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2406.10427
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Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples
14 June 2024
Saiyue Lyu
Shadab Shaikh
Frederick Shpilevskiy
Evan Shelhamer
Mathias Lécuyer
AAML
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Papers citing
"Adaptive Randomized Smoothing: Certifying Multi-Step Defences against Adversarial Examples"
18 / 18 papers shown
Title
UniCR: Universally Approximated Certified Robustness via Randomized Smoothing
Hanbin Hong
Binghui Wang
Yuan Hong
AAML
76
11
0
05 Jul 2022
Double Sampling Randomized Smoothing
Linyi Li
Jiawei Zhang
Tao Xie
Yue Liu
AAML
77
25
0
16 Jun 2022
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
269
450
0
16 May 2022
Evaluating the Adversarial Robustness of Adaptive Test-time Defenses
Francesco Croce
Sven Gowal
T. Brunner
Evan Shelhamer
Matthias Hein
A. Cemgil
TTA
AAML
231
70
0
28 Feb 2022
AID-Purifier: A Light Auxiliary Network for Boosting Adversarial Defense
Duhun Hwang
Eunjung Lee
Wonjong Rhee
AAML
208
16
0
14 Jul 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks
Yulong Cao*
Ningfei Wang*
Chaowei Xiao
Dawei Yang
Jin Fang
Ruigang Yang
Qi Alfred Chen
Mingyan D. Liu
Yue Liu
AAML
98
225
0
17 Jun 2021
Adversarial purification with Score-based generative models
Jongmin Yoon
Sung Ju Hwang
Juho Lee
DiffM
90
158
0
11 Jun 2021
Numerical Composition of Differential Privacy
Sivakanth Gopi
Y. Lee
Lukas Wutschitz
77
183
0
05 Jun 2021
Combating Adversaries with Anti-Adversaries
Motasem Alfarra
Juan C. Pérez
Ali K. Thabet
Adel Bibi
Philip Torr
Guohao Li
AAML
83
27
0
26 Mar 2021
Adversarial Attacks are Reversible with Natural Supervision
Chengzhi Mao
Mia Chiquer
Hao Wang
Junfeng Yang
Carl Vondrick
BDL
AAML
86
56
0
26 Mar 2021
Data-Dependent Randomized Smoothing
Motasem Alfarra
Adel Bibi
Philip Torr
Guohao Li
UQCV
77
35
0
08 Dec 2020
Bridging Composite and Real: Towards End-to-end Deep Image Matting
Jizhizi Li
Jing Zhang
Stephen J. Maybank
Dacheng Tao
77
118
0
30 Oct 2020
On Adaptive Attacks to Adversarial Example Defenses
Florian Tramèr
Nicholas Carlini
Wieland Brendel
Aleksander Madry
AAML
285
839
0
19 Feb 2020
Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers
Hadi Salman
Greg Yang
Jungshian Li
Pengchuan Zhang
Huan Zhang
Ilya P. Razenshteyn
Sébastien Bubeck
AAML
90
552
0
09 Jun 2019
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
169
2,052
0
08 Feb 2019
Adversarial Attacks and Defences: A Survey
Anirban Chakraborty
Manaar Alam
Vishal Dey
Anupam Chattopadhyay
Debdeep Mukhopadhyay
AAML
OOD
89
683
0
28 Sep 2018
Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lécuyer
Vaggelis Atlidakis
Roxana Geambasu
Daniel J. Hsu
Suman Jana
SILM
AAML
96
939
0
09 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Anish Athalye
Nicholas Carlini
D. Wagner
AAML
243
3,194
0
01 Feb 2018
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