265 citations · 566 across the 18 of their papers we have counts for
6 papers · 1 filter
Model Extraction Warning in MLaaS Paradigm
Manish Kesarwani, Bhaskar Mukhoty, Vijay Arya +1
Cloud vendors are increasingly offering machine learning services as part of their platform and services portfolios. These services enable the deployment of machine learning models…
An End-To-End Machine Learning Pipeline That Ensures Fairness Policies
Samiulla Shaikh, Harit Vishwakarma, Sameep Mehta +3
In consequential real-world applications, machine learning (ML) based systems are expected to provide fair and non-discriminatory decisions on candidates from groups defined by pro…
Bollywood Movie Corpus for Text, Images and Videos
Nishtha Madaan, Sameep Mehta, Mayank Saxena +3
In past few years, several data-sets have been released for text and images. We present an approach to create the data-set for use in detecting and removing gender bias from text.…
Analyzing Gender Stereotyping in Bollywood Movies
Nishtha Madaan, Sameep Mehta, Taneea S Agrawaal +3
The presence of gender stereotypes in many aspects of society is a well-known phenomenon. In this paper, we focus on studying such stereotypes and bias in Hindi movie industry (Bol…
A Survey on Resilient Machine Learning
Atul Kumar, Sameep Mehta
Machine learning based system are increasingly being used for sensitive tasks such as security surveillance, guiding autonomous vehicle, taking investment decisions, detecting and…
Towards Crafting Text Adversarial Samples
Suranjana Samanta, Sameep Mehta
Adversarial samples are strategically modified samples, which are crafted with the purpose of fooling a classifier at hand. An attacker introduces specially crafted adversarial sam…