Научно-технички радови у вези са нашим Пројектом
| Published Papers | Link | Repository 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.pdf | https://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.pdf | https://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/2309.08190 | https://gitlab.com/nisec/blind_faith |
| Tanveer Khan, Khoa Nguyen, Antonis Michalas: A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning | http://arxiv.org/abs/2309.08697 | https://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/2309.10517 | https://github.com/khoaguin/HESplitNet |
| Khoa Nguyen, Tanveer Khan, Antonis Michalas: Split Without a Leak: Reducing Privacy Leakage in Split Learning | https://arxiv.org/abs/2308.15783 | https://github.com/khoaguin/HESplitNet |
| Eugene Frimpong, Khoa Nguyen, Mindaugas Budzys, Tanveer Khan, Antonis Michalas: GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption | https://arxiv.org/abs/2401.14840 | https://github.com/iammrgenie/hhe_ppml |
| Eugene Frimpong, Alexandros Bakas, Camille Foucault and Antonis Michalas. “Need for Speed: Leveraging the Power of Functional Encryption for Resource-Constrained Devices”. In Proceedings of the 9th International Conference on IoT, BigData and Security (IoTBDS’24), Angers, France, 28–30 April 2024. | https://arxiv.org/pdf/2401.14840.pdf | https://github.com/iammrgenie/sumFE_v2 |
| Tanveer Khan, Mindaugas Budzys, Khoa Nguyen and Antonis Michalas. “Wildest Dreams: Reproducible Research in Privacy-Preserving Neural Network Training ”. In Proceedings of the 24th Privacy Enhancing Technologies Symposium (PETS’24), Bristol, U.K., 15–20 July 2024. | https://arxiv.org/pdf/2403.03592.pdf | |
| Tanveer Khan, Mindaugas Budzys and Antonis Michalas: "Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning". 15—17 May, 2024, San Antonio, Texas, USA | https://arxiv.org/pdf/2404.09265.pdf | https://github.com/UnoriginalOrigi/SplitFSS |
| Camille Foucault, Reyhaneh Rabbaninejad, Tassos Dimitriou and Antonis Michalas: "FE[r]Chain: Enforcing Fairness in Blockchain Data Exchanges Through Verifiable Functional Encryption". 15—17 May, 2024, San Antonio, Texas, USA. | https://eprint.iacr.org/2024/660.pdf |