Differentially private MIMO filtering for event streams and spatio-temporal monitoring. - Jerome Le Ny; Meisam Mohammady (CDC, 2014)

Preserving Both Privacy and Utility in Network Trace Anonymization. - Meisam Mohammady; Lingyu Wang 001; Yuan Hong 001; Habib Louafi; Makan Pourzandi; Mourad Debbabi (CCS, 2018)

Differentially Private MIMO Filtering for Event Streams. - Jerome Le Ny; Meisam Mohammady (IEEE Trans. Autom. Control., 2018)

Multi-Level Proactive Security Auditing for Clouds. - Suryadipta Majumdar; Azadeh Tabiban; Meisam Mohammady; Alaa Oqaily; Yosr Jarraya; Makan Pourzandi; Lingyu Wang 001; Mourad Debbabi (DSC, 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 001; Mourad Debbabi (ESORICS (2), 2019)

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 001; Mengyuan Zhang 001; Lingyu Wang 001; Makan Pourzandi; Mourad Debbabi (CCS, 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 001; Mengyuan Zhang 001; Lingyu Wang 001; Makan Pourzandi; Mourad Debbabi (CoRR, 2020)

VTDP: Privately Sanitizing Fine-Grained Vehicle Trajectory Data With Boosted Utility. - Bingyu Liu; Shangyu Xie; Han Wang 021; Yuan Hong 001; Xuegang Ban; Meisam Mohammady (IEEE Trans. Dependable Secur. Comput., 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 001; Mourad Debbabi (IEEE Trans. Dependable Secur. Comput., 2021)

A Multi-view Approach to Preserve Privacy and Utility in Network Trace Anonymization. - Meisam Mohammady; Momen Oqaily; Lingyu Wang 001; Yuan Hong 001; Habib Louafi; Makan Pourzandi; Mourad Debbabi (ACM Trans. Priv. Secur., 2021)

A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (Extended Abstract). - Shangyu Xie; Meisam Mohammady; Han Wang 021; Lingyu Wang 001; Jaideep Vaidya; Yuan Hong 001 (ICDE, 2022)

DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning. - Meisam Mohammady; Han Wang 021; Lingyu Wang 001; Mengyuan Zhang 001; Yosr Jarraya; Suryadipta Majumdar; Makan Pourzandi; Mourad Debbabi; Yuan Hong 001 (CoRR, 2022)

Randomized Privacy Budget Differential Privacy. - Meisam Mohammady (CoRR, 2022)

Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic Analysis. - Meisam Mohammady; Reza Arablouei (VehicleSec, 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 001; Meisam Mohammady; Seyit Camtepe; Sylvia Young; Chris Dorrian; Nasir David (CoRR, 2023)

A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing. - Shangyu Xie; Meisam Mohammady; Han Wang 021; Lingyu Wang 001; Jaideep Vaidya; Yuan Hong 001 (IEEE Trans. Knowl. Data Eng., 2023)

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 (AsiaCCS, 2024)

Mitigating Distributed Backdoor Attack in Federated Learning Through Mode Connectivity. - Kane Walter; Meisam Mohammady; Surya Nepal; Salil S. Kanhere (AsiaCCS, 2024)

Optimization of UD-LDP with statistical prior knowledge. - Gnanakumar Thedchanamoorthy; Michael Bewong; Meisam Mohammady; Tanveer A. Zia; Md Zahidul Islam 001 (PerCom Workshops, 2024)

DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. - Shuya Feng; Meisam Mohammady; Han Wang 021; Xiaochen Li; Zhan Qin; Yuan Hong 001 (SP, 2024)

FUD-LDP: Fully User Driven Local Differential Privacy. - Gnanakumar Thedchanamoorthy; Michael Bewong; Meisam Mohammady; Tanveer A. Zia; Md Zahidul Islam 001 (WISE (5), 2024)

LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models. - Qin Yang; Meisam Mohammady; Han Wang 021; Ali Payani; Ashish Kundu; Kai Shu; Yan Yan 002; Yuan Hong 001 (CoRR, 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 001 (CoRR, 2024)

Optimally Mitigating Backdoor Attacks in Federated Learning. - Kane Walter; Meisam Mohammady; Surya Nepal; Salil S. Kanhere (IEEE Trans. Dependable Secur. Comput., 2024)

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 001 (CODASPY, 2025)

UD-LDP: A Technique for optimally catalyzing user driven Local Differential Privacy. - Gnanakumar Thedchanamoorthy; Michael Bewong; Meisam Mohammady; Tanveer A. Zia; Md Zahidul Islam 001 (Future Gener. Comput. Syst., 2025)