VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption - Sylvain Chatel; Christian Knabenhans; Apostolos Pyrgelis; Carmela Troncoso; Jean-Pierre Hubaux (Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, CCS 2024, Salt Lake City, UT, USA, October 14-18, 2024, 2024)

Helium: Scalable MPC among Lightweight Participants and under Churn - Christian Mouchet; Sylvain Chatel; Apostolos Pyrgelis; Carmela Troncoso (Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security, CCS 2024, Salt Lake City, UT, USA, October 14-18, 2024, 2024)

BMI: Bounded Mutual Information for Efficient Privacy-Preserving Feature Selection - David Eklund; Alfonso Iacovazzi; Han Wang; Apostolos Pyrgelis; Shahid Raza (Computer Security - ESORICS 2024 - 29th European Symposium on Research in Computer Security, Bydgoszcz, Poland, September 16-20, 2024, Proceedings, Part II, 2024)

VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption (Version 3bb0f7d69339cca46798cf37bf979add0d554e1e) - Sylvain Chatel; Christian Knabenhans; Apostolos Pyrgelis; Carmela Troncoso; Jean-Pierre Hubaux (Zenodo, 2024)
Accessed on YYYY-MM-DD.

VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption (Version 2) - Sylvain Chatel; Christian Knabenhans; Apostolos Pyrgelis; Carmela Troncoso; Jean-Pierre Hubaux (Zenodo, 2024)
Accessed on YYYY-MM-DD.

VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption (Version 3) - Sylvain Chatel; Christian Knabenhans; Apostolos Pyrgelis; Carmela Troncoso; Jean-Pierre Hubaux (Zenodo, 2024)
Accessed on YYYY-MM-DD.

How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study - Natalija Mitic; Apostolos Pyrgelis; Sinem Sav (CoRR, 2024)

Helium: Scalable MPC among Lightweight Participants and under Churn - Christian Mouchet; Sylvain Chatel; Apostolos Pyrgelis; Carmela Troncoso (IACR Cryptol. ePrint Arch., 2024)

Privacy-Preserving Federated Recurrent Neural Networks - Sinem Sav; Abdulrahman Diaa; Apostolos Pyrgelis; Jean-Philippe Bossuat; Jean-Pierre Hubaux (Proc. Priv. Enhancing Technol., 2023)

slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference - Francesco Intoci; Sinem Sav; Apostolos Pyrgelis; Jean-Philippe Bossuat; Juan Ramón Troncoso-Pastoriza; Jean-Pierre Hubaux (Applied Cryptography and Network Security Workshops - ACNS 2023 Satellite Workshops, ADSC, AIBlock, AIHWS, AIoTS, CIMSS, Cloud S&P, SCI, SecMT, SiMLA, Kyoto, Japan, June 19-22, 2023, Proceedings, 2023)

PELTA - Shielding Multiparty-FHE against Malicious Adversaries - Sylvain Chatel; Christian Mouchet; Ali Utkan Sahin; Apostolos Pyrgelis; Carmela Troncoso; Jean-Pierre Hubaux (Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, CCS 2023, Copenhagen, Denmark, November 26-30, 2023, 2023)

Poster: Verifiable Encodings for Maliciously-Secure Homomorphic Encryption Evaluation - Sylvain Chatel; Christian Knabenhans; Apostolos Pyrgelis; Carmela Troncoso; Jean-Pierre Hubaux (Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, CCS 2023, Copenhagen, Denmark, November 26-30, 2023, 2023)

P3LI5: Practical and confidEntial Lawful Interception on the 5G core - Francesco Intoci; Julian Sturm; Daniel Fraunholz; Apostolos Pyrgelis; Colin Barschel (IEEE Conference on Communications and Network Security, CNS 2023, Orlando, FL, USA, October 2-5, 2023, 2023)

Scalable and Privacy-Preserving Federated Principal Component Analysis - David Froelicher; Hyunghoon Cho; Manaswitha Edupalli; Joao Sa Sousa; Jean-Philippe Bossuat; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; Bonnie Berger; Jean-Pierre Hubaux (44th IEEE Symposium on Security and Privacy, SP 2023, San Francisco, CA, USA, May 21-25, 2023, 2023)

Scalable and Privacy-Preserving Federated Principal Component Analysis - David Froelicher; Hyunghoon Cho; Manaswitha Edupalli; Joao Sa Sousa; Jean-Philippe Bossuat; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; Bonnie Berger; Jean-Pierre Hubaux (CoRR, 2023)

slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference - Francesco Intoci; Sinem Sav; Apostolos Pyrgelis; Jean-Philippe Bossuat; Juan Ramón Troncoso-Pastoriza; Jean-Pierre Hubaux (CoRR, 2023)

P3LI5: Practical and Confidential Lawful Interception on the 5G Core - Francesco Intoci; Julian Sturm; Daniel Fraunholz; Apostolos Pyrgelis; Colin Barschel (CoRR, 2023)

PELTA - Shielding Multiparty-FHE against Malicious Adversaries - Sylvain Chatel; Christian Mouchet; Ali Utkan Sahin; Apostolos Pyrgelis; Carmela Troncoso; Jean-Pierre Hubaux (IACR Cryptol. ePrint Arch., 2023)

Deploying decentralized, privacy-preserving proximity tracing - Carmela Troncoso; Dan Bogdanov; Edouard Bugnion; Sylvain Chatel; Cas Cremers; Seda F. Gürses; Jean-Pierre Hubaux; Dennis Jackson; James R. Larus; Wouter Lueks; Rui Oliveira; Mathias Payer; et al. (Commun. ACM, 2022)

Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies - Anisa Halimi; Leonard Dervishi; Erman Ayday; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; Jean-Pierre Hubaux; Xiaoqian Jiang; Jaideep Vaidya (Proc. Priv. Enhancing Technol., 2022)

Privacy-Preserving Federated Recurrent Neural Networks - Sinem Sav; Abdulrahman Diaa; Apostolos Pyrgelis; Jean-Philippe Bossuat; Jean-Pierre Hubaux (CoRR, 2022)

Verifiable Encodings for Secure Homomorphic Analytics - Sylvain Chatel; Christian Knabenhans; Apostolos Pyrgelis; Jean-Pierre Hubaux (CoRR, 2022)

Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices - Ludovic Barman; Alexandre Dumur; Apostolos Pyrgelis; Jean-Pierre Hubaux (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Scalable Privacy-Preserving Distributed Learning - David Froelicher; Juan Ramón Troncoso-Pastoriza; Apostolos Pyrgelis; Sinem Sav; Joao Sa Sousa; Jean-Philippe Bossuat; Jean-Pierre Hubaux (Proc. Priv. Enhancing Technol., 2021)

SoK: Privacy-Preserving Collaborative Tree-based Model Learning - Sylvain Chatel; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; Jean-Pierre Hubaux (Proc. Priv. Enhancing Technol., 2021)

POSEIDON: Privacy-Preserving Federated Neural Network Learning - Sinem Sav; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; David Froelicher; Jean-Philippe Bossuat; Joao Sa Sousa; Jean-Pierre Hubaux (28th Annual Network and Distributed System Security Symposium, NDSS 2021, virtually, February 21-25, 2021, 2021)

Privacy and Integrity Preserving Computations with CRISP - Sylvain Chatel; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; Jean-Pierre Hubaux (30th USENIX Security Symposium, USENIX Security 2021, August 11-13, 2021, 2021)

Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies - Anisa Halimi; Leonard Dervishi; Erman Ayday; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; Jean-Pierre Hubaux; Xiaoqian Jiang; Jaideep Vaidya (CoRR, 2021)

SoK: Privacy-Preserving Collaborative Tree-based Model Learning - Sylvain Chatel; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; Jean-Pierre Hubaux (CoRR, 2021)

Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices - Ludovic Barman; Alexandre Dumur; Apostolos Pyrgelis; Jean-Pierre Hubaux (CoRR, 2021)

Decentralized Privacy-Preserving Proximity Tracing - Carmela Troncoso; Mathias Payer; Jean-Pierre Hubaux; Marcel Salathé; James R. Larus; Wouter Lueks; Theresa Stadler; Apostolos Pyrgelis; Daniele Antonioli; Ludovic Barman; Sylvain Chatel; Kenneth G. Paterson; et al. (IEEE Data Eng. Bull., 2020)

Measuring Membership Privacy on Aggregate Location Time-Series - Apostolos Pyrgelis; Carmela Troncoso; Emiliano De Cristofaro (Proc. ACM Meas. Anal. Comput. Syst., 2020)

PriFi: Low-Latency Anonymity for Organizational Networks - Ludovic Barman; Italo Dacosta; Mahdi Zamani; Ennan Zhai; Apostolos Pyrgelis; Bryan Ford; Joan Feigenbaum; Jean-Pierre Hubaux (Proc. Priv. Enhancing Technol., 2020)

Measuring Membership Privacy on Aggregate Location Time-Series - Apostolos Pyrgelis; Carmela Troncoso; Emiliano De Cristofaro (Abstracts of the 2020 SIGMETRICS/Performance Joint International Conference on Measurement and Modeling of Computer Systems, Boston, MA, USA, June, 8-12, 2020, 2020)

Scalable Privacy-Preserving Distributed Learning - David Froelicher; Juan Ramón Troncoso-Pastoriza; Apostolos Pyrgelis; Sinem Sav; Joao Sa Sousa; Jean-Philippe Bossuat; Jean-Pierre Hubaux (CoRR, 2020)

Decentralized Privacy-Preserving Proximity Tracing - Carmela Troncoso; Mathias Payer; Jean-Pierre Hubaux; Marcel Salathé; James R. Larus; Edouard Bugnion; Wouter Lueks; Theresa Stadler; Apostolos Pyrgelis; Daniele Antonioli; Ludovic Barman; Sylvain Chatel; et al. (CoRR, 2020)

Privacy and Integrity Preserving Computations with CRISP - Sylvain Chatel; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; Jean-Pierre Hubaux (CoRR, 2020)

POSEIDON: Privacy-Preserving Federated Neural Network Learning - Sinem Sav; Apostolos Pyrgelis; Juan Ramón Troncoso-Pastoriza; David Froelicher; Jean-Philippe Bossuat; Joao Sa Sousa; Jean-Pierre Hubaux (CoRR, 2020)

Evaluating privacy-friendly mobility analytics on aggregate location data - Apostolos Pyrgelis (University of London, UK, 2019)

Under the Hood of Membership Inference Attacks on Aggregate Location Time-Series - Apostolos Pyrgelis; Carmela Troncoso; Emiliano De Cristofaro (CoRR, 2019)

On collaborative predictive blacklisting - Luca Melis; Apostolos Pyrgelis; Emiliano De Cristofaro (Comput. Commun. Rev., 2018)

There goes Wally: Anonymously sharing your location gives you away - Apostolos Pyrgelis; Nicolas Kourtellis; Ilias Leontiadis; Joan Serrà; Claudio Soriente (IEEE International Conference on Big Data (IEEE BigData 2018), Seattle, WA, USA, December 10-13, 2018, 2018)

Knock Knock, Who's There? Membership Inference on Aggregate Location Data - Apostolos Pyrgelis; Carmela Troncoso; Emiliano De Cristofaro (25th Annual Network and Distributed System Security Symposium, NDSS 2018, San Diego, California, USA, February 18-21, 2018, 2018)

There goes Wally: Anonymously sharing your location gives you away - Apostolos Pyrgelis; Nicolas Kourtellis; Ilias Leontiadis; Joan Serrà; Claudio Soriente (CoRR, 2018)

On Collaborative Predictive Blacklisting - Luca Melis; Apostolos Pyrgelis; Emiliano De Cristofaro (CoRR, 2018)

What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy - Apostolos Pyrgelis; Carmela Troncoso; Emiliano De Cristofaro (Proc. Priv. Enhancing Technol., 2017)

What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy - Apostolos Pyrgelis; Carmela Troncoso; Emiliano De Cristofaro (CoRR, 2017)

Knock Knock, Who's There? Membership Inference on Aggregate Location Data - Apostolos Pyrgelis; Carmela Troncoso; Emiliano De Cristofaro (CoRR, 2017)

A privacy-preserving smart parking system using an IoT elliptic curve based security platform - Ioannis Chatzigiannakis; Andrea Vitaletti; Apostolos Pyrgelis (Comput. Commun., 2016)

Privacy-friendly mobility analytics using aggregate location data - Apostolos Pyrgelis; Emiliano De Cristofaro; Gordon J. Ross (Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS 2016, Burlingame, California, USA, October 31 - November 3, 2016, 2016)

Privacy-Friendly Mobility Analytics using Aggregate Location Data - Apostolos Pyrgelis; Emiliano De Cristofaro; Gordon J. Ross (CoRR, 2016)

Course Evaluation in Higher Education: the Patras Pilot of ABC4Trust - Yannis C. Stamatiou; Zinaida Benenson; Anna Girard; Ioannis Krontiris; Vasiliki Liagkou; Apostolos Pyrgelis; Welderufael Tesfay (Attribute-based Credentials for Trust: Identity in the Information Society, 2015)

Privacy Preserving Course Evaluations in Greek Higher Education Institutes: An e-Participation Case Study with the Empowerment of Attribute Based Credentials - Vasiliki Liagkou; George Metakides; Apostolos Pyrgelis; Christoforos L. Raptopoulos; Paul G. Spirakis; Yannis C. Stamatiou (Privacy Technologies and Policy - First Annual Privacy Forum, APF 2012, Limassol, Cyprus, October 10-11, 2012, Revised Selected Papers, 2012)

Adaptive Hierarchical Network Structures for Wireless Sensor Networks - Dimitrios Amaxilatis; Ioannis Chatzigiannakis; Shlomi Dolev; Christos Koninis; Apostolos Pyrgelis; Paul G. Spirakis (Ad Hoc Networks - Third International ICST Conference, ADHOCNETS 2011, Paris, France, September 21-23, 2011, Revised Selected Papers, 2011)

Elliptic Curve Based Zero Knowledge Proofs and their Applicability on Resource Constrained Devices - Ioannis Chatzigiannakis; Apostolos Pyrgelis; Paul G. Spirakis; Yannis C. Stamatiou (IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, MASS 2011, Valencia, Spain, October 17-22, 2011, 2011)

Wiselib: A Generic Algorithm Library for Heterogeneous Sensor Networks - Tobias Baumgartner; Ioannis Chatzigiannakis; Sándor P. Fekete; Christos Koninis; Alexander Kröller; Apostolos Pyrgelis (CoRR, 2011)

Component Based Clustering in Wireless Sensor Networks - Dimitrios Amaxilatis; Ioannis Chatzigiannakis; Christos Koninis; Apostolos Pyrgelis (CoRR, 2011)

Elliptic Curve Based Zero Knowledge Proofs and Their Applicability on Resource Constrained Devices - Ioannis Chatzigiannakis; Apostolos Pyrgelis; Paul G. Spirakis; Yannis C. Stamatiou (CoRR, 2011)

Wiselib: A Generic Algorithm Library for Heterogeneous Sensor Networks - Tobias Baumgartner; Ioannis Chatzigiannakis; Sándor P. Fekete; Christos Koninis; Alexander Kröller; Apostolos Pyrgelis (Wireless Sensor Networks, 7th European Conference, EWSN 2010, Coimbra, Portugal, February 17-19, 2010. Proceedings, 2010)