Secure and Networked Systems
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- 2026
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Mark
Attacking Single-Cycle Ciphers on Modern FPGAs : Featuring Explainable Deep Learning
(2026) Satellite Workshops held in parallel with the 23rd International Conference on Applied Cryptography and Network Security, ACNS 2025 In Lecture Notes in Computer Science 15653 LNCS. p.22-39
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
- 2025
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Mark
Efficient Authentication Protocols from the Restricted Syndrome Decoding Problem
(2025) 10th IEEE European Symposium on Security and Privacy, Euro S and P
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Formal Analysis of Julia Key Agreement Protocol
(2025) 26th International Conference on Information and Communications Security, ICICS 2024 In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 15057 LNCS. p.171-190
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Membership Inference Attack in Random Forests
(2025) ESANN 2025
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Integrating and Benchmarking KpqC in TLS/X.509
- Contribution to journal › Article
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Mark
Learning at the edge : simulated DDoS detection in 5G networks
(2025) In Proceedings of the XXth Conference of Open Innovations Association FRUCT
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
TAPShield : Securing Trigger-Action Platforms against Strong Attackers
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Resilient automatic model selection for mobility prediction
- Contribution to journal › Article
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Mark
Analyzing Coverage Probability in Full-Duplex Two-Tier Networks with Offloading and Resource Partitioning
(2025) 23rd International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2025 p.30-36
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
IPFL : Interpretable Federated Learning for Personalized Healthcare
- Contribution to journal › Article
