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2020 – today
- 2024
[c16]David Eklund, Alfonso Iacovazzi, Han Wang, Apostolos Pyrgelis, Shahid Raza:
BMI: Bounded Mutual Information for Efficient Privacy-Preserving Feature Selection. ESORICS (2) 2024: 353-373- [i24]Natalija Mitic, Apostolos Pyrgelis, Sinem Sav:
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study. CoRR abs/2402.16087 (2024) - [i23]Christian Mouchet, Sylvain Chatel, Apostolos Pyrgelis, Carmela Troncoso:
Helium: Scalable MPC among Lightweight Participants and under Churn. IACR Cryptol. ePrint Arch. 2024: 194 (2024) - 2023
- [j12]Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux:
Privacy-Preserving Federated Recurrent Neural Networks. Proc. Priv. Enhancing Technol. 2023(4): 500-521 (2023) - [c15]Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux:
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference. ACNS Workshops 2023: 359-377 - [c14]Sylvain Chatel
, Christian Mouchet, Ali Utkan Sahin, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux:
PELTA - Shielding Multiparty-FHE against Malicious Adversaries. CCS 2023: 711-725 - [c13]Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux:
Poster: Verifiable Encodings for Maliciously-Secure Homomorphic Encryption Evaluation. CCS 2023: 3525-3527 - [c12]Francesco Intoci, Julian Sturm, Daniel Fraunholz, Apostolos Pyrgelis, Colin Barschel:
P3LI5: Practical and confidEntial Lawful Interception on the 5G core. CNS 2023: 1-9 - [c11]David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux:
Scalable and Privacy-Preserving Federated Principal Component Analysis. SP 2023: 1908-1925 - [i22]David Froelicher, Hyunghoon Cho, Manaswitha Edupalli, Joao Sa Sousa, Jean-Philippe Bossuat, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Bonnie Berger, Jean-Pierre Hubaux:
Scalable and Privacy-Preserving Federated Principal Component Analysis. CoRR abs/2304.00129 (2023) - [i21]Francesco Intoci, Sinem Sav, Apostolos Pyrgelis, Jean-Philippe Bossuat, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux:
slytHErin: An Agile Framework for Encrypted Deep Neural Network Inference. CoRR abs/2305.00690 (2023) - [i20]Francesco Intoci, Julian Sturm, Daniel Fraunholz, Apostolos Pyrgelis, Colin Barschel:
P3LI5: Practical and Confidential Lawful Interception on the 5G Core. CoRR abs/2308.14164 (2023) - [i19]Sylvain Chatel, Christian Mouchet, Ali Utkan Sahin, Apostolos Pyrgelis, Carmela Troncoso, Jean-Pierre Hubaux:
PELTA - Shielding Multiparty-FHE against Malicious Adversaries. IACR Cryptol. ePrint Arch. 2023: 642 (2023) - 2022
- [j11]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, Bart Preneel, Apostolos Pyrgelis, Marcel Salathé, Theresa Stadler, Michael Veale:
Deploying decentralized, privacy-preserving proximity tracing. Commun. ACM 65(9): 48-57 (2022) - [j10]Anisa Halimi, Leonard Dervishi, Erman Ayday, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies. Proc. Priv. Enhancing Technol. 2022(3): 732-753 (2022) - [i18]Sinem Sav, Abdulrahman Diaa, Apostolos Pyrgelis, Jean-Philippe Bossuat, Jean-Pierre Hubaux:
Privacy-Preserving Federated Recurrent Neural Networks. CoRR abs/2207.13947 (2022) - [i17]Sylvain Chatel, Christian Knabenhans, Apostolos Pyrgelis, Jean-Pierre Hubaux:
Verifiable Encodings for Secure Homomorphic Analytics. CoRR abs/2207.14071 (2022) - 2021
- [j9]Ludovic Barman, Alexandre Dumur, Apostolos Pyrgelis, Jean-Pierre Hubaux:
Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5(2): 54:1-54:45 (2021) - [j8]David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux:
Scalable Privacy-Preserving Distributed Learning. Proc. Priv. Enhancing Technol. 2021(2): 323-347 (2021) - [j7]Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux:
SoK: Privacy-Preserving Collaborative Tree-based Model Learning. Proc. Priv. Enhancing Technol. 2021(3): 182-203 (2021) - [c10]Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux:
POSEIDON: Privacy-Preserving Federated Neural Network Learning. NDSS 2021 - [c9]Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux:
Privacy and Integrity Preserving Computations with CRISP. USENIX Security Symposium 2021: 2111-2128 - [i16]Anisa Halimi, Leonard Dervishi, Erman Ayday, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-Preserving and Efficient Verification of the Outcome in Genome-Wide Association Studies. CoRR abs/2101.08879 (2021) - [i15]Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux:
SoK: Privacy-Preserving Collaborative Tree-based Model Learning. CoRR abs/2103.08987 (2021) - [i14]Ludovic Barman, Alexandre Dumur, Apostolos Pyrgelis, Jean-Pierre Hubaux:
Every Byte Matters: Traffic Analysis of Bluetooth Wearable Devices. CoRR abs/2105.11172 (2021) - 2020
- [j6]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, Srdjan Capkun, David A. Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel P. 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, José Pereira:
Decentralized Privacy-Preserving Proximity Tracing. IEEE Data Eng. Bull. 43(2): 36-66 (2020) - [j5]Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro:
Measuring Membership Privacy on Aggregate Location Time-Series. Proc. ACM Meas. Anal. Comput. Syst. 4(2): 36:1-36:28 (2020) - [j4]Ludovic Barman, Italo Dacosta, Mahdi Zamani, Ennan Zhai, Apostolos Pyrgelis, Bryan Ford, Joan Feigenbaum, Jean-Pierre Hubaux:
PriFi: Low-Latency Anonymity for Organizational Networks. Proc. Priv. Enhancing Technol. 2020(4): 24-47 (2020) - [c8]Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro:
Measuring Membership Privacy on Aggregate Location Time-Series. SIGMETRICS (Abstracts) 2020: 73-74 - [i13]David Froelicher, Juan Ramón Troncoso-Pastoriza, Apostolos Pyrgelis, Sinem Sav, Joao Sa Sousa, Jean-Philippe Bossuat, Jean-Pierre Hubaux:
Scalable Privacy-Preserving Distributed Learning. CoRR abs/2005.09532 (2020) - [i12]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, Kenneth G. Paterson, Srdjan Capkun, David A. Basin, Jan Beutel, Dennis Jackson, Marc Roeschlin, Patrick Leu, Bart Preneel, Nigel P. Smart, Aysajan Abidin, Seda F. Gürses, Michael Veale, Cas Cremers, Michael Backes, Nils Ole Tippenhauer, Reuben Binns, Ciro Cattuto, Alain Barrat, Dario Fiore, Manuel Barbosa, Rui Oliveira, José Pereira:
Decentralized Privacy-Preserving Proximity Tracing. CoRR abs/2005.12273 (2020) - [i11]Sylvain Chatel, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, Jean-Pierre Hubaux:
Privacy and Integrity Preserving Computations with CRISP. CoRR abs/2007.04025 (2020) - [i10]Sinem Sav, Apostolos Pyrgelis, Juan Ramón Troncoso-Pastoriza, David Froelicher, Jean-Philippe Bossuat, Joao Sa Sousa, Jean-Pierre Hubaux:
POSEIDON: Privacy-Preserving Federated Neural Network Learning. CoRR abs/2009.00349 (2020)
2010 – 2019
- 2019
- [b1]Apostolos Pyrgelis:
Evaluating privacy-friendly mobility analytics on aggregate location data. University of London, UK, 2019 - [i9]Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro:
Under the Hood of Membership Inference Attacks on Aggregate Location Time-Series. CoRR abs/1902.07456 (2019) - 2018
- [j3]Luca Melis, Apostolos Pyrgelis, Emiliano De Cristofaro:
On collaborative predictive blacklisting. Comput. Commun. Rev. 48(5): 9-20 (2018) - [c7]Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serrà, Claudio Soriente:
There goes Wally: Anonymously sharing your location gives you away. IEEE BigData 2018: 1218-1227 - [c6]Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro:
Knock Knock, Who's There? Membership Inference on Aggregate Location Data. NDSS 2018 - [i8]Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis, Joan Serrà, Claudio Soriente:
There goes Wally: Anonymously sharing your location gives you away. CoRR abs/1806.02701 (2018) - [i7]Luca Melis, Apostolos Pyrgelis, Emiliano De Cristofaro:
On Collaborative Predictive Blacklisting. CoRR abs/1810.02649 (2018) - 2017
- [j2]Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro:
What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy. Proc. Priv. Enhancing Technol. 2017(4): 156-176 (2017) - [i6]Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro:
What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy. CoRR abs/1703.00366 (2017) - [i5]Apostolos Pyrgelis, Carmela Troncoso, Emiliano De Cristofaro:
Knock Knock, Who's There? Membership Inference on Aggregate Location Data. CoRR abs/1708.06145 (2017) - 2016
- [j1]Ioannis Chatzigiannakis, Andrea Vitaletti, Apostolos Pyrgelis:
A privacy-preserving smart parking system using an IoT elliptic curve based security platform. Comput. Commun. 89-90: 165-177 (2016) - [c5]Apostolos Pyrgelis, Emiliano De Cristofaro, Gordon J. Ross:
Privacy-friendly mobility analytics using aggregate location data. SIGSPATIAL/GIS 2016: 34:1-34:10 - [i4]Apostolos Pyrgelis, Emiliano De Cristofaro, Gordon J. Ross:
Privacy-Friendly Mobility Analytics using Aggregate Location Data. CoRR abs/1609.06582 (2016) - 2015
- [p1]Yannis C. Stamatiou, Zinaida Benenson, Anna Girard, Ioannis Krontiris, Vasiliki Liagkou, Apostolos Pyrgelis, Welderufael Tesfay:
Course Evaluation in Higher Education: the Patras Pilot of ABC4Trust. Attribute-based Credentials for Trust 2015: 197-239 - 2012
- [c4]Vasiliki Liagkou, George Metakides, Apostolos Pyrgelis, Christoforos L. Raptopoulos, Paul G. Spirakis, Yannis C. Stamatiou:
Privacy Preserving Course Evaluations in Greek Higher Education Institutes: An e-Participation Case Study with the Empowerment of Attribute Based Credentials. APF 2012: 140-156 - 2011
- [c3]Dimitrios Amaxilatis, Ioannis Chatzigiannakis, Shlomi Dolev, Christos Koninis, Apostolos Pyrgelis, Paul G. Spirakis:
Adaptive Hierarchical Network Structures for Wireless Sensor Networks. ADHOCNETS 2011: 65-80 - [c2]Ioannis Chatzigiannakis, Apostolos Pyrgelis, Paul G. Spirakis, Yannis C. Stamatiou:
Elliptic Curve Based Zero Knowledge Proofs and their Applicability on Resource Constrained Devices. MASS 2011: 715-720 - [i3]Tobias Baumgartner, Ioannis Chatzigiannakis, Sándor P. Fekete, Christos Koninis, Alexander Kröller, Apostolos Pyrgelis:
Wiselib: A Generic Algorithm Library for Heterogeneous Sensor Networks. CoRR abs/1101.3067 (2011) - [i2]Dimitrios Amaxilatis, Ioannis Chatzigiannakis, Christos Koninis, Apostolos Pyrgelis:
Component Based Clustering in Wireless Sensor Networks. CoRR abs/1105.3864 (2011) - [i1]Ioannis Chatzigiannakis, Apostolos Pyrgelis, Paul G. Spirakis, Yannis C. Stamatiou:
Elliptic Curve Based Zero Knowledge Proofs and Their Applicability on Resource Constrained Devices. CoRR abs/1107.1626 (2011) - 2010
- [c1]Tobias Baumgartner, Ioannis Chatzigiannakis, Sándor P. Fekete, Christos Koninis, Alexander Kröller, Apostolos Pyrgelis:
Wiselib: A Generic Algorithm Library for Heterogeneous Sensor Networks. EWSN 2010: 162-177
Coauthor Index
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last updated on 2024-09-15 00:42 CEST by the dblp team
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