Simin Chen
Simin Chen
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DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks
Today, an increasing number of Adaptive Deep Neural Networks (AdNNs) are being used to make decisions on resource-constrained embedded …
Simin Chen
,
Mirazul Haque
,
Cong Liu
,
Wei Yang
PDF
Code
NMTSloth: Understanding and Testing Efficiency Degradation of Neural Machine Translation Systems
Neural Machine Translation (NMT) systems have received much recent attention due to their human-level accuracy. While existing works …
Simin Chen
,
Cong Liu
,
Mirazul Haque
,
Zihe Song
,
Wei Yang
PDF
Code
Learning to Reverse DNNs from AI Programs Automatically
With the privatization deployment of DNNs on edge devices, the security of on-device DNNs has raised great concern. To quantify model …
Simin Chen
,
Hamed Khanpour
,
Cong Liu
,
Wei Yang
PDF
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Caption Generation Models
Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software. Create your slides in Markdown - click the Slides button to check out the example.
Simin Chen
,
Zihe Song
,
Mirazul Haque
,
Cong Liu
,
Wei Yang
PDF
Code
DENAS: automated rule generation by knowledge extraction from neural networks
Deep neural networks (DNNs) have been widely applied in the software development process to automatically learn patterns from massive …
Simin Chen
,
Soroush Bateni
,
Sampath Grandhi
,
Xiaodi Li
,
Cong Liu
,
Wei Yang
PDF
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