19 citations · 93 across the 19 of their papers we have counts for
5 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…
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…
EREBA: Black-box Energy Testing of Adaptive Neural Networks
Mirazul Haque, Yaswanth Yadlapalli, Wei Yang +1
Recently, various Deep Neural Network (DNN) models have been proposed for environments like embedded systems with stringent energy constraints. The fundamental problem of determini…
PolicyCleanse: Backdoor Detection and Mitigation in Reinforcement Learning
Junfeng Guo, Ang Li, Cong Liu
While real-world applications of reinforcement learning are becoming popular, the security and robustness of RL systems are worthy of more attention and exploration. In particular,…