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ORCIDKleomenis Katevas
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2020 – today
- 2024
[i19]Stefanos Laskaridis, Kleomenis Katevas, Lorenzo Minto, Hamed Haddadi:
MELTing point: Mobile Evaluation of Language Transformers. CoRR abs/2403.12844 (2024)- [i18]Hongyan Chang, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Reza Shokri:
Context-Aware Membership Inference Attacks against Pre-trained Large Language Models. CoRR abs/2409.13745 (2024) - 2023
- [i17]Ioannis Arapakis, Panagiotis Papadopoulos, Kleomenis Katevas, Diego Perino:
P4L: Privacy Preserving Peer-to-Peer Learning for Infrastructureless Setups. CoRR abs/2302.13438 (2023) - 2022
- [j6]Diego Perino, Kleomenis Katevas, Andra Lutu, Eduard Marin, Nicolas Kourtellis:
Privacy-preserving AI for future networks. Commun. ACM 65(4): 52-53 (2022) - [j5]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, Nicolas Kourtellis, Roberto Gonzalez, Xavi Olivares, George-Marios Kalatzantonakis-Jullien:
A PIMS Development Kit for New Personal Data Platforms. IEEE Internet Comput. 26(3): 79-84 (2022) - [c19]Kleomenis Katevas, Diego Perino, Nicolas Kourtellis:
FLaaS - enabling practical federated learning on mobile environments. MobiSys 2022: 605-606 - [c18]Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Fabián E. Bustamante, Ben Livshits:
BatteryLab: A Collaborative Platform for Power Monitoring - https: //batterylab.dev. PAM 2022: 97-121 - [c17]Kleomenis Katevas, Diego Perino, Nicolas Kourtellis:
FLaaS - practical federated learning as a service for mobile applications. HotMobile 2022: 130 - [c16]Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas:
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. WSDM 2022: 957-965 - [i16]Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Fabián E. Bustamante, Ben Livshits:
BatteryLab: A Collaborative Platform for Power Monitoring. CoRR abs/2201.12614 (2022) - [i15]Kleomenis Katevas, Diego Perino, Nicolas Kourtellis:
FLaaS: Enabling Practical Federated Learning on Mobile Environments. CoRR abs/2206.10963 (2022) - 2021
- [j4]Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis:
PPFL: Enhancing Privacy in Federated Learning with Confidential Computing. GetMobile Mob. Comput. Commun. 25(4): 35-38 (2021) - [c15]Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis:
PPFL: privacy-preserving federated learning with trusted execution environments. MobiSys 2021: 94-108 - [i14]Fan Mo, Hamed Haddadi, Kleomenis Katevas, Eduard Marin, Diego Perino, Nicolas Kourtellis:
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments. CoRR abs/2104.14380 (2021) - [i13]Dusan Stamenkovic, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Kleomenis Katevas:
Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning. CoRR abs/2110.15097 (2021) - 2020
- [j3]Seyed Ali Osia, Ali Shahin Shamsabadi, Sina Sajadmanesh, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi:
A Hybrid Deep Learning Architecture for Privacy-Preserving Mobile Analytics. IEEE Internet Things J. 7(5): 4505-4518 (2020) - [j2]Seyed Ali Osia, Ali Taheri, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee:
Deep Private-Feature Extraction. IEEE Trans. Knowl. Data Eng. 32(1): 54-66 (2020) - [c14]Nicolas Kourtellis, Kleomenis Katevas, Diego Perino:
FLaaS: Federated Learning as a Service. DistributedML@CoNEXT 2020: 7-13 - [c13]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 - [i12]Kleomenis Katevas, Eugene Bagdasaryan, Jason Waterman, Mohamad Mounir Safadieh, Hamed Haddadi, Deborah Estrin:
Decentralized Policy-Based Private Analytics. CoRR abs/2003.06612 (2020) - [i11]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) - [i10]Nicolas Kourtellis, Kleomenis Katevas, Diego Perino:
FLaaS: Federated Learning as a Service. CoRR abs/2011.09359 (2020)
2010 – 2019
- 2019
- [c12]Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi:
Poster: Towards Characterizing and Limiting Information Exposure in DNN Layers. CCS 2019: 2653-2655 - [c11]Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Benjamin Livshits:
BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices. HotNets 2019: 101-108 - [c10]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 - [c9]Matteo Varvello, Kleomenis Katevas, Wei Hang, Mihai Plesa, Hamed Haddadi, Fabián E. Bustamante, Benjamin Livshits:
BatteryLab, a distributed power monitoring platform for mobile devices: demo abstract. SenSys 2019: 386-387 - [i9]Fan Mo, Ali Shahin Shamsabadi, Kleomenis Katevas, Andrea Cavallaro, Hamed Haddadi:
Towards Characterizing and Limiting Information Exposure in DNN Layers. CoRR abs/1907.06034 (2019) - [i8]Matteo Varvello, Kleomenis Katevas, Mihai Plesa, Hamed Haddadi, Benjamin Livshits:
BatteryLab, A Distributed Power Monitoring Platform For Mobile Devices. CoRR abs/1910.08951 (2019) - 2018
- [b1]Kleomenis Katevas:
Analysing crowd behaviours using mobile sensing. Queen Mary University of London, UK, 2018 - [c8]Kleomenis Katevas, Ioannis Arapakis, Martin Pielot:
Typical phone use habits: intense use does not predict negative well-being. MobileHCI 2018: 11:1-11:13 - [c7]Katrin Hänsel, Kleomenis Katevas, Guido Orgs, Daniel C. Richardson, Akram Alomainy, Hamed Haddadi:
The potential of wearable technology for monitoring social interactions based on interpersonal synchrony. WearSys@MobiSys 2018: 45-47 - [i7]Seyed Ali Ossia, Ali Taheri, Ali Shahin Shamsabadi, Kleomenis Katevas, Hamed Haddadi, Hamid R. Rabiee:
Deep Private-Feature Extraction. CoRR abs/1802.03151 (2018) - [i6]Kleomenis Katevas, Ioannis Arapakis, Martin Pielot:
Typical Phone Use Habits: Intense Use Does Not Predict Negative Well-Being. CoRR abs/1807.02472 (2018) - [i5]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) - 2017
- [j1]Martin Pielot, Bruno Cardoso, Kleomenis Katevas, Joan Serrà, Aleksandar Matic, Nuria Oliver:
Beyond Interruptibility: Predicting Opportune Moments to Engage Mobile Phone Users. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 91:1-91:25 (2017) - [c6]Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà:
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions. EMDL@MobiSys 2017: 19-24 - [c5]Kleomenis Katevas, Laurissa N. Tokarchuk, Hamed Haddadi, Richard G. Clegg, Muhammad Irfan:
Demo: Detecting Group Formations using iBeacon Technology. MobiSys 2017: 190 - [i4]Kleomenis Katevas, Ilias Leontiadis, Martin Pielot, Joan Serrà:
Practical Processing of Mobile Sensor Data for Continual Deep Learning Predictions. CoRR abs/1705.06224 (2017) - [i3]Seyed Ali Ossia, Ali Shahin Shamsabadi, Ali Taheri, Kleomenis Katevas, Hamid R. Rabiee, Nicholas D. Lane, Hamed Haddadi:
Privacy-Preserving Deep Inference for Rich User Data on The Cloud. CoRR abs/1710.01727 (2017) - [i2]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
- [c4]Kleomenis Katevas, Hamed Haddadi, Laurissa N. Tokarchuk, Richard G. Clegg:
Detecting group formations using iBeacon technology. UbiComp Adjunct 2016: 742-752 - [c3]Kleomenis Katevas, Hamed Haddadi, Laurissa N. Tokarchuk:
SensingKit: Evaluating the Sensor Power Consumption in iOS Devices. Intelligent Environments 2016: 222-225 - [i1]Kleomenis Katevas, Hamed Haddadi, Laurissa N. Tokarchuk:
SensingKit: Evaluating the Sensor Power Consumption in iOS devices. CoRR abs/1606.05576 (2016) - 2015
- [c2]Kleomenis Katevas, Hamed Haddadi, Laurissa N. Tokarchuk, Richard G. Clegg:
Walking in Sync: Two is Company, Three's a Crowd. WPA@MobiSys 2015: 25-29 - 2014
- [c1]Kleomenis Katevas, Hamed Haddadi, Laurissa N. Tokarchuk:
Poster: SensingKit: a multi-platform mobile sensing framework for large-scale experiments. MobiCom 2014: 375-378
Coauthor Index
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last updated on 2024-12-05 20:45 CET by the dblp team
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