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Srikanth Tamilselvam

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Read between the lines -- Functionality Extraction From READMEs

Mar 15, 2024
Prince Kumar, Srikanth Tamilselvam, Dinesh Garg

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COMEX: A Tool for Generating Customized Source Code Representations

Jul 10, 2023
Debeshee Das, Noble Saji Mathews, Alex Mathai, Srikanth Tamilselvam, Kranthi Sedamaki, Sridhar Chimalakonda, Atul Kumar

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Prompting with Pseudo-Code Instructions

May 22, 2023
Mayank Mishra, Prince Kumar, Riyaz Bhat, Rudra Murthy V, Danish Contractor, Srikanth Tamilselvam

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Monolith to Microservices: Representing Application Software through Heterogeneous GNN

Dec 17, 2021
Alex Mathai, Sambaran Bandyopadhyay, Utkarsh Desai, Srikanth Tamilselvam

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Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

Feb 07, 2021
Utkarsh Desai, Sambaran Bandyopadhyay, Srikanth Tamilselvam

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Adversarial Black-Box Attacks On Text Classifiers Using Multi-Objective Genetic Optimization Guided By Deep Networks

Nov 10, 2020
Alex Mathai, Shreya Khare, Srikanth Tamilselvam, Senthil Mani

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Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions

Jan 31, 2020
Utkarsh Desai, Srikanth Tamilselvam, Jassimran Kaur, Senthil Mani, Shreya Khare

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"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets

Nov 26, 2019
Ameya Prabhu, Riddhiman Dasgupta, Anush Sankaran, Srikanth Tamilselvam, Senthil Mani

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Coverage Testing of Deep Learning Models using Dataset Characterization

Nov 17, 2019
Senthil Mani, Anush Sankaran, Srikanth Tamilselvam, Akshay Sethi

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