag., 2014

The architecture of innovation: tracking face-to-face interactions with ubicomp technologies.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Tracking serendipitous interactions: how individual cultures shape the office.
Proceedings of the Computer Supported Cooperative Work, 2014

The Cost of the "S" in HTTPS.
Proceedings of the 10th ACM International on Conference on emerging Networking Experiments and Technologies, 2014

From Cells to Streets: Estimating Mobile Paths with Cellular-Side Data.
Proceedings of the 10th ACM International on Conference on emerging Networking Experiments and Technologies, 2014

2013
Evaluating Temporal Robustness of Mobile Networks.
IEEE Trans. Mob. Comput., 2013

Applications of Temporal Graph Metrics to Real-World Networks
CoRR, 2013

METIS: Exploring mobile phone sensing offloading for efficiently supporting social sensing applications.
Proceedings of the 2013 IEEE International Conference on Pervasive Computing and Communications, 2013

Application Scenarios.
Proceedings of the Mobile Ad Hoc Networking: Cutting Edge Directions, Second Edition, 2013

2012
Don't kill my ads!: balancing privacy in an ad-supported mobile application market.
Proceedings of the 2012 Workshop on Mobile Computing Systems and Applications, 2012

Sense and Sensibility in a Pervasive World.
Proceedings of the Pervasive Computing - 10th International Conference, 2012

SenShare: Transforming Sensor Networks into Multi-application Sensing Infrastructures.
Proceedings of the Wireless Sensor Networks - 9th European Conference, 2012

2011
On the Effectiveness of an Opportunistic Traffic Management System for Vehicular Networks.
IEEE Trans. Intell. Transp. Syst., 2011

Understanding robustness of mobile networks through temporal network measures.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

SpotME If You Can: Randomized Responses for Location Obfuscation on Mobile Phones.
Proceedings of the 2011 International Conference on Distributed Computing Systems, 2011

2010
A content dissemination framework for vehicular networking.
PhD thesis, 2010

A shared sensor network infrastructure.
Proceedings of the 8th International Conference on Embedded Networked Sensor Systems, 2010

Extending Access Point Connectivity through Opportunistic Routing in Vehicular Networks.
Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

2009
A hybrid approach for content-based publish/subscribe in vehicular networks.
Pervasive Mob. Comput., 2009

Persistent Content-based Information Dissemination in Hybrid Vehicular Networks.
Proceedings of the Seventh Annual IEEE International Conference on Pervasive Computing and Communications, 2009

2007
GeOpps: Geographical Opportunistic Routing for Vehicular Networks.
Proceedings of the 2007 International Symposium on a World of Wireless, 2007

Opportunistic spatio-temporal dissemination system for vehicular networks.
Proceedings of the 1st international MobiSys workshop on Mobile opportunistic networking, 2007

Publish/subscribe notification middleware for vehicular networks.
Proceedings of the Middleware 2007, 2007


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