5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.LG2019
Detecting Deep Neural Network Defects with Data Flow Analysis
Jiazhen Gu, Huanlin Xu, Yangfan Zhou +3
Deep neural networks (DNNs) are shown to be promising solutions in many challenging artificial intelligence tasks. However, it is very hard to figure out whether the low precision…
cs.LG2019★ 5 cited
Data Sanity Check for Deep Learning Systems via Learnt Assertions
Haochuan Lu, Huanlin Xu, Nana Liu +2
Reliability is a critical consideration to DL-based systems. But the statistical nature of DL makes it quite vulnerable to invalid inputs, i.e., those cases that are not considered…