189 citations · 262 across the 7 of their papers we have counts for
8 papers
AegisVox: Factorized Privacy and Clinical Preservation for Long-Form Speech
Praphul Singh, Akshat Agarwal, Ratul Ghosh +5
Clinical speech reveals identity through both spoken identifiers and voice, yet its pauses, delivery, and speaker roles can also carry useful clinical evidence. Protecting that spe…
Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems
Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas +38
We present results from a large-scale experiment on pretraining encoders with non-embedding parameter counts ranging from 700M to 9.3B, their subsequent distillation into smaller m…
Metamorphic Testing of a Deep Learning based Forecaster
Anurag Dwarakanath, Manish Ahuja, Sanjay Podder +3
In this paper, we present the Metamorphic Testing of an in-use deep learning based forecasting application. The application looks at the past data of system characteristics (e.g. `…
Trustworthiness in Enterprise Crowdsourcing: a Taxonomy & evidence from data
Anurag Dwarakanath, Shrikanth N. C., Kumar Abhinav +1
In this paper we study the trustworthiness of the crowd for crowdsourced software development. Through the study of literature from various domains, we present the risks that impac…
Machines that test Software like Humans
Anurag Dwarakanath, Neville Dubash, Sanjay Podder
Automated software testing involves the execution of test scripts by a machine instead of being manually run. This significantly reduces the amount of manual time & effort needed a…
Minimum Number of Test Paths for Prime Path and other Structural Coverage Criteria
Anurag Dwarakanath, Aruna Jankiti
The software system under test can be modeled as a graph comprising of a set of vertices, (V) and a set of edges, (E). Test Cases are Test Paths over the graph meeting a particular…
Accelerating Test Automation through a Domain Specific Language
Anurag Dwarakanath, Dipin Era, Aditya Priyadarshi +2
Test automation involves the automatic execution of test scripts instead of being manually run. This significantly reduces the amount of manual effort needed and thus is of great i…
Identifying Implementation Bugs in Machine Learning based Image Classifiers using Metamorphic Testing
Anurag Dwarakanath, Manish Ahuja, Samarth Sikand +4
We have recently witnessed tremendous success of Machine Learning (ML) in practical applications. Computer vision, speech recognition and language translation have all seen a near…