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1905.01726
Cited By
Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples
5 May 2019
Vikash Sehwag
A. Bhagoji
Liwei Song
Chawin Sitawarin
Daniel Cullina
M. Chiang
Prateek Mittal
OODD
Re-assign community
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Papers citing
"Better the Devil you Know: An Analysis of Evasion Attacks using Out-of-Distribution Adversarial Examples"
11 / 11 papers shown
Title
Deciphering the Definition of Adversarial Robustness for post-hoc OOD Detectors
Peter Lorenz
Mario Fernandez
Jens Müller
Ullrich Kothe
AAML
78
1
0
21 Jun 2024
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Yunzhen Feng
Tim G. J. Rudner
Nikolaos Tsilivis
Julia Kempe
AAML
BDL
43
1
0
27 Apr 2024
Provably Robust Detection of Out-of-distribution Data (almost) for free
Alexander Meinke
Julian Bitterwolf
Matthias Hein
OODD
25
22
0
08 Jun 2021
Learning Energy-Based Models With Adversarial Training
Xuwang Yin
Shiying Li
Gustavo K. Rohde
AAML
DiffM
33
9
0
11 Dec 2020
Adversarial Robustness on In- and Out-Distribution Improves Explainability
Maximilian Augustin
Alexander Meinke
Matthias Hein
OOD
75
98
0
20 Mar 2020
Towards neural networks that provably know when they don't know
Alexander Meinke
Matthias Hein
OODD
22
139
0
26 Sep 2019
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
150
424
0
16 Apr 2018
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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