Meisam Mohammady

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 23

Top Topics

Differentially Private

Multimodal Data

Differential Privacy

Top Venues

IEEE Trans. Dependable Secur. Comput.

Publications

Kane Walter, Meisam Mohammady, Surya Nepal, Salil S. Kanhere
Mitigating Distributed Backdoor Attack in Federated Learning Through Mode Connectivity. AsiaCCS (2024)
Kane Walter, Meisam Mohammady, Surya Nepal, Salil S. Kanhere
Optimally Mitigating Backdoor Attacks in Federated Learning. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. CoRR (2024)
Qin Yang, Meisam Mohammady, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong
LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models. CoRR (2024)
Thirasara Ariyarathna, Meisam Mohammady, Hye-Young Paik, Salil S. Kanhere
VLIA: Navigating Shadows with Proximity for Highly Accurate Visited Location Inference Attack against Federated Recommendation Models. AsiaCCS (2024)
Gnanakumar Thedchanamoorthy, Michael Bewong, Meisam Mohammady, Tanveer A. Zia, Md Zahidul Islam
Optimization of UD-LDP with statistical prior knowledge. PerCom Workshops (2024)
Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Shuya Feng, Meisam Mohammady, Han Wang, Xiaochen Li, Zhan Qin, Yuan Hong
DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. CoRR (2023)
M. A. P. Chamikara, Seung Ick Jang, Ian Oppermann, Dongxi Liu, Musotto Roberto, Sushmita Ruj, Arindam Pal, Meisam Mohammady, Seyit Camtepe, Sylvia Young, Chris Dorrian, Nasir David
OptimShare: A Unified Framework for Privacy Preserving Data Sharing - Towards the Practical Utility of Data with Privacy. CoRR (2023)
Meisam Mohammady, Reza Arablouei
Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic Analysis. CoRR (2023)
Meisam Mohammady
Randomized Privacy Budget Differential Privacy. CoRR (2022)
Meisam Mohammady, Han Wang, Lingyu Wang, Mengyuan Zhang, Yosr Jarraya, Suryadipta Majumdar, Makan Pourzandi, Mourad Debbabi, Yuan Hong
DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning. CoRR (2022)
Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong
A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (Extended Abstract). ICDE (2022)
Meisam Mohammady, Momen Oqaily, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi
A Multi-view Approach to Preserve Privacy and Utility in Network Trace Anonymization. ACM Trans. Priv. Secur. 24 (3) (2021)
Momen Oqaily, Yosr Jarraya, Meisam Mohammady, Suryadipta Majumdar, Makan Pourzandi, Lingyu Wang, Mourad Debbabi
SegGuard: Segmentation-Based Anonymization of Network Data in Clouds for Privacy-Preserving Security Auditing. IEEE Trans. Dependable Secur. Comput. 18 (5) (2021)
Bingyu Liu, Shangyu Xie, Han Wang, Yuan Hong, Xuegang Ban, Meisam Mohammady
VTDP: Privately Sanitizing Fine-Grained Vehicle Trajectory Data With Boosted Utility. IEEE Trans. Dependable Secur. Comput. 18 (6) (2021)
Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi, Mourad Debbabi
R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions. CCS (2020)
Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi, Mourad Debbabi
DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions. CoRR (2020)
Suryadipta Majumdar, Azadeh Tabiban, Meisam Mohammady, Alaa Oqaily, Yosr Jarraya, Makan Pourzandi, Lingyu Wang, Mourad Debbabi
Proactivizer: Transforming Existing Verification Tools into Efficient Solutions for Runtime Security Enforcement. ESORICS (2) (2019)
Suryadipta Majumdar, Azadeh Tabiban, Meisam Mohammady, Alaa Oqaily, Yosr Jarraya, Makan Pourzandi, Lingyu Wang, Mourad Debbabi
Multi-Level Proactive Security Auditing for Clouds. DSC (2019)
Meisam Mohammady, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi
Preserving Both Privacy and Utility in Network Trace Anonymization. CoRR (2018)
Jerome Le Ny, Meisam Mohammady
Differentially Private MIMO Filtering for Event Streams. IEEE Trans. Autom. Control. 63 (1) (2018)
Meisam Mohammady, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi
Preserving Both Privacy and Utility in Network Trace Anonymization. CCS (2018)
Jerome Le Ny, Meisam Mohammady
Differentially private MIMO filtering for event streams and spatio-temporal monitoring. CDC (2014)
Jerome Le Ny, Meisam Mohammady
Differentially Private MIMO Filtering for Event Streams and Spatio-Temporal Monitoring. CoRR (2014)