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Wasserstein Adversarial Examples via Projected Sinkhorn Iterations

Wasserstein Adversarial Examples via Projected Sinkhorn Iterations

21 February 2019
Eric Wong
Frank R. Schmidt
J. Zico Kolter
    AAML
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Papers citing "Wasserstein Adversarial Examples via Projected Sinkhorn Iterations"

34 / 134 papers shown
Title
Neural Network Virtual Sensors for Fuel Injection Quantities with
  Provable Performance Specifications
Neural Network Virtual Sensors for Fuel Injection Quantities with Provable Performance Specifications
Eric Wong
Tim Schneider
Joerg Schmitt
Frank R. Schmidt
J. Zico Kolter
AAML
40
8
0
30 Jun 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box
  adversarial attacks
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Francesco Croce
Maksym Andriushchenko
Naman D. Singh
Nicolas Flammarion
Matthias Hein
20
99
0
23 Jun 2020
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Perceptual Adversarial Robustness: Defense Against Unseen Threat Models
Cassidy Laidlaw
Sahil Singla
S. Feizi
AAML
OOD
16
182
0
22 Jun 2020
Equitable and Optimal Transport with Multiple Agents
Equitable and Optimal Transport with Multiple Agents
M. Scetbon
Laurent Meunier
Jamal Atif
Marco Cuturi
OT
14
2
0
12 Jun 2020
Improved Image Wasserstein Attacks and Defenses
Improved Image Wasserstein Attacks and Defenses
J. E. Hu
Adith Swaminathan
Hadi Salman
Greg Yang
AAML
OOD
35
10
0
26 Apr 2020
Certifiable Robustness to Adversarial State Uncertainty in Deep
  Reinforcement Learning
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning
Michael Everett
Bjorn Lutjens
Jonathan P. How
AAML
13
41
0
11 Apr 2020
Luring of transferable adversarial perturbations in the black-box
  paradigm
Luring of transferable adversarial perturbations in the black-box paradigm
Rémi Bernhard
Pierre-Alain Moëllic
J. Dutertre
AAML
31
2
0
10 Apr 2020
Approximate Manifold Defense Against Multiple Adversarial Perturbations
Approximate Manifold Defense Against Multiple Adversarial Perturbations
Jay Nandy
W. Hsu
M. Lee
AAML
12
12
0
05 Apr 2020
SOAR: Second-Order Adversarial Regularization
SOAR: Second-Order Adversarial Regularization
A. Ma
Fartash Faghri
Nicolas Papernot
Amir-massoud Farahmand
AAML
21
4
0
04 Apr 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning
MetaPoison: Practical General-purpose Clean-label Data Poisoning
Yifan Jiang
Jonas Geiping
Liam H. Fowl
Gavin Taylor
Tom Goldstein
19
188
0
01 Apr 2020
Breaking certified defenses: Semantic adversarial examples with spoofed
  robustness certificates
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates
Amin Ghiasi
Ali Shafahi
Tom Goldstein
33
55
0
19 Mar 2020
Certified Defenses for Adversarial Patches
Certified Defenses for Adversarial Patches
Ping Yeh-Chiang
Renkun Ni
Ahmed Abdelkader
Chen Zhu
Christoph Studer
Tom Goldstein
AAML
21
170
0
14 Mar 2020
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Denoised Smoothing: A Provable Defense for Pretrained Classifiers
Hadi Salman
Mingjie Sun
Greg Yang
Ashish Kapoor
J. Zico Kolter
45
23
0
04 Mar 2020
Overfitting in adversarially robust deep learning
Overfitting in adversarially robust deep learning
Leslie Rice
Eric Wong
Zico Kolter
47
787
0
26 Feb 2020
Randomized Smoothing of All Shapes and Sizes
Randomized Smoothing of All Shapes and Sizes
Greg Yang
Tony Duan
J. E. Hu
Hadi Salman
Ilya P. Razenshteyn
Jungshian Li
AAML
26
209
0
19 Feb 2020
Random Smoothing Might be Unable to Certify $\ell_\infty$ Robustness for
  High-Dimensional Images
Random Smoothing Might be Unable to Certify ℓ∞\ell_\inftyℓ∞​ Robustness for High-Dimensional Images
Avrim Blum
Travis Dick
N. Manoj
Hongyang R. Zhang
AAML
31
79
0
10 Feb 2020
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedML
AI4CE
76
6,091
0
10 Dec 2019
Amora: Black-box Adversarial Morphing Attack
Amora: Black-box Adversarial Morphing Attack
Run Wang
Felix Juefei Xu
Qing Guo
Yihao Huang
Xiaofei Xie
Lei Ma
Yang Liu
AAML
12
44
0
09 Dec 2019
Playing it Safe: Adversarial Robustness with an Abstain Option
Playing it Safe: Adversarial Robustness with an Abstain Option
Cassidy Laidlaw
S. Feizi
AAML
31
20
0
25 Nov 2019
Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor
  Attacks in Deep Neural Networks
Poison as a Cure: Detecting & Neutralizing Variable-Sized Backdoor Attacks in Deep Neural Networks
Alvin Chan
Yew-Soon Ong
AAML
17
42
0
19 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with
  Perceptual Color Distance
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
18
142
0
06 Nov 2019
Certified Adversarial Robustness for Deep Reinforcement Learning
Certified Adversarial Robustness for Deep Reinforcement Learning
Björn Lütjens
Michael Everett
Jonathan P. How
AAML
11
91
0
28 Oct 2019
Wasserstein Smoothing: Certified Robustness against Wasserstein
  Adversarial Attacks
Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks
Alexander Levine
S. Feizi
AAML
4
61
0
23 Oct 2019
Structure Matters: Towards Generating Transferable Adversarial Images
Structure Matters: Towards Generating Transferable Adversarial Images
Dan Peng
Zizhan Zheng
Linhao Luo
Xiaofeng Zhang
AAML
8
2
0
22 Oct 2019
Instance adaptive adversarial training: Improved accuracy tradeoffs in
  neural nets
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
134
103
0
17 Oct 2019
AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation
AdvSPADE: Realistic Unrestricted Attacks for Semantic Segmentation
Guangyu Shen
Chengzhi Mao
Junfeng Yang
Baishakhi Ray
GAN
12
12
0
06 Oct 2019
Wasserstein Diffusion Tikhonov Regularization
Wasserstein Diffusion Tikhonov Regularization
A. Lin
Yonatan Dukler
Wuchen Li
Guido Montúfar
21
2
0
15 Sep 2019
Adversarial Lipschitz Regularization
Adversarial Lipschitz Regularization
Dávid Terjék
GAN
11
52
0
12 Jul 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary
  Attack
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack
Francesco Croce
Matthias Hein
AAML
43
474
0
03 Jul 2019
SemanticAdv: Generating Adversarial Examples via Attribute-conditional
  Image Editing
SemanticAdv: Generating Adversarial Examples via Attribute-conditional Image Editing
Haonan Qiu
Chaowei Xiao
Lei Yang
Xinchen Yan
Honglak Lee
Bo-wen Li
AAML
28
169
0
19 Jun 2019
Functional Adversarial Attacks
Functional Adversarial Attacks
Cassidy Laidlaw
S. Feizi
AAML
19
183
0
29 May 2019
High Frequency Component Helps Explain the Generalization of
  Convolutional Neural Networks
High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks
Haohan Wang
Xindi Wu
Pengcheng Yin
Eric Xing
11
512
0
28 May 2019
Detecting Adversarial Examples via Neural Fingerprinting
Detecting Adversarial Examples via Neural Fingerprinting
Sumanth Dathathri
Stephan Zheng
Tianwei Yin
Richard M. Murray
Yisong Yue
MLAU
AAML
38
0
0
11 Mar 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,847
0
08 Jul 2016
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