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Scientific and Technical papers relative to our Project

Published PapersLinkRepository Link
Bin Liu, Antonis Michalas and Bogdan Warinschi. “Cryptographic Role-Based Access Control, Reconsidered”. Proceedings of the 16th International Conference on Provable and Practical Security (ProvSec’22), Nanjing, China, 11–12 November 2022.https://eprint.iacr.org/2022/1268.pdf
R. Guanciale, N. Paladi and A. Vahidi, "SoK: Confidential Quartet - Comparison of Platforms for Virtualization-Based Confidential Computing," 2022 IEEE International Symposium on Secure and Private Execution Environment Design (SEED), Storrs, CT, USA, 2022, pp. 109-120, doi: 10.1109/SEED55351.2022.00017.https://ieeexplore.ieee.org/abstract/document/9935023
Alexandros Bakas, Eugene Frimpong and Antonis Michalas. “Symmetrical Disguise: Realizing Homomorphic Encryption Services from Symmetric Primitives”. Proceedings of the 18th EAI International Conference on Security and Privacy in Communication Networks (SecureComm’22), Kansas City, United States, October 17–19, 2022.https://eprint.iacr.org/2022/848.pdfhttps://github.com/iammrgenie/hhe_ppml
Alexandros Bakas, Antonis Michalas, Eugene Frimpong and Reyhaneh Rabbaninejad. “Feel the Quantum Functioning: Instantiating Generic Multi-Input Functional Encryption from Learning with Errors”. Proceedings of the 36th Annual WG 11.3 Conference on Data and Applications Security and Privacy (DBSec’22), Newark, NJ, USA, July 18–20, 2022.https://eprint.iacr.org/2022/629
Title: stoRNA: Stateless Transparent Proofs of Storage-time

Authors: Reyhaneh Rabaninejad, Behzad Abdolmaleki, Giulio Malavolta, Antonis Michalas and Amir Nabizadeh

Venue: Proceedings of the 28th European Symposium on Research in Computer Security (ESORICS 2023), Hague, the Netherlands, September 25–29, 2023.
https://eprint.iacr.org/2023/515.pdf
Title: Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning

Authors: Tanveer Khan, Khoa Nguyen and Antonis Michalas

Venue: Proceedings of the 5th International Workshop on Health Data Management in the Era of AI (HeDAI'23), co-located with the 26th International Conference on Extending Database Technology, 28-31 March, 2023, Ioannina, Greece.
https://arxiv.org/pdf/2301.08778.pdfhttps://github.com/khoaguin/HESplitNet

Han Wang, David Eklund, Alina Oprea, Shahid Raza - "FL4IoT: IoT Device Fingerprinting and Identification using Federated Learning", Published: 09 June 2023

https://dl.acm.org/doi/10.1145/3603257
Tanveer Khan, Antonis Michalas: Learning in the Dark: Privacy-Preserving Machine
Learning using Function Approximation
https://arxiv.org/abs/2309.08190https://gitlab.com/nisec/blind_faith
Tanveer Khan, Khoa Nguyen, Antonis Michalas: A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learninghttp://arxiv.org/abs/2309.08697https://github.com/khoaguin/HESplitNet
Tanveer Khan, Khoa Nguyen, Antonis Michalas and Alexandros Bakas: Love or Hate? Share or Split? Privacy-Preserving Training
Using Split Learning and Homomorphic Encryption
https://arxiv.org/abs/2309.10517https://github.com/khoaguin/HESplitNet
Khoa Nguyen, Tanveer Khan, Antonis Michalas: Split Without a Leak: Reducing Privacy Leakage
in Split Learning
https://arxiv.org/abs/2308.15783https://github.com/khoaguin/HESplitNet