A k-Anonymised Federated Learning Framework with Decision Trees. - Saloni Kwatra; Vicenç Torra (DPM/CBT@ESORICS, 2021)

A Survey on Tree Aggregation. - Saloni Kwatra; Vicenç Torra (FUZZ-IEEE, 2021)

Integrally Private Model Selection for Support Vector Machine. - Saloni Kwatra; Ayush K. Varshney; Vicenç Torra (ESORICS Workshops (1), 2023)

Empirical Evaluation of Synthetic Data Created by Generative Models via Attribute Inference Attack. - Saloni Kwatra; Vicenç Torra (Privacy and Identity Management, 2023)

Data Reconstruction Attack Against Principal Component Analysis. - Saloni Kwatra; Vicenç Torra (SocialSec, 2023)

DISCOLEAF: Personalized DIScretization of COntinuous Attributes for LEArning with Federated Decision Trees. - Saloni Kwatra; Vicenç Torra (PSD, 2024)

Balancing Act: Navigating the Privacy-Utility Spectrum in Principal Component Analysis. - Saloni Kwatra; Anna Monreale; Francesca Naretto (SECRYPT, 2024)

Navigating data privacy and utility: a strategic perspective - Saloni Kwatra (2024)