Antonios Michalas
About me
I received my PhD in Provable Security and Privacy from Aalborg University, Denmark and I currently work as an Associate Professor at the Department of Computing Sciences where I also lead the Network and Information Security group (NISEC). The group comprises PhD students, professors a nd researchers. Group members conduct research in areas spanning from the theoretical foundations of cryptography to the design and implementation of leading-edge efficient and secure communication protocols. Apart from my research work at NISEC, as an associate professor, I am actively involved in the teaching activities of the University. Finally, my role expands to student supervision and research project coordination.
You can find more information on my profile and my latest activities at www.amichalas.com
Fields of expertise
- Applied Cryptography;
- Operations on Encrypted Data;
- Privacy Enhancing Technologies;
- Privacy-Preserving Machine Learning;
- and...anything that looks interesting!
Latest publications
A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning
Khan, T., Nguyen, K. & Michalas, A., 2024, Secure IT Systems: 28th Nordic Conference, NordSec 2023, Oslo, Norway, November 16–17, 2023, Proceedings. Fritsch, L., Hassan, I. & Paintsil, E. (eds.). Cham: Springer, p. 307-329 23 p. (Lecture Notes in Computer Science; vol. 14324).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
FE[r]Chain: Enforcing Fairness in Blockchain Data Exchanges Through Verifiable Functional Encryption
Nuoskala, C., Rabbaninejad, R., Dimitriou, T. & Michalas, A., Jun 2024, Proceedings of the 29th ACM Symposium on Access Control Models and Technologies (SACMAT 2024). ACM, p. 183-191 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
GuardML: Efficient Privacy-Preserving Machine Learning Services Through Hybrid Homomorphic Encryption
Frimpong, E., Nguyen, K., Budzys, M., Khan, T. & Michalas, A., 2024, Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing (SAC '24). ACM, p. 953-962 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation
Khan, T. & Michalas, A., 2024, Proceedings - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom/BigDataSE/CSE/EUC/iSCI 2023. Hu, J., Min, G. & Wang, G. (eds.). IEEE, p. 62-71 10 p. (IEEE International Conference on Trust, Security and Privacy in Computing and Communications).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Make Split, not Hijack: Preventing Feature-Space Hijacking Attacks in Split Learning
Khan, T., Budzys, M. & Michalas, A., 24 Jun 2024, Proceedings of the 29th ACM Symposium on Access Control Models and Technologies (SACMAT 2024). ACM, p. 19-30 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Need for Speed: Leveraging the Power of Functional Encryption for Resource-Constrained Devices
Frimpong, E., Bakas, A., Foucault, C. & Michalas, A., 2024, Proceedings of the 9th International Conference on Internet of Things, Big Data and Security, IoTBDS 2024. Kobusinska, A., Jacobsson, A. & Chang, V. (eds.). Science and Technology Publications (SciTePress), p. 62-74 13 p. (International Conference on Internet of Things, Big Data and Security, IoTBDS - Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
SoK: Wildest Dreams: Reproducible Research in Privacy-preserving Neural Network Training
Khan, T., Budzys, M., Nguyen, K. & Michalas, A., Jul 2024, Proceedings on Privacy Enhancing Technologies. 3 ed. Vol. 2024. p. 144-164 21 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Split Without a Leak: Reducing Privacy Leakage in Split Learning
Nguyen, K., Khan, T. & Michalas, A., 2024, Security and Privacy in Communication Networks - 19th EAI International Conference, SecureComm 2023, Proceedings. Duan, H., Debbabi, M., de Carné de Carnavalet, X., Luo, X., Au, M. H. A. & Du, X. (eds.). Springer, p. 321-344 24 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; vol. 568 LNICST).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
stoRNA: Stateless Transparent Proofs of Storage-time
Rabaninejad, R., Abdolmaleki, B., Malavolta, G., Michalas, A. & Nabizadeh, A., 2024, Computer Security – ESORICS 2023 - 28th European Symposium on Research in Computer Security, 2023, Proceedings. Tsudik, G., Conti, M., Liang, K. & Smaragdakis, G. (eds.). Springer, p. 389-410 22 p. (Lecture Notes in Computer Science; vol. 14346 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum
Kiss, T., Ullah, A., Terstyanszky, G., Kao, O., Becker, S., Verginadis, Y., Michalas, A., Stankovski, V., Kertesz, A., Ricci, E., Altmann, J., Egger, B., Tusa, F., Kovacs, J. & Lovas, R., 2024, Advanced Information Networking and Applications: Proceedings of the 38th International Conference on Advanced Information Networking and Applications (AINA-2024), Volume 5. Springer, Vol. 5. p. 89-100 12 p. (Lecture Notes on Data Engineering and Communications Technologies; vol. 203).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review