Wiselib: A Generic Algorithm Library for Heterogeneous Sensor Networks. - Tobias Baumgartner 001; Ioannis Chatzigiannakis; Sándor P. Fekete; Christos Koninis; Alexander Kröller; Apostolos Pyrgelis (EWSN, 2010)

Adaptive Hierarchical Network Structures for Wireless Sensor Networks. - Dimitrios Amaxilatis; Ioannis Chatzigiannakis; Shlomi Dolev; Christos Koninis; Apostolos Pyrgelis; Paul G. Spirakis (ADHOCNETS, 2011)

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

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

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 (APF, 2012)

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, 2015)

Privacy-friendly mobility analytics using aggregate location data. - Apostolos Pyrgelis; Emiliano De Cristofaro; Gordon J. Ross (SIGSPATIAL/GIS, 2016)

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

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

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

Knock Knock, Who's There? Membership Inference on Aggregate Location Data. - Apostolos Pyrgelis; Carmela Troncoso; Emiliano De Cristofaro (NDSS, 2018)

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

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

Evaluating privacy-friendly mobility analytics on aggregate location data. - Apostolos Pyrgelis (2019)

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)

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)

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 (NDSS, 2021)

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

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)

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

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 001; Mathias Payer; et al. (Commun. ACM, 2022)

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

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 (ACNS Workshops, 2023)

Poster: Verifiable Encodings for Maliciously-Secure Homomorphic Encryption Evaluation. - Sylvain Chatel; Christian Knabenhans; Apostolos Pyrgelis; Carmela Troncoso; Jean-Pierre Hubaux (CCS, 2023)

P3LI5: Practical and confidEntial Lawful Interception on the 5G core. - Francesco Intoci; Julian Sturm; Daniel Fraunholz; Apostolos Pyrgelis; Colin Barschel (CNS, 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 (SP, 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)

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

VERITAS: Plaintext Encoders for Practical Verifiable Homomorphic Encryption. - Sylvain Chatel; Christian Knabenhans; Apostolos Pyrgelis; Carmela Troncoso; Jean-Pierre Hubaux (CCS, 2024)

BMI: Bounded Mutual Information for Efficient Privacy-Preserving Feature Selection. - David Eklund; Alfonso Iacovazzi; Han Wang 031; Apostolos Pyrgelis; Shahid Raza (ESORICS (2), 2024)

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)

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

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

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