| 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 | 27 | 2021 |
| Pointwise maximal leakage S Saeidian, G Cervia, TJ Oechtering, M Skoglund IEEE Transactions on Information Theory, 2023 | 26 | 2023 |
| 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 | 17 | 2020 |
| 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 | 9 | 2023 |
| Optimal maximal leakage-distortion tradeoff S Saeidian, G Cervia, TJ Oechtering, M Skoglund 2021 IEEE Information Theory Workshop (ITW), 1-6, 2021 | 9 | 2021 |
| Extremal mechanisms for pointwise maximal leakage L Grosse, S Saeidian, TJ Oechtering IEEE Transactions on Information Forensics and Security, 2024 | 5 | 2024 |
| Quantifying Privacy via Information Density L Grosse, S Saeidian, P Sadeghi, TJ Oechtering, M Skoglund arXiv preprint arXiv:2402.12967, 2024 | 4 | 2024 |
| Rethinking disclosure prevention with pointwise maximal leakage S Saeidian, G Cervia, TJ Oechtering, M Skoglund Submitted to: Journal of Privacy and Confidentiality, 2023 | 4 | 2023 |
| Calculated Privacy: Tech Meets Law & Law Meets Tech TJ Oechtering, S Saeidian, CM Sjoberg FIU L. Rev. 17, 383, 2023 | 3 | 2023 |
| Inferential Privacy: From Impossibility to Database Privacy S Saeidian, G Cervia, TJ Oechtering, M Skoglund arXiv preprint arXiv:2303.07782, 2023 | 2 | 2023 |
| Deep Reinforcement Learning for Downlink Power Control in Dense 5G Networks S Saeidian | 2 | 2019 |
| Information Density Bounds for Privacy S Saeidian, L Grosse, P Sadeghi, M Skoglund, TJ Oechtering arXiv preprint arXiv:2407.01167, 2024 | 1 | 2024 |
| Evaluating Differential Privacy on Correlated Datasets Using Pointwise Maximal Leakage S Saeidian, TJ Oechtering, M Skoglund Annual Privacy Forum, 73-86, 2024 | | 2024 |
| Pointwise Maximal Leakage: Robust, Flexible and Explainable Privacy S Saeidian KTH Royal Institute of Technology, 2024 | | 2024 |
Tobias J. OechteringKTH Royal Institute of Technology, Division Information Science and EngineeringVerifierad e-postadress på kth.se
