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The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective

The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective

27 May 2024
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
    AAML
ArXivPDFHTML

Papers citing "The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective"

6 / 6 papers shown
Title
Understanding Adversarially Robust Generalization via Weight-Curvature
  Index
Understanding Adversarially Robust Generalization via Weight-Curvature Index
Yuelin Xu
Xiao Zhang
AAML
20
0
0
10 Oct 2024
Mind the box: $l_1$-APGD for sparse adversarial attacks on image
  classifiers
Mind the box: l1l_1l1​-APGD for sparse adversarial attacks on image classifiers
Francesco Croce
Matthias Hein
AAML
40
54
0
01 Mar 2021
A New Defense Against Adversarial Images: Turning a Weakness into a
  Strength
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Tao Yu
Shengyuan Hu
Chuan Guo
Wei-Lun Chao
Kilian Q. Weinberger
AAML
47
101
0
16 Oct 2019
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,878
0
15 Sep 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
244
35,884
0
25 Aug 2016
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