Meisam Mohammady

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Lingyu WangProfessor, NSERC/Ericsson Industrial Research Chair (IRC) in SDN/NFV Security, Concordia UniversityVerified email at ciise.concordia.ca
Mourad DebbabiDean, and Concordia Hydro-Québec Hitachi Partnership Research Chair, Professor, Concordia Univ.Verified email at ciise.concordia.ca
Yuan HongUniversity of ConnecticutVerified email at uconn.edu
Makan PourzandiAffiliate Professor, Concordia University - Ericsson ResearchVerified email at concordia.ca
Yosr JarrayaMaster Researcher, Ericsson Canada, Research SecurityVerified email at ericsson.com
Suryadipta MajumdarAssociate Professor of Concordia Institute for Information Systems Engineering, Concordia UniversityVerified email at concordia.ca
Shangyu XieIllinois Institute of TechnologyVerified email at hawk.iit.edu
Louafi, HabibTELUQ UniversityVerified email at teluq.ca
Han WangUniversity of KansasVerified email at ku.edu
Mengyuan ZhangThe Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Jerome Le NyProfessor of Electrical Engineering, Polytechnique Montreal, and GERADVerified email at polymtl.ca
momen oqailyCIISE, Concordia universityVerified email at live.concordia.ca
Azadeh TabibanAssistant Professor in Computer Science Department, University of ManitobaVerified email at umanitoba.ca
Xuegang BanUniversity of Washington, SeattleVerified email at uw.edu
Jaideep VaidyaDistinguished Professor, Rutgers UniversityVerified email at business.rutgers.edu
Tanveer ZiaProfessor of Computer Science, University of Notre Dame AustraliaVerified email at nd.edu.au
Professor Zahid IslamAssociate Dean (Research), Charles Sturt UniversityVerified email at csu.edu.au
Michael BewongSenior Lecturer, Charles Sturt UniversityVerified email at mymail.unisa.edu.au
Gnanakumar ThedchanamoorthyResearch Student, University of SydneyVerified email at uni.sydney.edu.au
Xiaochen LiZhejiang UniversityVerified email at zju.edu.cn

Meisam Mohammady

Assistant Professor at Iowa State University

Verified email at iastate.edu - Homepage

Differential Privacy Federated Machine Learning Secure Multiparty Computation


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Differentially private MIMO filtering for event streams J Le Ny, M Mohammady IEEE Transactions on Automatic Control 63 (1), 145-157, 2017	42	2017
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	41	2018
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	17	2020
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	16	2019
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	13	2014
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	12	2019
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	11	2019
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	9	2021
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	4	2021
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	4	2019
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	2	2022
Differentially private event stream filtering with an application to traffic estimation M Mohammady École Polytechnique de Montréal, 2015	2	2015
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	1	2024
Utility optimized differential privacy system M Zhang, Y Jarraya, M Pourzandi, M Mohammady, XIE Shangyu, Y Hong, ... US Patent App. 17/610,795, 2022	1	2022
Novel approaches to preserving utility in privacy enhancing technologies M Mohammady Concordia University, 2020	1	2020
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, TA 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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