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07/11/2023
DyCL: Dynamic Neural Network Compilation Via Program Rewriting and Graph Optimization
DL compiler's primary function is to translate DNN programs written in h...
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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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05/20/2023
Dynamic Transformers Provide a False Sense of Efficiency
Despite much success in natural language processing (NLP), pre-trained l...
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03/22/2023
Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition
A hard challenge in developing practical face recognition (FR) attacks i...
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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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05/20/2022
Learning to Reverse DNNs from AI Programs Automatically
With the privatization deployment of DNNs on edge devices, the security ...
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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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07/23/2021
