Senthil Mani

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

We propose a novel genetic-algorithm technique that generates black-box ...
11/08/2020 ∙ by Alex Mathai, et al. ∙ 0 ∙ share

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Evaluation of Siamese Networks for Semantic Code Search

With the increase in the number of open repositories and discussion foru...
10/12/2020 ∙ by Raunak Sinha, et al. ∙ 0 ∙ share

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Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks

Existing deep learning approaches for learning visual features tend to o...
05/20/2020 ∙ by Naveen Panwar, et al. ∙ 30 ∙ share

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Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions

Text classification models, especially neural networks based models, hav...
01/31/2020 ∙ by Utkarsh Desai, et al. ∙ 0 ∙ share

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

For an unknown (new) classification dataset, choosing an appropriate dee...
11/26/2019 ∙ by Ameya Prabhu, et al. ∙ 0 ∙ share

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Coverage Testing of Deep Learning Models using Dataset Characterization

Deep Neural Networks (DNNs), with its promising performance, are being i...
11/17/2019 ∙ by Senthil Mani, et al. ∙ 74 ∙ share

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A Visual Programming Paradigm for Abstract Deep Learning Model Development

Deep learning is one of the fastest growing technologies in computer sci...
05/07/2019 ∙ by Srikanth Tamilselvam, et al. ∙ 0 ∙ share

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Explaining Deep Learning Models using Causal Inference

Although deep learning models have been successfully applied to a variet...
11/11/2018 ∙ by Tanmayee Narendra, et al. ∙ 0 ∙ share

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Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization

Fooling deep neural networks with adversarial input have exposed a signi...
11/04/2018 ∙ by Shreya Khare, et al. ∙ 0 ∙ share

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DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging

For a given software bug report, identifying an appropriate developer wh...
01/04/2018 ∙ by Senthil Mani, et al. ∙ 0 ∙ share

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Sanskrit Sandhi Splitting using seq2(seq)^2

In Sanskrit, small words (morphemes) are combined through a morphophonol...
01/01/2018 ∙ by Neelamadhav Gantayat, et al. ∙ 0 ∙ share

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DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers

With an abundance of research papers in deep learning, reproducibility o...
11/09/2017 ∙ by Akshay Sethi, et al. ∙ 0 ∙ share

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Hi, how can I help you?: Automating enterprise IT support help desks

Question answering is one of the primary challenges of natural language ...
11/02/2017 ∙ by Senthil Mani, et al. ∙ 0 ∙ share

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Fault in your stars: An Analysis of Android App Reviews

Mobile app distribution platforms such as Google Play Store allow users ...
08/16/2017 ∙ by Rahul Aralikatte, et al. ∙ 0 ∙ share

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mAnI: Movie Amalgamation using Neural Imitation

Cross-modal data retrieval has been the basis of various creative tasks ...
08/16/2017 ∙ by Naveen Panwar, et al. ∙ 0 ∙ share

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DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models

Traditional software engineering programming paradigms are mostly object...
08/16/2017 ∙ by Anush Sankaran, et al. ∙ 0 ∙ share

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Senthil Mani

Featured Co-authors

Rahul Aralikatte

Anush Sankaran

Shreya Khare

Ameya Prabhu

Naveen Panwar

Neelamadhav Gantayat

Srikanth Tamilselvam

Deepak Vijaykeerthy

Riddhiman Dasgupta

Akshay Sethi

Giriprasad Sridhara

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

Evaluation of Siamese Networks for Semantic Code Search

Reducing Overlearning through Disentangled Representations by Suppressing Unknown Tasks

Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions

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

Coverage Testing of Deep Learning Models using Dataset Characterization

A Visual Programming Paradigm for Abstract Deep Learning Model Development

Explaining Deep Learning Models using Causal Inference

Adversarial Black-Box Attacks for Automatic Speech Recognition Systems Using Multi-Objective Genetic Optimization

DeepTriage: Exploring the Effectiveness of Deep Learning for Bug Triaging

Sanskrit Sandhi Splitting using seq2(seq)^2

DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers

Hi, how can I help you?: Automating enterprise IT support help desks

Fault in your stars: An Analysis of Android App Reviews

mAnI: Movie Amalgamation using Neural Imitation

DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models