Publications
Sylvain Chatel, Christian Mouchet, Ali Utkan Sahin, Apostolos Pyrgelis, Carmela Troncoso, and Jean-Pierre Hubaux, PELTA -- Shielding Multiparty-FHE against Malicious Adversaries, in 30th ACM Conference on Computer and Communications Security (CCS), Copenhagen, Denmark, 2023
Francesco Intoci, Julian Sturm, Daniel Fraunholz, Apostolos Pyrgelis, and Colin Barschel, P3LI5: Practical and Confidential Lawful Interception on the 5G Core, in IEEE Conference on Communications and Network Security (CNS), Orlando, Florida, USA, 2023
Sinem Sav, Abdularhman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, and Jean-Pierre Hubaux, Privacy-Preserving Federated Recurrent Neural Networks, in Proceedings on Privacy Enhancing Technologies (PoPETS), Lausanne, Switzerland, 2023
Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan R. Troncoso-Pastoriza, and Jean-Pierre Hubaux, slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference, in 5th Workshop on Cloud Security and Privacy (Cloud S&P), co-located with the 21st International Conference on Applied Cryptography and Network Security (ACNS), Kyoto, Japan, 2023
David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, Bonnie Berger, and Jean-Pierre Hubaux, Scalable and Privacy-Preserving Federated Principal Component Analysis, in IEEE Security and Privacy (S&P), San Francisco, California, USA, 2023
Hyunghoon Cho, David Froelicher, Jeffrey Chen, Manaswitha Edupalli, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, Jean-Pierre Hubaux, and Bonnie Berger, Secure and Federated Genome-Wide Association Studies for Biobank-Scale Datasets, in bioRxiv pre-print, 2022
Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, and Jean-Pierre Hubaux, Verifiable Encodings for Secure Homomorphic Analytics, in arXiv pre-print, 2022
Carmela Troncoso, Dan Bogdanov, Edouard Bugnion, Sylvain Chatel, Cas Cremers, Seda Gürses, Jean-Pierre Hubaux, Dennis Jackson, James R. Larus, Wouter Lueks, Rui Oliveira, Mathias Payer, Bart Preneel, Apostolos Pyrgelis, Marcel Salathé, Theresa Stadler, and Michael Veale, Lessons from a Pandemic: Deploying Decentralized Privacy-Preserving Proximity Tracing, in Communications of the ACM, September 2022
Anisa Halimi, Leonard Dervishi, Erman Ayday, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, Jean-Pierre Hubaux, Xiaoqian Jiang, and Jaideep Vaidya, Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies, in Proceedings on Privacy Enhancing Technologies (PoPETS), Sydney, Australia, 2022
Ludovic Barman, Alexandre Dumur, Apostolos Pyrgelis, and Jean-Pierre Hubaux, Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices, in International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Virtual Event, 2021
Sylvain Chatel, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, and Jean-Pierre Hubaux, Privacy and Integrity Preserving Computations with CRISP, in 30th Usenix Security Symposium, Virtual Event, 2021
Sylvain Chatel, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, and Jean-Pierre Hubaux, SoK: Privacy-Preserving Collaborative Tree-based Model Learning, in Proceedings on Privacy Enhancing Technologies (PoPETS), Virtual Event, 2021
David Froelicher, Juan R. Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, and Jean-Pierre Hubaux, Scalable Privacy-Preserving Distributed Learning, in Proceedings on Privacy Enhancing Technologies (PoPETS), Virtual Event, 2021
Sinem Sav, Apostolos Pyrgelis, Juan R. Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, and Jean-Pierre Hubaux, POSEIDON: Privacy-Preserving Federated Neural Network Learning, in Proceedings of the 28th Network and Distributed System Security Symposium (NDSS), Virtual Event, 2021
Ludovic Barman, Italo Dacosta, Mahdi Zamani, Ennan Zhai, Apostolos Pyrgelis, Bryan Ford, Joan Feigenbaum, and Jean-Pierre Hubaux, PriFi: Low-Latency Anonymity for Organizational Networks, in Proceedings on Privacy Enhancing Technologies (PoPETS), Virtual Event, 2020
Apostolos Pyrgelis, Carmela Troncoso, and Emiliano De Cristofaro, Measuring Membership Privacy on Aggregate Location Time-Series, in ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), Virtual Event, 2020
Carmela Troncoso, Mathias Payer, Jean-Pierre Hubaux, Marcel Salathe, James Larus, Edouard Bugnion, Wouter Lueks, Theresa Stadler, Apostolos Pyrgelis, Daniele Antonioli, Ludovic Barman, Sylvain Chatel, Kenneth Paterson, Srdjan Capkun, David Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel Smart, Aysajan Abidin, Seda Gurses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, and Jose Pereira. Decentralized Privacy-Preserving Proximity Tracing, in IEEE Data Engineering Bulletin, Volume 43, 2020
Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serra, and Claudio Soriente, There Goes Wally: Anonymously Sharing Your Location Gives You Away, in IEEE International Conference on Big Data, Seattle, Washington, USA, 2018
Luca Melis, Apostolos Pyrgelis, and Emiliano De Cristofaro, On Collaborative Predictive Blacklisting, in ACM SIGCOMM Computer Communication Review (CCR), Volume 48, Issue 5, October 2018
Apostolos Pyrgelis, Carmela Troncoso, and Emiliano De Cristofaro, Knock Knock, Who's There? Membership Inference on Aggregate Location Data, in Proceedings of the 25th Network and Distributed System Security Symposium (NDSS), San Diego, California, USA, 2018
Apostolos Pyrgelis, Carmela Troncoso, and Emiliano De Cristofaro, What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy, in Proceedings on Privacy Enhancing Technologies (PoPETS), Minneapolis, Minnesota, USA, 2017
Apostolos Pyrgelis, Emiliano De Cristofaro, and Gordon Ross, Privacy-Friendly Mobility Analytics using Aggregate Location Data, in 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Burlingame, California, USA, 201
Ioannis Chatzigiannakis, Andrea Vitaletti, and Apostolos Pyrgelis, A Privacy-Preserving Smart Parking System Using an IoT Elliptic Curve Based Security Platform, in Elsevier Journal of Computer Communications, 2016
Vasiliki Liagkou, George Metakides, Apostolos Pyrgelis, Christoforos Raptopoulos, and Yannis Stamatiou, Privacy Preserving Course Evaluations in Greek Higher Education Institutes: an e-Participation Case Study With the Empowerment of Attribute Based Credentials, in Annual Privacy Forum, Limassol, Cyprus, 2012
Ioannis Chatzigiannakis, Apostolos Pyrgelis, Paul Spirakis, and Yannis Stamatiou, Elliptic Curve Based Zero Knowledge Proofs and their Applicability on Resource Constrained Devices, in Mobile Adhoc and Sensor Systems (MASS), Valencia, Spain, 2011
Dimitrios Amaxilatis, Ioannis Chatzigiannakis, Shlomi Dolev, Christos Koninis, Apostolos Pyrgelis, and Paul Spirakis, Adaptive Hierarchical Network Structures for Wireless Sensor Networks, in 3rd ICST International Conference on Ad Hoc Networks (ADHOCNETS), Paris, France, 2011
Tobias Baumgartner, Ioannis Chatzigiannakis, Sandor Fekete, Christos Koninis, Alexander Kröller, and Apostolos Pyrgelis, Wiselib: A Generic Algorithm Library for Heterogeneous Sensor Networks, in 7th European Conference on Wireless Sensor Networks (EWSN), Coimbra, Portugal, 2010
Talks
Measuring Membership Privacy on Aggregate Location Time-Series, 9 June 2020, ACM SIGMETRICS, Virtual Event
Building and Evaluating Privacy-Friendly Mobility Analytics on Aggregate Location Data, 29 June 2018, PrivaSec Seminar, EPFL, Switzerland
Knock Knock, Who's There? Membership Inference on Aggregate Location Data, 20 Feb 2018, NDSS, San Diego, California, USA
What Does the Crowd Say About You? Evaluating Aggregation-based Location Privacy, 19 Jul 2017, PoPETS, Minneapolis, Minnesota, USA
Privacy-Friendly Mobility Analytics using Aggregate Location Data, 3 Nov 2016, ACM SIGSPATIAL, Burlingame, California, USA
Cryptography and Security in Wireless Sensor Networks, 14 Oct 2009, FRONTS 2nd Winterschool, Braunschweig, Germany