6 citations · 13 across the 3 of their papers we have counts for
3 papers
Fair Play for Individuals, Foul Play for Groups? Auditing Anonymization's Impact on ML Fairness
Héber H. Arcolezi, Mina Alishahi, Adda-Akram Bendoukha +1
Machine learning (ML) algorithms are heavily based on the availability of training data, which, depending on the domain, often includes sensitive information about data providers.…
Differentially Private GANs for Generating Synthetic Indoor Location Data
Vahideh Moghtadaiee, Mina Alishahi, Milad Rabiei
The advent of location-based services has led to the widespread adoption of indoor localization systems, which enable location tracking of individuals within enclosed spaces such a…
A Survey and Future Outlook on Indoor Location Fingerprinting Privacy Preservation
Amir Fathalizadeh, Vahideh Moghtadaiee, Mina Alishahi
The pervasive integration of Indoor Positioning Systems (IPS) arises from the limitations of Global Navigation Satellite Systems (GNSS) in indoor environments, leading to the wides…