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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 ...
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Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions
Text classification models, especially neural networks based models, hav...
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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...
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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...
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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...
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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 ...
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mAnI: Movie Amalgamation using Neural Imitation
Cross-modal data retrieval has been the basis of various creative tasks ...
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DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models
Traditional software engineering programming paradigms are mostly object...
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