v1v2 (latest)

Certifying Neural Network Robustness to Random Input Noise from Samples

15 October 2020

Brendon G. Anderson

Somayeh Sojoudi

ArXiv (abs)PDF HTML

Papers citing "Certifying Neural Network Robustness to Random Input Noise from Samples"

4 / 4 papers shown

Title
Certifying Global Robustness for Deep Neural Networks You Li Guannan Zhao Shuyu Kong Yunqi He Hai Zhou AAML 137 1 0 31 May 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 303 4 0 12 Apr 2024
How Robust is your Fair Model? Exploring the Robustness of Diverse Fairness Strategies E. Small Wei Shao Zeliang Zhang Peihan Liu Jeffrey Chan Kacper Sokol Flora D. Salim 289 3 0 11 Jul 2022
Towards Practical Robustness Analysis for DNNs based on PAC-Model LearningInternational Conference on Software Engineering (ICSE), 2021 Renjue Li Pengfei Yang Cheng-Chao Huang Youcheng Sun Bai Xue Lijun Zhang AAML 338 20 0 25 Jan 2021