ANCER: Anisotropic Certification via Sample-wise Volume Maximization

9 July 2021

Papers citing "ANCER: Anisotropic Certification via Sample-wise Volume Maximization"

8 / 8 papers shown

Title
Promoting Robustness of Randomized Smoothing: Two Cost-Effective Approaches Linbo Liu T. Hoang Lam M. Nguyen Tsui-Wei Weng AAML 29 0 0 11 Oct 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal Huaijin Hao Rene Vidal 26 8 0 28 Sep 2023
Invariance-Aware Randomized Smoothing Certificates Jan Schuchardt Stephan Günnemann AAML 28 5 0 25 Nov 2022
Riemannian data-dependent randomized smoothing for neural networks certification Pol Labarbarie H. Hajri M. Arnaudon 29 4 0 21 Jun 2022
Double Sampling Randomized Smoothing Linyi Li Jiawei Zhang Tao Xie Bo-wen Li AAML 17 23 0 16 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 23 7 0 06 Jun 2022
3DeformRS: Certifying Spatial Deformations on Point Clouds S. GabrielPérez Juan C. Pérez Motasem Alfarra Silvio Giancola Guohao Li 3DPC 32 12 0 12 Apr 2022
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 180 932 0 21 Oct 2016