Meisam Mohammady
Orcid: 0000-0002-0619-6361
According to our database1,
Meisam Mohammady
authored at least 28 papers
between 2014 and 2025.
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Bibliography
2025
PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization.
CoRR, September, 2025
Future Gener. Comput. Syst., 2025
Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence.
Proceedings of the Fifteenth ACM Conference on Data and Application Security and Privacy, 2025
Towards Usability of Data with Privacy: A Unified Framework for Privacy-Preserving Data Sharing with High Utility.
Proceedings of the 20th ACM Asia Conference on Computer and Communications Security, 2025
2024
IEEE Trans. Dependable Secur. Comput., 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence.
CoRR, 2024
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models.
CoRR, 2024
Proceedings of the Web Information Systems Engineering - WISE 2024, 2024
Proceedings of the IEEE Symposium on Security and Privacy, 2024
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
Mitigating Distributed Backdoor Attack in Federated Learning Through Mode Connectivity.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
VLIA: Navigating Shadows with Proximity for Highly Accurate Visited Location Inference Attack against Federated Recommendation Models.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
2023
IEEE Trans. Knowl. Data Eng., 2023
OptimShare: A Unified Framework for Privacy Preserving Data Sharing - Towards the Practical Utility of Data with Privacy.
CoRR, 2023
Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic Analysis.
Proceedings of the Inaugural International Symposium on Vehicle Security and Privacy, 2023
2022
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning.
CoRR, 2022
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (Extended Abstract).
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
2021
A Multi-view Approach to Preserve Privacy and Utility in Network Trace Anonymization.
ACM Trans. Priv. Secur., 2021
SegGuard: Segmentation-Based Anonymization of Network Data in Clouds for Privacy-Preserving Security Auditing.
IEEE Trans. Dependable Secur. Comput., 2021
VTDP: Privately Sanitizing Fine-Grained Vehicle Trajectory Data With Boosted Utility.
IEEE Trans. Dependable Secur. Comput., 2021
2020
R<sup>2</sup>DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions.
CoRR, 2020
R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020
2019
Proactivizer: Transforming Existing Verification Tools into Efficient Solutions for Runtime Security Enforcement.
Proceedings of the Computer Security - ESORICS 2019, 2019
Proceedings of the 2019 IEEE Conference on Dependable and Secure Computing, 2019
2018
IEEE Trans. Autom. Control., 2018
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018
2014
Differentially private MIMO filtering for event streams and spatio-temporal monitoring.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014