Detecting Operational Adversarial Examples for Reliable Deep Learning

13 April 2021

Papers citing "Detecting Operational Adversarial Examples for Reliable Deep Learning"

4 / 4 papers shown

Title
A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation Xiaowei Huang Wenjie Ruan Wei Huang Gao Jin Yizhen Dong ... Sihao Wu Peipei Xu Dengyu Wu André Freitas Mustafa A. Mustafa ALM 45 82 0 19 May 2023
Hierarchical Distribution-Aware Testing of Deep Learning Wei Huang Xingyu Zhao Alec Banks V. Cox Xiaowei Huang OOD AAML 36 10 0 17 May 2022
Assessing the Reliability of Deep Learning Classifiers Through Robustness Evaluation and Operational Profiles Xingyu Zhao Wei Huang Alec Banks V. Cox David Flynn S. Schewe Xiaowei Huang AAML UQCV 28 21 0 02 Jun 2021
A Safety Framework for Critical Systems Utilising Deep Neural Networks Xingyu Zhao Alec Banks James Sharp Valentin Robu David Flynn Michael Fisher Xiaowei Huang AAML 50 48 0 07 Mar 2020