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Meisam Mohammady
Meisam Mohammady
Assistant Professor at Iowa State University
Verified email at iastate.edu - Homepage
Title
Cited by
Cited by
Year
Differentially private MIMO filtering for event streams
J Le Ny, M Mohammady
IEEE Transactions on Automatic Control 63 (1), 145-157, 2017
442017
Preserving both privacy and utility in network trace anonymization
M Mohammady, L Wang, Y Hong, H Louafi, M Pourzandi, M Debbabi
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
412018
R2dp: A universal and automated approach to optimizing the randomization mechanisms of differential privacy for utility metrics with no known optimal distributions
M Mohammady, S Xie, Y Hong, M Zhang, L Wang, M Pourzandi, ...
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020
192020
VTDP: Privately sanitizing fine-grained vehicle trajectory data with boosted utility
B Liu, S Xie, H Wang, Y Hong, X Ban, M Mohammady
IEEE Transactions on Dependable and Secure Computing 18 (6), 2643-2657, 2019
172019
SegGuard: segmentation-based anonymization of network data in clouds for privacy-preserving security auditing
M Oqaily, Y Jarraya, M Mohammady, S Majumdar, M Pourzandi, L Wang, ...
IEEE Transactions on Dependable and Secure Computing 18 (5), 2486-2505, 2019
142019
Differentially private MIMO filtering for event streams and spatio-temporal monitoring
J Le Ny, M Mohammady
53rd IEEE Conference on Decision and Control, 2148-2153, 2014
132014
Proactivizer: Transforming existing verification tools into efficient solutions for runtime security enforcement
S Majumdar, A Tabiban, M Mohammady, A Oqaily, Y Jarraya, ...
Computer Security–ESORICS 2019: 24th European Symposium on Research in …, 2019
112019
A generalized framework for preserving both privacy and utility in data outsourcing
S Xie, M Mohammady, H Wang, L Wang, J Vaidya, Y Hong
IEEE transactions on knowledge and data engineering 35 (1), 1-15, 2021
102021
A multi-view approach to preserve privacy and utility in network trace anonymization
M Mohammady, M Oqaily, L Wang, Y Hong, H Louafi, M Pourzandi, ...
ACM Transactions on Privacy and Security (TOPS) 24 (3), 1-36, 2021
42021
Multi-level proactive security auditing for clouds
S Majumdar, A Tabiban, M Mohammady, A Oqaily, Y Jarraya, ...
2019 IEEE Conference on Dependable and Secure Computing (DSC), 1-8, 2019
42019
DPOAD: differentially private outsourcing of anomaly detection through iterative sensitivity learning
M Mohammady, H Wang, L Wang, M Zhang, Y Jarraya, S Majumdar, ...
arXiv preprint arXiv:2206.13046, 2022
22022
Differentially private event stream filtering with an application to traffic estimation
M Mohammady
École Polytechnique de Montréal, 2015
22015
DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming
S Feng, M Mohammady, H Wang, X Li, Z Qin, Y Hong
IEEE Symposium on Security and Privacy (SP), San Francisco, CA, USA, 2024 pp …, 2024
12024
Utility optimized differential privacy system
M Zhang, Y Jarraya, M Pourzandi, M Mohammady, XIE Shangyu, Y Hong, ...
US Patent App. 17/610,795, 2022
12022
Novel approaches to preserving utility in privacy enhancing technologies
M Mohammady
Concordia University, 2020
12020
Ud-Ldp: A Technique for Optimally Catalyzing User Driven Local Differential Privacy
G Thedchanamoorthy, M Bewong, M Mohammady, TA Zia, MZ Islam
Available at SSRN 4629110, 0
1
Optimization of UD-LDP with statistical prior knowledge
G Thedchanamoorthy, M Bewong, M Mohammady, T Zia, MZ Islam
2024 IEEE International Conference on Pervasive Computing and Communications …, 2024
2024
LMO-DP: Accurately Fine-Tuning Language Models with Stronger Differential Privacy
Q Yang, M Mohammady, H Wang, A Payani, A Kundu, K Shu, Y Yan, ...
2023
Optimally Mitigating Backdoor Attacks in Federated Learning
K Walter, M Mohammady, S Nepal, SS Kanhere
IEEE Transactions on Dependable and Secure Computing, 2023
2023
Dpod: differentially private outsourcing of anomaly detection
M Mohammady, M Zhang, Y Jarraya, M Pourzandi, H Wang, Y Hong, ...
US Patent App. 18/005,761, 2023
2023
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