2 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ML2023★ 2 cited
Detecting Errors in a Numerical Response via any Regression Model
Hang Zhou, Jonas Mueller, Mayank Kumar +2
Noise plagues many numerical datasets, where the recorded values in the data may fail to match the true underlying values due to reasons including: erroneous sensors, data entry/pr…
cs.LG2020
TEAM: An Taylor Expansion-Based Method for Generating Adversarial Examples
Ya-guan Qian, Xi-Ming Zhang, Wassim Swaileh +5
Although Deep Neural Networks(DNNs) have achieved successful applications in many fields, they are vulnerable to adversarial examples.Adversarial training is one of the most effect…
cs.CV2019★ 2 cited
Spot Evasion Attacks: Adversarial Examples for License Plate Recognition Systems with Convolutional Neural Networks
Ya-guan Qian, Dan-feng Ma, Bin Wang +5
Recent studies have shown convolution neural networks (CNNs) for image recognition are vulnerable to evasion attacks with carefully manipulated adversarial examples. Previous work…