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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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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. ∙
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"Let me convince you to buy my product ... ": A Case Study of an Automated Persuasive System for Fashion Products
Persuasivenes is a creative art aimed at making people believe in certai...
09/25/2017 ∙ by Vitobha Munigala, et al. ∙
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