12 citations · 18 across the 3 of their papers we have counts for
3 papers
Data-Driven Mitigation of Adversarial Text Perturbation
Rasika Bhalerao, Mohammad Al-Rubaie, Anand Bhaskar +1
Social networks have become an indispensable part of our lives, with billions of people producing ever-increasing amounts of text. At such scales, content policies and their enforc…
Locally Differentially Private Naive Bayes Classification
Emre Yilmaz, Mohammad Al-Rubaie, J. Morris Chang
In machine learning, classification models need to be trained in order to predict class labels. When the training data contains personal information about individuals, collecting t…
Privacy Preserving Machine Learning: Threats and Solutions
Mohammad Al-Rubaie, J. Morris Chang
For privacy concerns to be addressed adequately in current machine learning systems, the knowledge gap between the machine learning and privacy communities must be bridged. This ar…