Journal Paper

1. "Indoor Geo-Indistinguishability: Adopting Differential Privacy for Indoor Location Data Protection"
   Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi
   IEEE Transactions on Emerging Topics in Computing, Vol. 12, pp.293-306, 2024
2. "Add noise to remove noise: Local differential privacy for feature selection"
   Mina Alishahi, Vahideh Moghtadaiee, Hojjat Navidan
   COMPUTERS and SECURITY, Vol. 123, 2022
3. "On the privacy protection of indoor location dataset using anonymization"
   Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi
   COMPUTERS and SECURITY, Vol. 117, 2022
4. "A Low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems"
   Amir Mahdi Sazdar, Seyed Ali Ghorashi, Vahideh Moghtadaiee, Ahmad Khonsari, David Windridge
   Journal of Information Security and Applications, Vol. 53, 2020
5. "Fingerprinting Based Indoor Localization Considering the Dynamic Nature of Wi-Fi Signals"
   Nasim Alikhani, Vahideh Moghtadaiee, Seyed Ali Ghorashi
   WIRELESS PERSONAL COMMUNICATIONS, Vol. 115, pp.1445-1464, 2020

Conference Paper

1. "Feature Selection on Anonymized Datasets"
   Mina Alishahi, Vahideh Moghtadaiee
   The 21st IEEE International Conference on Dependable, Autonomic & Secure Computing (DASC 2023), pp.852-859, 2023
2. "Zone-Based Federated Learning in Indoor Positioning"
   Omid Tasbaz, Vahideh Moghtadaiee, Bahar Farahani
   12th International Conference on Computer and Knowledge Engineering (ICCKE2022), pp.1-6, 2022
3. "Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy"
   Hojjat Navidan, Vahideh Moghtadaiee, Niki Nazaran, Mina Sheikhalishahi
   7th IEEE European Symposium on Security and Privacy, pp.514-523, 2022