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Adaptive Randomized Smoothing: Certifying Multi-Step Defences against
  Adversarial Examples

Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples

14 June 2024
Saiyue Lyu
Shadab Shaikh
Frederick Shpilevskiy
Evan Shelhamer
Mathias Lécuyer
    AAML
ArXivPDFHTML

Papers citing "Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples"

4 / 4 papers shown
Title
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
195
410
0
16 May 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce
Sven Gowal
T. Brunner
Evan Shelhamer
Matthias Hein
A. Cemgil
TTA
AAML
170
67
0
28 Feb 2022
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
Duhun Hwang
Eunjung Lee
Wonjong Rhee
AAML
154
14
0
14 Jul 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
229
74,467
0
18 May 2015
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