Poster: SensingKit: a multi-platform mobile sensing framework for large-scale experiments. - Kleomenis Katevas; Hamed Haddadi; Laurissa N. Tokarchuk (MobiCom, 2014)

Walking in Sync: Two is Company, Three's a Crowd. - Kleomenis Katevas; Hamed Haddadi; Laurissa N. Tokarchuk; Richard G. Clegg (WPA@MobiSys, 2015)

Detecting group formations using iBeacon technology. - Kleomenis Katevas; Hamed Haddadi; Laurissa N. Tokarchuk; Richard G. Clegg (UbiComp Adjunct, 2016)

SensingKit: Evaluating the Sensor Power Consumption in iOS Devices. - Kleomenis Katevas; Hamed Haddadi; Laurissa N. Tokarchuk (Intelligent Environments, 2016)

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

Demo: Detecting Group Formations using iBeacon Technology. - Kleomenis Katevas; Laurissa N. Tokarchuk; Hamed Haddadi; Richard G. Clegg; Muhammad Irfan (MobiSys, 2017)

Privacy-Preserving Deep Inference for Rich User Data on The Cloud. - Seyed Ali Ossia; Ali Shahin Shamsabadi; Ali Taheri; Kleomenis Katevas; Hamid R. Rabiee; Nicholas D. Lane; Hamed Haddadi (CoRR, 2017)

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

Beyond Interruptibility: Predicting Opportune Moments to Engage Mobile Phone Users. - Martin Pielot; Bruno Cardoso; Kleomenis Katevas; Joan Serrà; Aleksandar Matic; Nuria Oliver (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Typical phone use habits: intense use does not predict negative well-being. - Kleomenis Katevas; Ioannis Arapakis; Martin Pielot (MobileHCI, 2018)

The potential of wearable technology for monitoring social interactions based on interpersonal synchrony. - Katrin Hänsel; Kleomenis Katevas; Guido Orgs; Daniel C. Richardson; Akram Alomainy; Hamed Haddadi (WearSys@MobiSys, 2018)

Analysing crowd behaviours using mobile sensing. - Kleomenis Katevas (2018)

Poster: Towards Characterizing and Limiting Information Exposure in DNN Layers. - Fan Mo 004; Ali Shahin Shamsabadi; Kleomenis Katevas; Andrea Cavallaro; Hamed Haddadi (CCS, 2019)

BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices. - Matteo Varvello; Kleomenis Katevas; Mihai Plesa; Hamed Haddadi; Benjamin Livshits (HotNets, 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)

BatteryLab, a distributed power monitoring platform for mobile devices: demo abstract. - Matteo Varvello; Kleomenis Katevas; Wei Hang 003; Mihai Plesa; Hamed Haddadi; Fabián E. Bustamante; Benjamin Livshits (SenSys, 2019)

Towards Characterizing and Limiting Information Exposure in DNN Layers. - Fan Mo 004; Ali Shahin Shamsabadi; Kleomenis Katevas; Andrea Cavallaro; Hamed Haddadi (CoRR, 2019)

FLaaS: Federated Learning as a Service. - Nicolas Kourtellis; Kleomenis Katevas; Diego Perino (DistributedML@CoNEXT, 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)

Decentralized Policy-Based Private Analytics. - Kleomenis Katevas; Eugene Bagdasaryan; Jason Waterman; Mohamad Mounir Safadieh; Hamed Haddadi; Deborah Estrin (CoRR, 2020)

A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics. - Seyed Ali Osia; Ali Shahin Shamsabadi; Sina Sajadmanesh; Ali Taheri; Kleomenis Katevas; Hamid R. Rabiee; Nicholas D. Lane; Hamed Haddadi (IEEE Internet Things J., 2020)

Deep Private-Feature Extraction. - Seyed Ali Osia; Ali Taheri; Ali Shahin Shamsabadi; Kleomenis Katevas; Hamed Haddadi; Hamid R. Rabiee (IEEE Trans. Knowl. Data Eng., 2020)

PPFL: privacy-preserving federated learning with trusted execution environments. - Fan Mo 004; Hamed Haddadi; Kleomenis Katevas; Eduard Marin; Diego Perino; Nicolas Kourtellis (MobiSys, 2021)

PPFL: Enhancing Privacy in Federated Learning with Confidential Computing. - Fan Mo 004; Hamed Haddadi; Kleomenis Katevas; Eduard Marin; Diego Perino; Nicolas Kourtellis (GetMobile Mob. Comput. Commun., 2021)

FLaaS - enabling practical federated learning on mobile environments. - Kleomenis Katevas; Diego Perino; Nicolas Kourtellis (MobiSys, 2022)

BatteryLab: A Collaborative Platform for Power Monitoring - https: //batterylab.dev. - Matteo Varvello; Kleomenis Katevas; Mihai Plesa; Hamed Haddadi; Fabián E. Bustamante; Ben Livshits (PAM, 2022)

FLaaS - practical federated learning as a service for mobile applications. - Kleomenis Katevas; Diego Perino; Nicolas Kourtellis (HotMobile, 2022)

Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. - Dusan Stamenkovic; Alexandros Karatzoglou; Ioannis Arapakis; Xin Xin 003; Kleomenis Katevas (WSDM, 2022)

Privacy-preserving AI for future networks. - Diego Perino; Kleomenis Katevas; Andra Lutu; Eduard Marin; Nicolas Kourtellis (Commun. ACM, 2022)

BatteryLab: A Collaborative Platform for Power Monitoring. - Matteo Varvello; Kleomenis Katevas; Mihai Plesa; Hamed Haddadi; Fabián E. Bustamante; Ben Livshits (CoRR, 2022)

A PIMS Development Kit for New Personal Data Platforms. - Nikhil Jha; Martino Trevisan; Luca Vassio; Marco Mellia; Stefano Traverso; Álvaro García-Recuero; Nikolaos Laoutaris; Amir Mehrjoo; Santiago Andrés Azcoitia; Rubén Cuevas Rumín; Kleomenis Katevas; Panagiotis Papadopoulos; et al. (IEEE Internet Comput., 2022)

P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups. - Ioannis Arapakis; Panagiotis Papadopoulos; Kleomenis Katevas; Diego Perino (CoRR, 2023)

MELTing Point: Mobile Evaluation of Language Transformers. - Stefanos Laskaridis; Kleomenis Katevas; Lorenzo Minto; Hamed Haddadi (MobiCom, 2024)

Context-Aware Membership Inference Attacks against Pre-trained Large Language Models. - Hongyan Chang; Ali Shahin Shamsabadi; Kleomenis Katevas; Hamed Haddadi; Reza Shokri (CoRR, 2024)