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Meisam Mohammady
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2020 – today
- 2024
- [j6]Kane Walter
, Meisam Mohammady
, Surya Nepal
, Salil S. Kanhere
:
Optimally Mitigating Backdoor Attacks in Federated Learning. IEEE Trans. Dependable Secur. Comput. 21(4): 2949-2963 (2024) - [c9]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 - [c8]Kane Walter
, Meisam Mohammady
, Surya Nepal
, Salil S. Kanhere
:
Mitigating Distributed Backdoor Attack in Federated Learning Through Mode Connectivity. AsiaCCS 2024 - [c7]Gnanakumar Thedchanamoorthy
, Michael Bewong
, Meisam Mohammady, Tanveer A. Zia
, Md Zahidul Islam
:
Optimization of UD-LDP with statistical prior knowledge. PerCom Workshops 2024: 25-30 - [i10]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 abs/2405.18776 (2024) - [i9]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 abs/2407.14710 (2024) - 2023
- [j5]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): 1-15 (2023) - [i8]Meisam Mohammady, Reza Arablouei:
Efficient Privacy-Preserved Processing of Multimodal Data for Vehicular Traffic Analysis. CoRR abs/2302.09783 (2023) - [i7]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:
OptimShare: A Unified Framework for Privacy Preserving Data Sharing - Towards the Practical Utility of Data with Privacy. CoRR abs/2306.03379 (2023) - [i6]Shuya Feng, Meisam Mohammady, Han Wang, Xiaochen Li, Zhan Qin, Yuan Hong:
DPI: Ensuring Strict Differential Privacy for Infinite Data Streaming. CoRR abs/2312.04738 (2023) - 2022
- [c6]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: 1549-1550 - [i5]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 abs/2206.13046 (2022) - [i4]Meisam Mohammady:
Randomized Privacy Budget Differential Privacy. CoRR abs/2209.01468 (2022) - 2021
- [j4]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): 2486-2505 (2021) - [j3]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): 2643-2657 (2021) - [j2]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): 14:1-14:36 (2021) - 2020
- [c5]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: 677-696 - [i3]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. CoRR abs/2009.09451 (2020)
2010 – 2019
- 2019
- [c4]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: 1-8 - [c3]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: 239-262 - 2018
- [j1]Jerome Le Ny
, Meisam Mohammady
:
Differentially Private MIMO Filtering for Event Streams. IEEE Trans. Autom. Control. 63(1): 145-157 (2018) - [c2]Meisam Mohammady, Lingyu Wang, Yuan Hong
, Habib Louafi, Makan Pourzandi, Mourad Debbabi
:
Preserving Both Privacy and Utility in Network Trace Anonymization. CCS 2018: 459-474 - [i2]Meisam Mohammady, Lingyu Wang, Yuan Hong, Habib Louafi, Makan Pourzandi, Mourad Debbabi:
Preserving Both Privacy and Utility in Network Trace Anonymization. CoRR abs/1810.10464 (2018) - 2014
- [c1]Jerome Le Ny, Meisam Mohammady:
Differentially private MIMO filtering for event streams and spatio-temporal monitoring. CDC 2014: 2148-2153 - [i1]Jerome Le Ny, Meisam Mohammady:
Differentially Private MIMO Filtering for Event Streams and Spatio-Temporal Monitoring. CoRR abs/1407.5553 (2014)
Coauthor Index
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