Hierarchical Distribution-Aware Testing of Deep Learning

Hierarchical Distribution-Aware Testing of Deep Learning

17 May 2022

Papers citing "Hierarchical Distribution-Aware Testing of Deep Learning"

9 / 9 papers shown

Title
Towards Assessing Deep Learning Test Input Generators Seif Mzoughi Ahmed Hajyahmed Mohamed Elshafei Foutse Khomh anb Diego Elias Costa D. Costa AAML 35 0 0 03 Apr 2025
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models Kaikang Zhao Xi Chen Wei Huang Liuxin Ding Xianglong Kong Fan Zhang AAML 28 1 0 25 Mar 2024
What, Indeed, is an Achievable Provable Guarantee for Learning-Enabled Safety Critical Systems Saddek Bensalem Chih-Hong Cheng Wei Huang Xiaowei Huang Changshun Wu Xingyu Zhao AAML 19 6 0 20 Jul 2023
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 27 81 0 19 May 2023
Distribution-aware Fairness Test Generation Sai Sathiesh Rajan E. Soremekun Yves Le Traon Sudipta Chattopadhyay 16 0 0 08 May 2023
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 192 344 0 15 Dec 2021
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 32 52 0 26 Feb 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 47 0 07 Mar 2020
Safety Verification of Deep Neural Networks Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 178 929 0 21 Oct 2016