Meisam Mohammady

According to our database, Meisam Mohammady authored at least 24 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Optimally Mitigating Backdoor Attacks in Federated Learning.

Kane Walter, Meisam Mohammady, Surya Nepal, Salil S. Kanhere

IEEE Trans. Dependable Secur. Comput., 2024

Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence.

Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong

CoRR, 2024

LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models.

Qin Yang, Meisam Mohammady, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong

CoRR, 2024

FUD-LDP: Fully User Driven Local Differential Privacy.

Gnanakumar Thedchanamoorthy, Michael Bewong, Meisam Mohammady, Tanveer A. Zia, Md Zahidul Islam

Proceedings of the Web Information Systems Engineering - WISE 2024, 2024

DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming.

Shuya Feng, Meisam Mohammady, Han Wang, Xiaochen Li, Zhan Qin, Yuan Hong

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Optimization of UD-LDP with statistical prior knowledge.

Gnanakumar Thedchanamoorthy, Michael Bewong, Meisam Mohammady, Tanveer A. Zia, Md Zahidul Islam

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.

Kane Walter, Meisam Mohammady, Surya Nepal, Salil S. Kanhere

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.

Thirasara Ariyarathna, Meisam Mohammady, Hye-Young Paik, Salil S. Kanhere

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023

A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing.

Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong

IEEE Trans. Knowl. Data Eng., 2023

OptimShare: A Unified Framework for Privacy Preserving Data Sharing - Towards the Practical Utility of Data with Privacy.

M. A. P. Chamikara, Seung Ick Jang, Ian J. Oppermann, Dongxi Liu, Musotto Roberto, Sushmita Ruj, Arindam Pal, Meisam Mohammady, Seyit Camtepe, Sylvia Young, Chris Dorrian, Nasir David

CoRR, 2023

Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic Analysis.

Meisam Mohammady, Reza Arablouei

CoRR, 2023

2022

Randomized Privacy Budget Differential Privacy.

Meisam Mohammady

CoRR, 2022

DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning.

Meisam Mohammady, Han Wang, Lingyu Wang, Mengyuan Zhang, Yosr Jarraya, Suryadipta Majumdar, Makan Pourzandi, Mourad Debbabi, Yuan Hong

CoRR, 2022

A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (Extended Abstract).

Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong

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.

Meisam Mohammady, Momen Oqaily, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi

ACM Trans. Priv. Secur., 2021

SegGuard: Segmentation-Based Anonymization of Network Data in Clouds for Privacy-Preserving Security Auditing.

Momen Oqaily, Yosr Jarraya, Meisam Mohammady, Suryadipta Majumdar, Makan Pourzandi, Lingyu Wang, Mourad Debbabi

IEEE Trans. Dependable Secur. Comput., 2021

VTDP: Privately Sanitizing Fine-Grained Vehicle Trajectory Data With Boosted Utility.

Bingyu Liu, Shangyu Xie, Han Wang, Yuan Hong, Xuegang Ban, Meisam Mohammady

IEEE Trans. Dependable Secur. Comput., 2021

2020

R²DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions.

Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi, Mourad Debbabi

CoRR, 2020

R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions.

Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi, Mourad Debbabi

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.

Suryadipta Majumdar, Azadeh Tabiban, Meisam Mohammady, Alaa Oqaily, Yosr Jarraya, Makan Pourzandi, Lingyu Wang, Mourad Debbabi

Proceedings of the Computer Security - ESORICS 2019, 2019

Multi-Level Proactive Security Auditing for Clouds.

Suryadipta Majumdar, Azadeh Tabiban, Meisam Mohammady, Alaa Oqaily, Yosr Jarraya, Makan Pourzandi, Lingyu Wang, Mourad Debbabi

Proceedings of the 2019 IEEE Conference on Dependable and Secure Computing, 2019

2018

Differentially Private MIMO Filtering for Event Streams.

Jerome Le Ny, Meisam Mohammady

IEEE Trans. Autom. Control., 2018

Preserving Both Privacy and Utility in Network Trace Anonymization.

Meisam Mohammady, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi

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.

Jerome Le Ny, Meisam Mohammady

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014