Data-Dependent Randomized Smoothing

8 December 2020

Papers citing "Data-Dependent Randomized Smoothing"

9 / 9 papers shown

Title
Bridging the Theoretical Gap in Randomized Smoothing Blaise Delattre Paul Caillon Quentin Barthélemy Erwan Fagnou Alexandre Allauzen AAML 58 0 0 03 Apr 2025
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing Ashutosh Nirala Ameya Joshi Chinmay Hegde S Sarkar VLM 36 0 0 15 Nov 2023
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
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
Smooth-Reduce: Leveraging Patches for Improved Certified Robustness Ameya Joshi Minh Pham Minsu Cho Leonid Boytsov Filipe Condessa J. Zico Kolter C. Hegde UQCV AAML 32 2 0 12 May 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