173 citations · 209 across the 4 of their papers we have counts for
4 papers
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification
Yu Li, Muxi Chen, Yannan Liu +2
Deep Active Learning (DAL) has been advocated as a promising method to reduce labeling costs in supervised learning. However, existing evaluations of DAL methods are based on diffe…
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks
Yu Li, Min Li, Qiuxia Lai +2
Deep learning (DL) has achieved unprecedented success in a variety of tasks. However, DL systems are notoriously difficult to test and debug due to the lack of explainability of DL…
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators
Lingxiao Wei, Bo Luo, Yu Li +2
Deep learning has become the de-facto computational paradigm for various kinds of perception problems, including many privacy-sensitive applications such as online medical image an…
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks
Bo Luo, Yannan Liu, Lingxiao Wei +1
Machine learning systems based on deep neural networks, being able to produce state-of-the-art results on various perception tasks, have gained mainstream adoption in many applicat…