28 citations · 51 across the 7 of their papers we have counts for
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cs.LG2022★ 4 cited
SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability
Wei Huang, Xingyu Zhao, Gaojie Jin +1
Interpretability of Deep Learning (DL) is a barrier to trustworthy AI. Despite great efforts made by the Explainable AI (XAI) community, explanations lack robustness -- indistingui…
cs.SE2022
A Hierarchical HAZOP-Like Safety Analysis for Learning-Enabled Systems
Yi Qi, Philippa Ryan Conmy, Wei Huang +2
Hazard and Operability Analysis (HAZOP) is a powerful safety analysis technique with a long history in industrial process control domain. With the increasing use of Machine Learnin…
cs.SE2022★ 1 cited
Hierarchical Distribution-Aware Testing of Deep Learning
Wei Huang, Xingyu Zhao, Alec Banks +2
Deep Learning (DL) is increasingly used in safety-critical applications, raising concerns about its reliability. DL suffers from a well-known problem of lacking robustness, especia…