30 citations · 72 across the 10 of their papers we have counts for
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cs.CV2022★ 3 cited
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…
cs.CR2022★ 19 cited
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction
Yijun Yang, Ruiyuan Gao, Yu Li +2
Adversarial examples (AEs) pose severe threats to the applications of deep neural networks (DNNs) to safety-critical domains, e.g., autonomous driving. While there has been a vast…