most citedTowards Crafting Text Adversarial Samples

166 citations · 197 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CR2018

Secure k-NN as a Service Over Encrypted Data in Multi-User Setting

Gagandeep Singh, Akshar Kaul, Sameep Mehta

To securely leverage the advantages of Cloud Computing, recently a lot of research has happened in the area of "Secure Query Processing over Encrypted Data". As a concrete use case…

cs.LG2017

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…

cs.CY20178 cited

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…

cs.CY2017

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.…

cs.SI20179 cited

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…

cs.AI201714 cited

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…