Publications
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 [Details]
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 [Details]
Sinem Sav, Abdularhman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, and Jean-Pierre Hubaux, Privacy-Preserving Federated Recurrent Neural Networks, in arXiv pre-print, 2022 [Details]
Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, and Jean-Pierre Hubaux, Verifiable Encodings for Secure Homomorphic Analytics, in arXiv pre-print, 2022 [Details]
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 [Details]
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), Hybrid Event, 2022 [Details]
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 [Details]
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 [Details]
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 [Details]
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 [Details]
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 [Details]
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 [Details]
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 [Details]
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 [Details]
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, WA, USA, 2018 [Details]
Luca Melis, Apostolos Pyrgelis, and Emiliano De Cristofaro, On Collaborative Predictive Blacklisting, in ACM SIGCOMM Computer Communication Review (Volume 48, Issue 5, October 2018) [Details]
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 [Details]
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 [Details]
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, 2016 [Details]
Ioannis Chatzigiannakis, Andrea Vitaletti, and Apostolos Pyrgelis, A privacy-preserving smart parking system using an IoT elliptic curve based security platform, in Journal of Computer Communications, 2016 [Details]
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 [Details]
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 [Details]
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, Paris, France, 2011 [Details]
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 [Details]
Talks
Measuring Membership Privacy on Aggregate Location Time-Series, 9 June 2020, ACM SIGMETRICS, Virtual Event [Details]
Building and Evaluating Privacy-Friendly Mobility Analytics on Aggregate Location Data, 29 June 2018, PrivaSec Seminar, EPFL, Switzerland [Details]
Knock Knock, Who's There? Membership Inference on Aggregate Location Data, 20 Feb 2018, NDSS, San Diego, California, USA [Details]
What Does the Crowd Say About You? Evaluating Aggregation-based Location Privacy, 19 Jul 2017, PoPETS, Minneapolis, Minnesota, USA [Details]
Privacy-Friendly Mobility Analytics using Aggregate Location Data, 3 Nov 2016, ACM SIGSPATIAL, Burlingame, California, USA [Details]
Cryptography and Security in Wireless Sensor Networks, 14 Oct 2009, FRONTS 2nd Winterschool, Braunschweig, Germany [Details]