Publications

1. **Qin Yang**, *Meisam Mohammady$^{*}$*, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong. *LMO-DP: Accurately Fine-Tuning Language Models with Stronger Differential Privacy*. [Preprint] *Equal Contribution (Co-First Authors)*.
2. **Shuya Feng$^{*}$**, *Meisam Mohammady$^{*}$*, Han Wang, Xiaochen Li, Zhan Qin, Yuan Hong. *DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming*. The 45th IEEE Symposium on Security and Privacy (S\&P' 24). *Acceptance rate: $202/1389 \sim 14.5\%$. *Equal Contribution (Co-First Authors)*.
3. Thirasara Ariyarathna, *Meisam Mohammady*, Hye-Young (Helen) Paik and Salil S Kanhere. *VLIA: Navigating Shadows with Proximity for Highly Accurate Visited Location Inference Attack against Federated Recommendation Models*. The 19th ACM ASIA Conference on Computer and Communications Security (ASIACCS'24). *Acceptance rate: $55/284 \sim 19\%$.*
4. OptimShare: A Unified Framework for Privacy Preserving Data Sharing--Towards the Practical Utility of Data with Privacy, MAP Chamikara, Seung Ick Jang, Ian Oppermann, Dongxi Liu, Musotto Roberto, Sushmita Ruj, Arindam Pal, Meisam Mohammady, Seyit Camtepe, Sylvia Young, Chris Dorrian, Nasir David. [Preprint]
5. Thirasara Ariyarathna, *Meisam Mohammady*, Hye-Young (Helen) Paik and Salil S Kanhere. *User GPS Trajectory Reconstruction from Federated Route Recommendation Models*. ACM Transactions on Intelligent Systems and Technology (ACM TIST'24). *IF: 10.489.*
6. Kane Walter, *Meisam Mohammady*, Surya Nepal, Salil S. Kanhere. *Mitigating Distributed Backdoor Attack in Federated Learning Through Mode Connectivity*. The 19th ACM ASIA Conference on Computer and Communications Security (ASIACCS'24). *Acceptance rate: $55/284 \sim 19\%$.*
7. G Thedchanamoorthy, M Bewong, *M Mohammady*, TA Zia, MZ Islam. *Optimization of UD-LDP with statistical prior knowledge*. The 22nd International Conference on Pervasive Computing and Communications (PerCom 2024).*
8. Kane Walter, *Meisam Mohammady*, Surya Nepal, Salil S. Kanhere. *Optimally Mitigating Backdoor Attacks in Federated Learning*. The IEEE Transactions on Dependable and Secure Computing (TDSC' 23) (IF: 7.3).*
9. *Meisam Mohammady*, Reza Arablouei. *Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic Analysis*. The 2023 Symposium on Vehicles Security and Privacy (VehicleSec'23).*
10. *Meisam Mohammady*, Momen Oqaily, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi and Mourad Debbabi. *A Multi-view Approach to Preserve Both Privacy and Utility in Network Trace Anonymization.* ACM Transactions on Privacy and Security (TOPS) (formerly known as TISSEC), Published, 2020.*
11. Shangyu Xie, *Meisam Mohammady*, Han Wang, Yuan Hong, Lingyu Wang, and Jaideep Vaidya. *Generalizing Prefix-Preserving Data Outsourcing: Ensuring both Privacy and Utility.* IEEE Transactions on Knowledge and Data Engineering (TKDE), Published , 2020.*
12. *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.* ACM Conference on Computer and Communications Security (CCS’ 20), Published, 2020 [Acceptance rate: 11\%].*
13. Momen Oqaily, Yosr Jarrya, *Meisam Mohammady*, Suryadipta Majumdar, Lingyu Wang, Makan Pourzandi and Mourad Debbabi, *SegGuard: Protecting Audit Data Using Segmentation-based Anonymization for Multi-tenant Cloud Auditing.* IEEE Transactions on Dependable and Secure Computing (TDSC), Published, 2019 [impact factor: 6.864].*
14. Bingyu Liu, Shangyu Xie, Han Wang, Yuan Hong, Xuegang Ban, *Meisam Mohammady*. *VTDP: Privately Sanitizing Fine-grained Vehicle Trajectory Data with Boosted Utility.* IEEE Transactions on Dependable and Secure Computing (TDSC), Published, 2019 [impact factor: 6.864].*
15. Suryadipta Majumdar, Azadeh Tabiban, *Meisam Mohammady*, Alaa Oqaily, Yosr Jarraya, Makan Pourzandi, Lingyu Wang and Mourad Debbabi. *Proactivizer: Transforming Existing Verification Tools into Efficient Solutions for Runtime Security Enforcement.* In Proceedings of the 24th European Symposium on Research in Computer Security (ESORICS’ 19), Published, 2019, [Acceptance rate: 19.5%].*
16. Suryadipta Majumdar, Azadeh Tabiban, *Meisam Mohammady*, Alaa Oqaily, Yosr Jarraya, Makan Pourzandi, Lingyu Wang and Mourad Debbabi. *Multi-Level Proactive Security Auditing for Clouds.* In Proceedings of the 2019 IEEE Conference on Dependable and Secure Computing (DSC’ 19), Published 2019.*
17. *Meisam Mohammady*, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi and Mourad Debbabi. *Preserving Both Privacy and Utility in Network Trace Anonymization.* In Proceedings of the 25th ACM Conference on Computer and Communications Security (CCS’ 18), Published, 2018 [Acceptance rate: 16.5%].*
18. Jerome Le Ny and *Meisam Mohammady*. *Differentially private MIMO filtering for event streams.* IEEE Transactions on Automatic Control, Published, 2018 [impact factor: 5.625].*
19. Jerome Le Ny and *Meisam Mohammady*. *Differentially private MIMO filtering for event streams and spatio-temporal monitoring.* In Proceedings of the 53rd IEEE Conference on Decision and Control (CDC’ 14), Published, 2014 [H Index: 118].*

Patents

1. Meisam Mohammady, Yosr Jarraya, Lingyu Wang, Mourad Debbabi and Makan Pourzandi. *Partition-based prefix preserving anonymization approach for network traces containing ip addresses.* US Patent App. 16/477,428, 2019, Published 2019.*
2. Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi and Mourad Debbabi. *R2DP: Randomizing the Randomization Parameters in Differentially Private Mechanisms.* US Patent, filed 2019.*
3. Meisam Mohammady, Han Wang, Yuan Hong, Mengyuan Zhang, Suryaipta Majumdar, Lingyu Wang, Makan Pourzandi and Mourad Debbabi. *DPOD: Differentially Private Outsourcing of Anomaly Detection.* US Patent, Under Review, 2020.*