6 citations · 11 across the 17 of their papers we have counts for
4 papers · 1 filter
DeepPerform: An Efficient Approach for Performance Testing of Resource-Constrained Neural Networks
Simin Chen, Mirazul Haque, Cong Liu +1
Today, an increasing number of Adaptive Deep Neural Networks (AdNNs) are being used on resource-constrained embedded devices. We observe that, similar to traditional software, redu…
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models
Xiaoning Feng, Xiaohong Han, Simin Chen +1
In this paper, we make the first attempt to understand and test potential computation efficiency robustness in state-of-the-art LLMs. By analyzing the working mechanism and impleme…
Learning to Reverse DNNs from AI Programs Automatically
Simin Chen, Hamed Khanpour, Cong Liu +1
With the privatization deployment of DNNs on edge devices, the security of on-device DNNs has raised significant concern. To quantify the model leakage risk of on-device DNNs autom…
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models
Simin Chen, Zihe Song, Mirazul Haque +2
Neural image caption generation (NICG) models have received massive attention from the research community due to their excellent performance in visual understanding. Existing work…