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Mina Alishahi

Observed name: Mina Sheikh Alishahi
ORCID: 0000-0002-1159-8832
Observed ORCID: 0000-0002-1159-8832
OpenAlex ID: A5009422885
On the privacy protection of indoor location dataset using anonymization
2022 · Amir Fathalizadeh, Vahideh Moghtadaiee, et al. · Computers & Security · 34
Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy
2022 · Hojjat Navidan, Vahideh Moghtadaiee, et al. · IEEE European Symposium on Security and Privacy Workshops (EuroS&PW) · 26
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Indoor Geo-Indistinguishability: Adopting Differential Privacy for Indoor Location Data Protection
2023 · Amir Fathalizadeh, Vahideh Moghtadaiee, et al. · IEEE Transactions on Emerging Topics in Computing · 24
Add noise to remove noise: Local differential privacy for feature selection
2022 · Mina Alishahi, Vahideh Moghtadaiee, et al. · Computers & Security · 23
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A survey and future outlook on indoor location fingerprinting privacy preservation
2025 · Amir Fathalizadeh, Vahideh Moghtadaiee, et al. · Computer Networks · 19
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Clustering Spam Emails into Campaigns
2015 · Mina Sheikh Alishahi, Mohamed Mejri, et al. · International Conference on Information Systems Security and Privacy (ICISSP) · 14
Multi-Party Private Set Intersection Protocols for Practical Applications
2021 · Asli Bay, Zeki Erkin, et al. · International Conference on Security and Cryptography · 12
Differentially private GANs for generating synthetic indoor location data
2025 · Vahideh Moghtadaiee, Mina Alishahi, et al. · International Journal of Information Security · 11
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Comparing Classifiers’ Performance under Differential Privacy
2021 · Milan Lopuhaä-Zwakenberg, Mina Alishahi, et al. · International Conference on Security and Cryptography · 8
Membership Inference Attacks Against Indoor Location Models
2024 · Vahideh Moghtadaiee, Amir Fathalizadeh, et al. · International Conference on Security and Cryptography · 5
Feature Selection on Anonymized Datasets
2023 · Mina Alishahi, Vahideh Moghtadaiee · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · 5
Not a Free Lunch, But a Cheap One: On Classifiers Performance on Anonymized Datasets
2021 · Mina Alishahi, Nicola Zannone · Lecture notes in computer science · 5
Mutual impact of feature selection and privacy-preserving mechanisms
2026 · Mina Alishahi, Vahideh Moghtadaiee, et al. · International Journal of Machine Learning and Cybernetics · 3
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Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization’s Impact on ML Fairness
2025 · Héber H. Arcolezi, Mina Alishahi, et al. · Frontiers in artificial intelligence and applications · 3
Anonify: Decentralized Dual-level Anonymity for Medical Data Donation
2024 · Sarah Abdelwahab Gaballah, Lamya Abdullah, et al. · Proceedings on Privacy Enhancing Technologies · 3
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BC-FL k-means: A Blockchain-based Framework for Federated Clustering
2023 · Mina Alishahi, Wouter Leeuw, et al. · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) · 3
From Real to Synthetic: GAN and DPGAN for Privacy Preserving Classifications
2025 · Mohammad Emadi, Vahideh Moghtadaiee, et al. · International Conference on Security and Cryptography · 2
Local Differential Privacy for Data Clustering
2024 · Lisa Bruder, Mina Alishahi · International Conference on Security and Cryptography · 2
Learning Without Sharing: A Comparative Study of Federated Learning Models for Healthcare
2025 · Anja Campmans, Mina Alishahi, et al. · International Conference on Security and Cryptography · 1
Generalized Differential Privacy for Clustering
2024 · Mina Alishahi, Tjibbe Van Der Ende, et al. · 1
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Autoencoder for Detecting Malicious Updates in Differentially Private Federated Learning
2024 · Lucia Alonso, Mina Alishahi · International Conference on Security and Cryptography · 1
Collaborative Private Classifiers Construction
2023 · Mina Alishahi, Vahideh Moghtadaiee · Advanced sciences and technologies for security applications · 1
Can We Explain What We Anonymize? On the Impact of Data Anonymization on Post-hoc Model Explanations
2026 · Casper Lauge Nørup Koch, Mina Alishahi, et al. · IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)
DL-DPGAN: A Correlation-Regularized Differentially Private GAN for Privacy-Utility Balanced Synthetic Data Generation
2026 · Mohammad Emadi, Vahideh Moghtadaiee, et al. · Research Square
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Fairness Under Noise: How Differential Privacy Affects Bias in GANs-Generated Data
2026 · Ilse Harmers, Mina Alishahi · Lecture notes in computer science
Works count: 36
Citation count: 206
H-index: 8
I10-index: 8
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