47 citations · 182 across the 14 of their papers we have counts for
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quant-ph2020★ 41 cited
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing
Maurice Weber, Nana Liu, Bo Li +2
Quantum machine learning models have the potential to offer speedups and better predictive accuracy compared to their classical counterparts. However, these quantum algorithms, lik…
cs.LG2020★ 6 cited
Improving Certified Robustness via Statistical Learning with Logical Reasoning
Zhuolin Yang, Zhikuan Zhao, Boxin Wang +8
Intensive algorithmic efforts have been made to enable the rapid improvements of certificated robustness for complex ML models recently. However, current robustness certification m…
cs.LG2020★ 6 cited
TSS: Transformation-Specific Smoothing for Robustness Certification
Linyi Li, Maurice Weber, Xiaojun Xu +5
As machine learning (ML) systems become pervasive, safeguarding their security is critical. However, recently it has been demonstrated that motivated adversaries are able to mislea…