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Found 2 papers, 2 papers with code
Distribution-Aware Testing of Neural Networks Using Generative Models
Using deep generative model based input validation, we show that all the three techniques generate significant number of invalid test inputs.
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers
Although various techniques have been proposed to generate adversarial samples for white-box attacks on text, little attention has been paid to black-box attacks, which are more realistic scenarios.
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