Diptikalyan Saha

Reliable Counterfactual Explanations for Autoencoder based Anomalies

2020

Autoencoders have been used successfully for tackling the problem of anomaly detection in an unsupervised setting, and are often known to give better results than traditional approaches such as clustering and subspace-based (linear) methods. A …

Data Synthesis for Testing Black-Box Machine Learning Models

2022

The increasing usage of machine learning models raises the question of the reliability of these models. The current practice of testing with limited data is often insufficient. In this paper, we provide a framework for …