On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error

4 January 2022

Papers citing "On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error"

3 / 3 papers shown

Title
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions Giulia Marchiori Pietrosanti Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 89 0 0 02 Apr 2025
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks Akhilan Boopathy Tsui-Wei Weng Pin-Yu Chen Sijia Liu Luca Daniel AAML 108 138 0 29 Nov 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,842 0 03 Feb 2017