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1907.02610
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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
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Papers citing
"Adversarial Robustness through Local Linearization"
26 / 126 papers shown
Title
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
Puneet Mangla
Vedant Singh
Shreyas Jayant Havaldar
V. Balasubramanian
AAML
21
3
0
14 Mar 2020
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
Francesco Croce
Matthias Hein
AAML
302
1,866
0
03 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
129
67
0
02 Mar 2020
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
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
Runtian Zhai
Chen Dan
Di He
Huan Zhang
Boqing Gong
Pradeep Ravikumar
Cho-Jui Hsieh
Liwei Wang
OOD
AAML
111
178
0
08 Jan 2020
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
Xin Wang
30
0
0
02 Jan 2020
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
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
Alvin Chan
Yi Tay
Yew-Soon Ong
AAML
OOD
79
52
0
11 Dec 2019
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
Sven Gowal
Chongli Qin
Po-Sen Huang
taylan. cemgil
Krishnamurthy Dvijotham
Timothy A. Mann
Pushmeet Kohli
AAML
OOD
76
57
0
06 Dec 2019
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
Cassidy Laidlaw
Soheil Feizi
AAML
75
20
0
25 Nov 2019
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
Haoming Jiang
Pengcheng He
Weizhu Chen
Xiaodong Liu
Jianfeng Gao
T. Zhao
139
563
0
08 Nov 2019
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
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
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
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
Cihang Xie
Alan Yuille
AAML
75
68
0
10 Jun 2019
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
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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