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20152022
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations · 5.1k across the 51 of their papers we have counts for

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cs.CR2021

Defending against Model Stealing via Verifying Embedded External Features

Yiming Li, Linghui Zhu, Xiaojun Jia +3

Obtaining a well-trained model involves expensive data collection and training procedures, therefore the model is a valuable intellectual property. Recent studies revealed that adv…

cs.CR2020★ 8 cited

Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples

Xiaojun Jia, Xingxing Wei, Xiaochun Cao +1

Recent research has demonstrated that adding some imperceptible perturbations to original images can fool deep learning models. However, the current adversarial perturbations are u…