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PatchCensor: Patch Robustness Certification for Transformers via
  Exhaustive Testing

PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing

19 November 2021
Yuheng Huang
L. Ma
Yuanchun Li
    ViT
    AAML
ArXivPDFHTML

Papers citing "PatchCensor: Patch Robustness Certification for Transformers via Exhaustive Testing"

6 / 6 papers shown
Title
Explicit Tradeoffs between Adversarial and Natural Distributional
  Robustness
Explicit Tradeoffs between Adversarial and Natural Distributional Robustness
Mazda Moayeri
Kiarash Banihashem
S. Feizi
OOD
64
21
0
15 Sep 2022
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
167
256
0
10 Nov 2021
Certified Patch Robustness via Smoothed Vision Transformers
Certified Patch Robustness via Smoothed Vision Transformers
Hadi Salman
Saachi Jain
Eric Wong
Aleksander Mkadry
AAML
55
57
0
11 Oct 2021
Intriguing Properties of Vision Transformers
Intriguing Properties of Vision Transformers
Muzammal Naseer
Kanchana Ranasinghe
Salman Khan
Munawar Hayat
F. Khan
Ming-Hsuan Yang
ViT
246
512
0
21 May 2021
PatchGuard++: Efficient Provable Attack Detection against Adversarial
  Patches
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches
Chong Xiang
Prateek Mittal
AAML
29
41
0
26 Apr 2021
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
159
284
0
02 Dec 2018
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