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08/17/2023
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks
Deep Neural Networks (DNNs) have been used to solve different day-to-day...
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06/01/2023
SlothSpeech: Denial-of-service Attack Against Speech Recognition Models
Deep Learning (DL) models have been popular nowadays to execute differen...
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10/14/2022
TestAug: A Framework for Augmenting Capability-based NLP Tests
The recently proposed capability-based NLP testing allows model develope...
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10/10/2022
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks
Today, an increasing number of Adaptive Deep Neural Networks (AdNNs) are...
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10/07/2022
NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems
Neural Machine Translation (NMT) systems have received much recent atten...
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04/19/2022
CorrGAN: Input Transformation Technique Against Natural Corruptions
Because of the increasing accuracy of Deep Neural Networks (DNNs) on dif...
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03/29/2022
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
Neural image caption generation (NICG) models have received massive atte...
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02/12/2022
