Követés
Sara Saeidian
Sara Saeidian
E-mail megerősítve itt: kth.se
Cím
Hivatkozott rá
Hivatkozott rá
Év
Quantifying membership privacy via information leakage
S Saeidian, G Cervia, TJ Oechtering, M Skoglund
IEEE Transactions on Information Forensics and Security 16, 3096-3108, 2021
232021
Pointwise maximal leakage
S Saeidian, G Cervia, TJ Oechtering, M Skoglund
2022 IEEE International Symposium on Information Theory (ISIT), 626-631, 2022
172022
Downlink power control in dense 5G radio access networks through deep reinforcement learning
S Saeidian, S Tayamon, E Ghadimi
ICC 2020-2020 IEEE International Conference on Communications (ICC), 1-6, 2020
142020
Optimal maximal leakage-distortion tradeoff
S Saeidian, G Cervia, TJ Oechtering, M Skoglund
2021 IEEE Information Theory Workshop (ITW), 1-6, 2021
82021
Pointwise maximal leakage on general alphabets
S Saeidian, G Cervia, TJ Oechtering, M Skoglund
2023 IEEE International Symposium on Information Theory (ISIT), 388-393, 2023
52023
Calculated privacy: Tech meets law & law meets tech
TJ Oechtering, S Saeidian, CM Sjoberg
FIU L. Rev. 17, 383, 2023
32023
Extremal mechanisms for pointwise maximal leakage
L Grosse, S Saeidian, T Oechtering
arXiv preprint arXiv:2310.07381, 2023
22023
Rethinking disclosure prevention with pointwise maximal leakage
S Saeidian, G Cervia, TJ Oechtering, M Skoglund
Submitted to: Journal of Privacy and Confidentiality, 2023
22023
Deep Reinforcement Learning for Downlink Power Control in Dense 5G Networks
S Saeidian
22019
Quantifying Privacy via Information Density
L Grosse, S Saeidian, P Sadeghi, TJ Oechtering, M Skoglund
arXiv preprint arXiv:2402.12967, 2024
12024
Inferential Privacy: From Impossibility to Database Privacy
S Saeidian, G Cervia, TJ Oechtering, M Skoglund
arXiv preprint arXiv:2303.07782, 2023
12023
Pointwise Maximal Leakage: Robust, Flexible and Explainable Privacy
S Saeidian
KTH Royal Institute of Technology, 2024
2024
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Cikkek 1–12