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GSmooth: Certified Robustness against Semantic Transformations via
  Generalized Randomized Smoothing
v1v2 (latest)

GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing

9 June 2022
Zhongkai Hao
Chengyang Ying
Yinpeng Dong
Hang Su
Jun Zhu
Jian Song
    AAML
ArXiv (abs)PDFHTML

Papers citing "GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing"

16 / 16 papers shown
Title
Toward Certified Robustness Against Real-World Distribution Shifts
Toward Certified Robustness Against Real-World Distribution Shifts
Haoze Wu
Teruhiro Tagomori
Alexander Robey
Fengjun Yang
Nikolai Matni
George Pappas
Hamed Hassani
C. Păsăreanu
Clark W. Barrett
AAMLOOD
80
18
0
08 Jun 2022
Certified Defense to Image Transformations via Randomized Smoothing
Certified Defense to Image Transformations via Randomized Smoothing
Marc Fischer
Maximilian Baader
Martin Vechev
AAML
67
67
0
27 Feb 2020
Adversarial Examples Improve Image Recognition
Adversarial Examples Improve Image Recognition
Cihang Xie
Mingxing Tan
Boqing Gong
Jiang Wang
Alan Yuille
Quoc V. Le
AAML
129
566
0
21 Nov 2019
Towards Stable and Efficient Training of Verifiably Robust Neural
  Networks
Towards Stable and Efficient Training of Verifiably Robust Neural Networks
Huan Zhang
Hongge Chen
Chaowei Xiao
Sven Gowal
Robert Stanforth
Yue Liu
Duane S. Boning
Cho-Jui Hsieh
AAML
82
350
0
14 Jun 2019
ResUNet-a: a deep learning framework for semantic segmentation of
  remotely sensed data
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data
F. Diakogiannis
F. Waldner
P. Caccetta
Chen Wu
SSeg
128
1,331
0
01 Apr 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Eric Wong
Frank R. Schmidt
J. Zico Kolter
AAML
78
211
0
21 Feb 2019
Certified Adversarial Robustness via Randomized Smoothing
Certified Adversarial Robustness via Randomized Smoothing
Jeremy M. Cohen
Elan Rosenfeld
J. Zico Kolter
AAML
166
2,051
0
08 Feb 2019
Semantic Adversarial Examples
Semantic Adversarial Examples
Hossein Hosseini
Radha Poovendran
GANAAML
95
199
0
16 Mar 2018
Certified Robustness to Adversarial Examples with Differential Privacy
Certified Robustness to Adversarial Examples with Differential Privacy
Mathias Lécuyer
Vaggelis Atlidakis
Roxana Geambasu
Daniel J. Hsu
Suman Jana
SILMAAML
96
939
0
09 Feb 2018
Obfuscated Gradients Give a False Sense of Security: Circumventing
  Defenses to Adversarial Examples
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
Evasion Attacks against Machine Learning at Test Time
Evasion Attacks against Machine Learning at Test Time
Battista Biggio
Igino Corona
Davide Maiorca
B. Nelson
Nedim Srndic
Pavel Laskov
Giorgio Giacinto
Fabio Roli
AAML
163
2,160
0
21 Aug 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
182
5,921
0
10 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILMOOD
317
12,138
0
19 Jun 2017
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,196
0
16 Mar 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
282
19,121
0
20 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
284
14,963
1
21 Dec 2013
1