Indoor localization using FM radio signals: A fingerprinting approach. - Vahideh Moghtadaiee; Andrew G. Dempster; Samsung Lim (IPIN, 2011)

WiFi fingerprinting signal strength error modeling for short distances. - Vahideh Moghtadaiee; Andrew G. Dempster (IPIN, 2012)

Design protocol and performance analysis of indoor fingerprinting positioning systems. - Vahideh Moghtadaiee; Andrew G. Dempster (Phys. Commun., 2014)

Indoor Location Fingerprinting Using FM Radio Signals. - Vahideh Moghtadaiee; Andrew G. Dempster (IEEE Trans. Broadcast., 2014)

Determining the best vector distance measure for use in location fingerprinting. - Vahideh Moghtadaiee; Andrew G. Dempster (Pervasive Mob. Comput., 2015)

Design of fingerprinting technique for indoor localization using AM radio signals. - Md. Mahbubur Rahman; Vahideh Moghtadaiee; Andrew G. Dempster (IPIN, 2017)

A novel smartphone application for indoor positioning of users based on machine learning. - Elaheh Homayounvala; Mohammad Nabati; Reza Shahbazian; Seyed Ali Ghorashi; Vahideh Moghtadaiee (UbiComp/ISWC Adjunct, 2019)

New Reconstructed Database for Cost Reduction in Indoor Fingerprinting Localization. - Vahideh Moghtadaiee; Seyed Ali Ghorashi; Mohammad Ghavami (IEEE Access, 2019)

Low-cost localisation considering LOS/NLOS impacts in challenging indoor environments. - Vahideh Moghtadaiee; Nasim Alikhani; Seyed Ali Ghorashi (Int. J. Sens. Networks, 2020)

A Low-complexity trajectory privacy preservation approach for indoor fingerprinting positioning systems. - Amir Mahdi Sazdar; Seyed Ali Ghorashi; Vahideh Moghtadaiee; Ahmad Khonsari; David Windridge (J. Inf. Secur. Appl., 2020)

Fingerprinting Based Indoor Localization Considering the Dynamic Nature of Wi-Fi Signals. - Nasim Alikhani; Vahideh Moghtadaiee; Seyed Ali Ghorashi (Wirel. Pers. Commun., 2020)

Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy. - Hojjat Navidan; Vahideh Moghtadaiee; Niki Nazaran; Mina Alishahi (EuroS&P Workshops, 2022)

Add noise to remove noise: Local differential privacy for feature selection. - Mina Alishahi; Vahideh Moghtadaiee; Hojjat Navidan (Comput. Secur., 2022)

On the privacy protection of indoor location dataset using anonymization. - Amir Fathalizadeh; Vahideh Moghtadaiee; Mina Alishahi (Comput. Secur., 2022)

Feature Selection on Anonymized Datasets. - Mina Alishahi; Vahideh Moghtadaiee (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Membership Inference Attacks Against Indoor Location Models. - Vahideh Moghtadaiee; Amir Fathalizadeh; Mina Alishahi (SECRYPT, 2024)

Indoor Location Fingerprinting Privacy: A Comprehensive Survey. - Amir Fathalizadeh; Vahideh Moghtadaiee; Mina Alishahi (CoRR, 2024)

Indoor Geo-Indistinguishability: Adopting Differential Privacy for Indoor Location Data Protection. - Amir Fathalizadeh; Vahideh Moghtadaiee; Mina Alishahi (IEEE Trans. Emerg. Top. Comput., 2024)

Feature fusion federated learning for privacy-aware indoor localization. - Omid Tasbaz; Bahar Farahani; Vahideh Moghtadaiee (Peer Peer Netw. Appl., 2024)

Federated Few-Shot Zone Learning for Indoor Localization. - Amir Fathalizadeh; Vahideh Moghtadaiee; Mina Alishahi (ICL-GNSS, 2025)

Learning Without Sharing: A Comparative Study of Federated Learning Models for Healthcare. - Anja Campmans; Mina Alishahi; Vahideh Moghtadaiee (SECRYPT, 2025)

From Real to Synthetic: GAN and DPGAN for Privacy Preserving Classifications. - Mohammad Emadi; Vahideh Moghtadaiee; Mina Alishahi (SECRYPT, 2025)

A survey and future outlook on indoor location fingerprinting privacy preservation. - Amir Fathalizadeh; Vahideh Moghtadaiee; Mina Alishahi (Comput. Networks, 2025)

Differentially private GANs for generating synthetic indoor location data. - Vahideh Moghtadaiee; Mina Alishahi; Milad Rabiei (Int. J. Inf. Sec., 2025)