15 citations · 15 across the 1 of their papers we have counts for
2 papers
cs.AI2026
ASIRF: An Agentic Framework for Context-Dependent Sensitive Information Redaction
Sudha Priyadarshini, Mohamed Chahine Ghanem
Sensitive information is defined by domain and intent, not a universal category, yet redaction systems such as privacy filters and named-entity recognizers fix a taxonomy at traini…
stat.ML2022★ 15 cited
FedSyn: Synthetic Data Generation using Federated Learning
Monik Raj Behera, Sudhir Upadhyay, Suresh Shetty +3
As Deep Learning algorithms continue to evolve and become more sophisticated, they require massive datasets for model training and efficacy of models. Some of those data requiremen…