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Adversarial Robustness through Local Linearization
v1v2 (latest)

Adversarial Robustness through Local Linearization

4 July 2019
Chongli Qin
James Martens
Sven Gowal
Dilip Krishnan
Krishnamurthy Dvijotham
Alhussein Fawzi
Soham De
Robert Stanforth
Pushmeet Kohli
    AAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Robustness through Local Linearization"

26 / 126 papers shown
Title
Diversity can be Transferred: Output Diversification for White- and
  Black-box Attacks
Diversity can be Transferred: Output Diversification for White- and Black-box Attacks
Y. Tashiro
Yang Song
Stefano Ermon
AAML
81
13
0
15 Mar 2020
On the benefits of defining vicinal distributions in latent space
On the benefits of defining vicinal distributions in latent space
Puneet Mangla
Vedant Singh
Shreyas Jayant Havaldar
V. Balasubramanian
AAML
21
3
0
14 Mar 2020
A Closer Look at Accuracy vs. Robustness
A Closer Look at Accuracy vs. Robustness
Yao-Yuan Yang
Cyrus Rashtchian
Hongyang R. Zhang
Ruslan Salakhutdinov
Kamalika Chaudhuri
OOD
148
26
0
05 Mar 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
302
1,866
0
03 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve
  Adversarial Robustness
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OODAAML
129
67
0
02 Mar 2020
Adversarial Distributional Training for Robust Deep Learning
Adversarial Distributional Training for Robust Deep Learning
Yinpeng Dong
Zhijie Deng
Tianyu Pang
Hang Su
Jun Zhu
OOD
96
123
0
14 Feb 2020
Tiny noise, big mistakes: Adversarial perturbations induce errors in
  Brain-Computer Interface spellers
Tiny noise, big mistakes: Adversarial perturbations induce errors in Brain-Computer Interface spellers
Xiao Zhang
Dongrui Wu
L. Ding
Hanbin Luo
Chin-Teng Lin
T. Jung
Ricardo Chavarriaga
AAML
91
60
0
30 Jan 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified
  Radius
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius
Runtian Zhai
Chen Dan
Di He
Huan Zhang
Boqing Gong
Pradeep Ravikumar
Cho-Jui Hsieh
Liwei Wang
OODAAML
111
178
0
08 Jan 2020
Empirical Studies on the Properties of Linear Regions in Deep Neural
  Networks
Empirical Studies on the Properties of Linear Regions in Deep Neural Networks
Xiao Zhang
Dongrui Wu
58
38
0
04 Jan 2020
Reject Illegal Inputs with Generative Classifier Derived from Any
  Discriminative Classifier
Reject Illegal Inputs with Generative Classifier Derived from Any Discriminative Classifier
Xin Wang
30
0
0
02 Jan 2020
Jacobian Adversarially Regularized Networks for Robustness
Jacobian Adversarially Regularized Networks for Robustness
Alvin Chan
Yi Tay
Yew-Soon Ong
Jie Fu
AAML
92
76
0
21 Dec 2019
Analysing Deep Reinforcement Learning Agents Trained with Domain
  Randomisation
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Tianhong Dai
Kai Arulkumaran
Tamara Gerbert
Samyakh Tukra
Feryal M. P. Behbahani
Anil Anthony Bharath
87
28
0
18 Dec 2019
What it Thinks is Important is Important: Robustness Transfers through
  Input Gradients
What it Thinks is Important is Important: Robustness Transfers through Input Gradients
Alvin Chan
Yi Tay
Yew-Soon Ong
AAMLOOD
79
52
0
11 Dec 2019
A quantum active learning algorithm for sampling against adversarial
  attacks
A quantum active learning algorithm for sampling against adversarial attacks
Pablo Antonio Moreno Casares
M. Martin-Delgado
AAML
67
10
0
06 Dec 2019
Achieving Robustness in the Wild via Adversarial Mixing with
  Disentangled Representations
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Sven Gowal
Chongli Qin
Po-Sen Huang
taylan. cemgil
Krishnamurthy Dvijotham
Timothy A. Mann
Pushmeet Kohli
AAMLOOD
76
57
0
06 Dec 2019
Towards Robust Image Classification Using Sequential Attention Models
Towards Robust Image Classification Using Sequential Attention Models
Daniel Zoran
Mike Chrzanowski
Po-Sen Huang
Sven Gowal
Alex Mott
Pushmeet Kohli
AAML
66
61
0
04 Dec 2019
Playing it Safe: Adversarial Robustness with an Abstain Option
Playing it Safe: Adversarial Robustness with an Abstain Option
Cassidy Laidlaw
Soheil Feizi
AAML
75
20
0
25 Nov 2019
Time-aware Gradient Attack on Dynamic Network Link Prediction
Time-aware Gradient Attack on Dynamic Network Link Prediction
Jinyin Chen
Jian Zhang
Z. Chen
Min Du
Qi Xuan
AAML
69
35
0
24 Nov 2019
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language
  Models through Principled Regularized Optimization
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization
Haoming Jiang
Pengcheng He
Weizhu Chen
Xiaodong Liu
Jianfeng Gao
T. Zhao
139
563
0
08 Nov 2019
Adversarial Defense via Local Flatness Regularization
Adversarial Defense via Local Flatness Regularization
Jia Xu
Yiming Li
Yong Jiang
Shutao Xia
AAML
103
18
0
27 Oct 2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing
An Alternative Surrogate Loss for PGD-based Adversarial Testing
Sven Gowal
J. Uesato
Chongli Qin
Po-Sen Huang
Timothy A. Mann
Pushmeet Kohli
AAML
107
90
0
21 Oct 2019
Deep k-NN Defense against Clean-label Data Poisoning Attacks
Deep k-NN Defense against Clean-label Data Poisoning Attacks
Neehar Peri
Neal Gupta
Wenjie Huang
Liam H. Fowl
Chen Zhu
Soheil Feizi
Tom Goldstein
John P. Dickerson
AAML
73
6
0
29 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
296
443
0
25 Sep 2019
Intriguing properties of adversarial training at scale
Intriguing properties of adversarial training at scale
Cihang Xie
Alan Yuille
AAML
75
68
0
10 Jun 2019
Regularizing Black-box Models for Improved Interpretability
Regularizing Black-box Models for Improved Interpretability
Gregory Plumb
Maruan Al-Shedivat
Ángel Alexander Cabrera
Adam Perer
Eric Xing
Ameet Talwalkar
AAML
125
80
0
18 Feb 2019
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
Min Xian
Yingtao Zhang
H. Cheng
Fei Xu
Kuan Huang
Boyu Zhang
Jianrui Ding
C. Ning
Ying Wang
69
62
0
09 Jan 2018
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