Meisam Mohammady

35 papers A* 5A 4Journal 19Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Lap2: Revisiting Laplace DP-SGD for High Dimensions via Majorization Theory. CoRR Meisam Mohammady, Qin Yang, Nicholas Stout, Ayesha Samreen, Han Wang, Christopher J. Quinn, Yuan Hong
2025	A	`conf`	FedSIG: Privacy-Preserving Federated Recommendation via Synthetic Interaction Generation. RAID Thirasara Ariyarathna, Salil S. Kanhere, Meisam Mohammady, Hye-Young Paik
2025	—	`conf`	Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. CODASPY Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong
2025	A*	`conf`	PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization. CCS Qin Yang, Nicholas Stout, Meisam Mohammady, Han Wang, Ayesha Samreen, Christopher J. Quinn, Yan Yan, Ashish Kundu, Yuan Hong
2025	J	`jnl`	PLRV-O: Advancing Differentially Private Deep Learning via Privacy Loss Random Variable Optimization. CoRR Qin Yang, Nicholas Stout, Meisam Mohammady, Han Wang, Ayesha Samreen, Christopher J. Quinn, Yan Yan, Ashish Kundu, Yuan Hong
2025	A	`conf`	Towards Usability of Data with Privacy: A Unified Framework for Privacy-Preserving Data Sharing with High Utility. AsiaCCS 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
2025	J	`jnl`	UD-LDP: A Technique for optimally catalyzing user driven Local Differential Privacy. Future Gener. Comput. Syst. Gnanakumar Thedchanamoorthy, Michael Bewong, Meisam Mohammady, Tanveer A. Zia, Md Zahidul Islam
2024	A*	`conf`	DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. SP Shuya Feng, Meisam Mohammady, Han Wang, Xiaochen Li, Zhan Qin, Yuan Hong
2024	—	`conf`	FUD-LDP: Fully User Driven Local Differential Privacy. WISE (5) Gnanakumar Thedchanamoorthy, Michael Bewong, Meisam Mohammady, Tanveer A. Zia, Md Zahidul Islam
2024	J	`jnl`	LMO-DP: Optimizing the Randomization Mechanism for Differentially Private Fine-Tuning (Large) Language Models. CoRR Qin Yang, Meisam Mohammady, Han Wang, Ali Payani, Ashish Kundu, Kai Shu, Yan Yan, Yuan Hong
2024	A	`conf`	Mitigating Distributed Backdoor Attack in Federated Learning Through Mode Connectivity. AsiaCCS Kane Walter, Meisam Mohammady, Surya Nepal, Salil S. Kanhere
2024	J	`jnl`	Optimally Mitigating Backdoor Attacks in Federated Learning. IEEE Trans. Dependable Secur. Comput. Kane Walter, Meisam Mohammady, Surya Nepal, Salil S. Kanhere
2024	—	`conf`	Optimization of UD-LDP with statistical prior knowledge. PerCom Workshops Gnanakumar Thedchanamoorthy, Michael Bewong, Meisam Mohammady, Tanveer A. Zia, Md Zahidul Islam
2024	J	`jnl`	Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence. CoRR Shuya Feng, Meisam Mohammady, Hanbin Hong, Shenao Yan, Ashish Kundu, Binghui Wang, Yuan Hong
2024	A	`conf`	VLIA: Navigating Shadows with Proximity for Highly Accurate Visited Location Inference Attack against Federated Recommendation Models. AsiaCCS Thirasara Ariyarathna, Meisam Mohammady, Hye-Young Paik, Salil S. Kanhere
2023	J	`jnl`	A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing. IEEE Trans. Knowl. Data Eng. Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong
2023	J	`jnl`	DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. CoRR Shuya Feng, Meisam Mohammady, Han Wang, Xiaochen Li, Zhan Qin, Yuan Hong
2023	—	`conf`	Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic Analysis. VehicleSec Meisam Mohammady, Reza Arablouei
2023	J	`jnl`	Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic Analysis. CoRR Meisam Mohammady, Reza Arablouei
2023	J	`jnl`	OptimShare: A Unified Framework for Privacy Preserving Data Sharing - Towards the Practical Utility of Data with Privacy. CoRR 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
2022	A*	`conf`	A Generalized Framework for Preserving Both Privacy and Utility in Data Outsourcing (Extended Abstract). ICDE Shangyu Xie, Meisam Mohammady, Han Wang, Lingyu Wang, Jaideep Vaidya, Yuan Hong
2022	J	`jnl`	DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning. CoRR Meisam Mohammady, Han Wang, Lingyu Wang, Mengyuan Zhang, Yosr Jarraya, Suryadipta Majumdar, Makan Pourzandi, Mourad Debbabi, Yuan Hong
2022	J	`jnl`	Randomized Privacy Budget Differential Privacy. CoRR Meisam Mohammady
2021	J	`jnl`	A Multi-view Approach to Preserve Privacy and Utility in Network Trace Anonymization. ACM Trans. Priv. Secur. Meisam Mohammady, Momen Oqaily, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi
2021	J	`jnl`	SegGuard: Segmentation-Based Anonymization of Network Data in Clouds for Privacy-Preserving Security Auditing. IEEE Trans. Dependable Secur. Comput. Momen Oqaily, Yosr Jarraya, Meisam Mohammady, Suryadipta Majumdar, Makan Pourzandi, Lingyu Wang, Mourad Debbabi
2021	J	`jnl`	VTDP: Privately Sanitizing Fine-Grained Vehicle Trajectory Data With Boosted Utility. IEEE Trans. Dependable Secur. Comput. Bingyu Liu, Shangyu Xie, Han Wang, Yuan Hong, Xuegang Ban, Meisam Mohammady
2020	J	`jnl`	R CoRR Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi, Mourad Debbabi
2020	A*	`conf`	R2DP: A Universal and Automated Approach to Optimizing the Randomization Mechanisms of Differential Privacy for Utility Metrics with No Known Optimal Distributions. CCS Meisam Mohammady, Shangyu Xie, Yuan Hong, Mengyuan Zhang, Lingyu Wang, Makan Pourzandi, Mourad Debbabi
2019	—	`conf`	Multi-Level Proactive Security Auditing for Clouds. DSC Suryadipta Majumdar, Azadeh Tabiban, Meisam Mohammady, Alaa Oqaily, Yosr Jarraya, Makan Pourzandi, Lingyu Wang, Mourad Debbabi
2019	—	`conf`	Proactivizer: Transforming Existing Verification Tools into Efficient Solutions for Runtime Security Enforcement. ESORICS (2) Suryadipta Majumdar, Azadeh Tabiban, Meisam Mohammady, Alaa Oqaily, Yosr Jarraya, Makan Pourzandi, Lingyu Wang, Mourad Debbabi
2018	J	`jnl`	Differentially Private MIMO Filtering for Event Streams. IEEE Trans. Autom. Control. Jerome Le Ny, Meisam Mohammady
2018	A*	`conf`	Preserving Both Privacy and Utility in Network Trace Anonymization. CCS Meisam Mohammady, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi
2018	J	`jnl`	Preserving Both Privacy and Utility in Network Trace Anonymization. CoRR Meisam Mohammady, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi
2014	J	`jnl`	Differentially Private MIMO Filtering for Event Streams and Spatio-Temporal Monitoring. CoRR Jerome Le Ny, Meisam Mohammady
2014	—	`conf`	Differentially private MIMO filtering for event streams and spatio-temporal monitoring. CDC Jerome Le Ny, Meisam Mohammady