Stebėti
Kiarash Sedghi
Kiarash Sedghi
Kiti vardaiKiarash Sedghighadikolaei
Patvirtintas el. paštas usf.edu - Pagrindinis puslapis
Pavadinimas
Cituota
Cituota
Metai
Privacy-preserving and trustworthy deep learning for medical imaging
K Sedghighadikolaei, AA Yavuz
arXiv preprint arXiv:2407.00538, 2024
92024
A Comprehensive Survey of Threshold Signatures: NIST Standards, Post-Quantum Cryptography, Exotic Techniques, and Real-World Applications
K Sedghighadikolaei, AA Yavuz
arXiv preprint arXiv:2311.05514, 2023
62023
Beyond basic trust: Envisioning the future of nextgen networked systems and digital signatures
AA Yavuz, K Sedghighadikolaei, S Darzi, SE Nouma
2023 5th IEEE International Conference on Trust, Privacy and Security in …, 2023
32023
Signer-Optimal Multiple-Time Post-Quantum Hash-Based Signature for Heterogeneous IoT Systems
K Sedghighadikolaei, AA Yavuz, SE Nouma
arXiv preprint arXiv:2411.01380, 2024
2024
Fast and Post-Quantum Authentication for Real-time Next Generation Networks with Bloom Filter
K Sedghighadikolaei, AA Yavuz
2024 6th IEEE International Conference on Trust, Privacy and Security in …, 2024
2024
A Lightweight Multiple-Time Post-quantum Signature for Heterogeneous Internet of Things
AA Yavuz, K Sedghighadikolaei
US Patent TTO Ref: 25T013PR-C S, 2024
2024
Efficient, Scalable and Post-Quantum Authentication for Real-time Next Generation Networks with Probabilistic Data Structures
AA Yavuz, K Sedghighadikolaei
US Patent TTO Ref. 24T240PR-C S, 2024
2024
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