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Dynamic Transformer Provide a False Sense of Efficiency
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Yiming Chen, Simin Chen, Zexin Li, Wei Yang, Cong Liu, Robby Tan, Haizhou Li
The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection
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Simin Chen, Hanlin Chen, Mirazul Haque, Cong Liu, Wei Yang
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
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Zexin Li, Bangjie Yin, Taiping Yao, Junfeng Guo, Shouhong Ding, Simin Chen, Cong Liu
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization
The deep learning (DL) compiler is a fundamental piece of infrastructure that enables the deployment of deep neural networks on various …
Simin Chen, Shiyi Wei, Cong Liu, Wei Yang
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
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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
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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
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NICGSlowDown: Evaluating the Efficiency Robustness of Neural Caption Generation Models
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Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang
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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
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