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1706.06083
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Towards Deep Learning Models Resistant to Adversarial Attacks
19 June 2017
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
Re-assign community
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Github (752★)
Papers citing
"Towards Deep Learning Models Resistant to Adversarial Attacks"
50 / 7,067 papers shown
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Haifeng Qian
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148
1
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10 Sep 2019
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IEEE International Conference on Computer Vision (ICCV), 2019
Aditya Ganeshan
S. VivekB.
R. Venkatesh Babu
AAML
262
131
0
10 Sep 2019
TBT: Targeted Neural Network Attack with Bit Trojan
Computer Vision and Pattern Recognition (CVPR), 2019
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
AAML
316
243
0
10 Sep 2019
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection
Byunggill Joe
Sung Ju Hwang
I. Shin
AAML
83
2
0
10 Sep 2019
BOSH: An Efficient Meta Algorithm for Decision-based Attacks
Zhenxin Xiao
Puyudi Yang
Yuchen Eleanor Jiang
Kai-Wei Chang
Cho-Jui Hsieh
AAML
196
1
0
10 Sep 2019
Improving the Explainability of Neural Sentiment Classifiers via Data Augmentation
Hanjie Chen
Yangfeng Ji
262
11
0
10 Sep 2019
Adversarial Robustness Against the Union of Multiple Perturbation Models
International Conference on Machine Learning (ICML), 2019
Pratyush Maini
Eric Wong
J. Zico Kolter
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AAML
274
163
0
09 Sep 2019
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures
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Gil Fidel
Ron Bitton
A. Shabtai
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GAN
164
131
0
08 Sep 2019
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses
International Conference on Learning Representations (ICLR), 2019
Uyeong Jang
Susmit Jha
S. Jha
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277
14
0
07 Sep 2019
Blackbox Attacks on Reinforcement Learning Agents Using Approximated Temporal Information
Yiren Zhao
Ilia Shumailov
Han Cui
Xitong Gao
Robert D. Mullins
Ross J. Anderson
AAML
211
34
0
06 Sep 2019
Natural Adversarial Sentence Generation with Gradient-based Perturbation
Yu-Lun Hsieh
Minhao Cheng
Da-Cheng Juan
Wei Wei
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Cho-Jui Hsieh
AAML
107
2
0
06 Sep 2019
Are Adversarial Robustness and Common Perturbation Robustness Independent Attributes ?
Alfred Laugros
A. Caplier
Matthieu Ospici
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172
44
0
04 Sep 2019
Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Po-Sen Huang
Robert Stanforth
Johannes Welbl
Chris Dyer
Dani Yogatama
Sven Gowal
Krishnamurthy Dvijotham
Pushmeet Kohli
AAML
220
174
0
03 Sep 2019
High Accuracy and High Fidelity Extraction of Neural Networks
USENIX Security Symposium (USENIX Security), 2019
Matthew Jagielski
Nicholas Carlini
David Berthelot
Alexey Kurakin
Nicolas Papernot
MLAU
MIACV
338
427
0
03 Sep 2019
Certified Robustness to Adversarial Word Substitutions
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Robin Jia
Aditi Raghunathan
Kerem Göksel
Abigail Z. Jacobs
AAML
513
322
0
03 Sep 2019
Metric Learning for Adversarial Robustness
Neural Information Processing Systems (NeurIPS), 2019
Chengzhi Mao
Ziyuan Zhong
Junfeng Yang
Carl Vondrick
Baishakhi Ray
OOD
329
201
0
03 Sep 2019
Defeating Misclassification Attacks Against Transfer Learning
IEEE Transactions on Dependable and Secure Computing (TDSC), 2019
Bang Wu
Shuo Wang
Lizhen Qu
Cong Wang
Carsten Rudolph
Xiangwen Yang
AAML
148
7
0
29 Aug 2019
Deep Neural Network Ensembles against Deception: Ensemble Diversity, Accuracy and Robustness
IEEE International Conference on Mobile Adhoc and Sensor Systems (MASS), 2019
Ling Liu
Wenqi Wei
Ka-Ho Chow
Margaret Loper
Emre Gursoy
Stacey Truex
Yanzhao Wu
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154
68
0
29 Aug 2019
Adversarial Edit Attacks for Tree Data
Benjamin Paassen
AAML
74
0
0
25 Aug 2019
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing
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Dou Goodman
Xingjian Li
Ji Liu
Jun Huan
Tao Wei
AAML
112
8
0
23 Aug 2019
AdvHat: Real-world adversarial attack on ArcFace Face ID system
International Conference on Pattern Recognition (ICPR), 2019
Stepan Alekseevich Komkov
Aleksandr Petiushko
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CVBM
182
335
0
23 Aug 2019
Testing Robustness Against Unforeseen Adversaries
Maximilian Kaufmann
Daniel Kang
Yi Sun
Steven Basart
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Adam Dziedzic
Franziska Boenisch
Tom B. Brown
Jacob Steinhardt
Dan Hendrycks
AAML
362
0
0
21 Aug 2019
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
Ka-Ho Chow
Wenqi Wei
Yanzhao Wu
Ling Liu
AAML
160
17
0
21 Aug 2019
Saccader: Improving Accuracy of Hard Attention Models for Vision
Neural Information Processing Systems (NeurIPS), 2019
Gamaleldin F. Elsayed
Simon Kornblith
Quoc V. Le
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244
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0
20 Aug 2019
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses
International Joint Conference on Artificial Intelligence (IJCAI), 2019
Tianlin Li
Siyue Wang
Pin-Yu Chen
Yanzhi Wang
Brian Kulis
Xue Lin
S. Chin
AAML
162
45
0
20 Aug 2019
Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries
USENIX Security Symposium (USENIX Security), 2019
Fnu Suya
Jianfeng Chi
David Evans
Yuan Tian
AAML
426
94
0
19 Aug 2019
Adversarial Defense by Suppressing High-frequency Components
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Cheolkon Jung
X. Liang
197
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0
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SPOCC: Scalable POssibilistic Classifier Combination -- toward robust aggregation of classifiers
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186
5
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L. Ghaoui
Fangda Gu
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AI4CE
398
199
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17 Aug 2019
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks
International Conference on Learning Representations (ICLR), 2019
Jiadong Lin
Chuanbiao Song
Kun He
Liwei Wang
John E. Hopcroft
AAML
693
710
0
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Adversarial shape perturbations on 3D point clouds
Daniel Liu
Ronald Yu
Hao Su
3DPC
228
12
0
16 Aug 2019
Convergence of Gradient Methods on Bilinear Zero-Sum Games
International Conference on Learning Representations (ICLR), 2019
Guojun Zhang
Yaoliang Yu
250
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0
15 Aug 2019
AdvFaces: Adversarial Face Synthesis
Debayan Deb
Jianbang Zhang
Anil K. Jain
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220
146
0
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Adversarial Neural Pruning with Latent Vulnerability Suppression
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Jinwoo Shin
Sung Ju Hwang
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217
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0
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Defending Against Adversarial Iris Examples Using Wavelet Decomposition
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Ali Dabouei
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Nasser M. Nasrabadi
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171
9
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Universal Adversarial Audio Perturbations
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L. G. Hafemann
Jérôme Rony
Ismail Ben Ayed
P. Cardinal
Alessandro Lameiras Koerich
AAML
330
59
0
08 Aug 2019
Robust Learning with Jacobian Regularization
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Daniel A. Roberts
Sho Yaida
OOD
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177
193
0
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Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations
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Terrance E. Boult
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140
18
0
07 Aug 2019
BlurNet: Defense by Filtering the Feature Maps
Ravi Raju
Mikko H. Lipasti
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181
17
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06 Aug 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks
ACM Multimedia (ACM MM), 2019
Chen Ma
Chenxu Zhao
Hailin Shi
Li Chen
Junhai Yong
Dan Zeng
AAML
113
19
0
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A principled approach for generating adversarial images under non-smooth dissimilarity metrics
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Aram-Alexandre Pooladian
Chris Finlay
Tim Hoheisel
Adam M. Oberman
AAML
172
3
0
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Adversarial Self-Defense for Cycle-Consistent GANs
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Ben Usman
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115
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Automated Detection System for Adversarial Examples with High-Frequency Noises Sieve
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D. D. Thang
Toshihiro Matsui
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92
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0
05 Aug 2019
Exploring the Robustness of NMT Systems to Nonsensical Inputs
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Utpal Garain
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168
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Jinnian Zhang
Varun Jog
Po-Ling Loh
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131
7
0
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Adversarial Test on Learnable Image Encryption
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Maungmaung Aprilpyone
Warit Sirichotedumrong
Hitoshi Kiya
112
9
0
31 Jul 2019
Are Odds Really Odd? Bypassing Statistical Detection of Adversarial Examples
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Sreeram Kannan
Radha Poovendran
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126
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0
28 Jul 2019
Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment
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Di Jin
Zhijing Jin
Qiufeng Wang
Peter Szolovits
SILM
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724
1,255
0
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Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin
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Yaoliang Yu
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125
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0
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Interpretability Beyond Classification Output: Semantic Bottleneck Networks
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222
70
0
25 Jul 2019
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