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1905.02175
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Adversarial Examples Are Not Bugs, They Are Features
Neural Information Processing Systems (NeurIPS), 2019
6 May 2019
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
Re-assign community
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Papers citing
"Adversarial Examples Are Not Bugs, They Are Features"
50 / 1,093 papers shown
The Conditional Entropy Bottleneck
Entropy (Entropy), 2020
Ian S. Fischer
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241
135
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Self-explaining AI as an alternative to interpretable AI
Artificial General Intelligence (AGI), 2020
Daniel C. Elton
500
64
0
12 Feb 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
International Conference on Machine Learning (ICML), 2020
Lin Chen
Yifei Min
Mingrui Zhang
Amin Karbasi
OOD
296
66
0
11 Feb 2020
Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations
International Conference on Machine Learning (ICML), 2020
Florian Tramèr
Jens Behrmann
Nicholas Carlini
Nicolas Papernot
J. Jacobsen
AAML
SILM
170
99
0
11 Feb 2020
Adversarial Data Encryption
Yingdong Hu
Liang Zhang
W. Shan
Xiaoxiao Qin
Jinghuai Qi
Zhenzhou Wu
Yang Yuan
FedML
MedIm
120
0
0
10 Feb 2020
Input Validation for Neural Networks via Runtime Local Robustness Verification
Jiangchao Liu
Liqian Chen
A. Miné
Ji Wang
AAML
212
11
0
09 Feb 2020
Analyzing the Dependency of ConvNets on Spatial Information
German Conference on Pattern Recognition (DAGM), 2020
Yue Fan
Yongqin Xian
M. Losch
Bernt Schiele
81
6
0
05 Feb 2020
HRFA: High-Resolution Feature-based Attack
Jia Cai
Sizhe Chen
Peidong Zhang
Chengjin Sun
Xiaolin Huang
AAML
171
0
0
21 Jan 2020
To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers
Bijeeta Pal
Shruti Tople
AAML
225
9
0
08 Jan 2020
Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis
Roozbeh Yousefzadeh
D. O’Leary
AAML
FAtt
125
5
0
03 Jan 2020
ATHENA: A Framework based on Diverse Weak Defenses for Building Adversarial Defense
Meng
Jianhai Su
Jason M. O'Kane
Pooyan Jamshidi
AAML
134
7
0
02 Jan 2020
Efficient Adversarial Training with Transferable Adversarial Examples
Computer Vision and Pattern Recognition (CVPR), 2019
Haizhong Zheng
Ziqi Zhang
Juncheng Gu
Honglak Lee
A. Prakash
AAML
209
128
0
27 Dec 2019
An Empirical Study on the Relation between Network Interpretability and Adversarial Robustness
Adam Noack
Isaac Ahern
Dejing Dou
Boyang Albert Li
OOD
AAML
449
10
0
07 Dec 2019
Principal Component Properties of Adversarial Samples
Communications in Computer and Information Science (CCIS), 2019
Malhar Jere
Sandro Herbig
Christine H. Lind
F. Koushanfar
3DPC
AAML
112
8
0
07 Dec 2019
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations
Computer Vision and Pattern Recognition (CVPR), 2019
Sven Gowal
Chongli Qin
Po-Sen Huang
taylan. cemgil
Krishnamurthy Dvijotham
Timothy A. Mann
Pushmeet Kohli
AAML
OOD
240
58
0
06 Dec 2019
Adversarial Risk via Optimal Transport and Optimal Couplings
IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2019
Muni Sreenivas Pydi
Varun Jog
280
60
0
05 Dec 2019
Label-Consistent Backdoor Attacks
Alexander Turner
Dimitris Tsipras
Aleksander Madry
AAML
332
463
0
05 Dec 2019
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds
European Conference on Computer Vision (ECCV), 2019
Abdullah Hamdi
Sara Rojas
Ali K. Thabet
Guohao Li
AAML
3DPC
360
161
0
01 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random search
European Conference on Computer Vision (ECCV), 2019
Maksym Andriushchenko
Francesco Croce
Nicolas Flammarion
Matthias Hein
AAML
770
1,171
0
29 Nov 2019
Light-weight Calibrator: a Separable Component for Unsupervised Domain Adaptation
Computer Vision and Pattern Recognition (CVPR), 2019
Shaokai Ye
Kailu Wu
Mu Zhou
Yunfei Yang
S. Tan
Kaidi Xu
Jiebo Song
Chenglong Bao
Kaisheng Ma
130
23
0
28 Nov 2019
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators
European Conference on Artificial Intelligence (ECAI), 2019
Julien Girard-Satabin
Guillaume Charpiat
Zakaria Chihani
Marc Schoenauer
OOD
AAML
108
3
0
25 Nov 2019
Universal Adversarial Robustness of Texture and Shape-Biased Models
International Conference on Information Photonics (ICIP), 2019
Kenneth T. Co
Luis Muñoz-González
Leslie Kanthan
Ben Glocker
Emil C. Lupu
343
18
0
23 Nov 2019
Universal adversarial examples in speech command classification
Jon Vadillo
Roberto Santana
AAML
209
30
0
22 Nov 2019
Controversial stimuli: pitting neural networks against each other as models of human recognition
Tal Golan
Prashant C. Raju
N. Kriegeskorte
AAML
225
39
0
21 Nov 2019
The Origins and Prevalence of Texture Bias in Convolutional Neural Networks
Katherine L. Hermann
Ting Chen
Simon Kornblith
CVBM
369
21
0
20 Nov 2019
Analysis of Deep Networks for Monocular Depth Estimation Through Adversarial Attacks with Proposal of a Defense Method
Junjie Hu
Takayuki Okatani
AAML
MDE
125
18
0
20 Nov 2019
Shared Visual Abstractions
Tom White
92
5
0
19 Nov 2019
Defective Convolutional Networks
Tiange Luo
Tianle Cai
Mengxiao Zhang
Siyu Chen
Di He
Liwei Wang
AAML
254
3
0
19 Nov 2019
Smoothed Inference for Adversarially-Trained Models
Yaniv Nemcovsky
Evgenii Zheltonozhskii
Chaim Baskin
Brian Chmiel
Maxim Fishman
A. Bronstein
A. Mendelson
AAML
FedML
153
2
0
17 Nov 2019
Self-supervised Adversarial Training
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Kejiang Chen
Hang Zhou
YueFeng Chen
Xiaofeng Mao
Yuhong Li
Yuan He
Hui Xue
Weiming Zhang
Nenghai Yu
GAN
SSL
220
25
0
15 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
233
114
0
13 Nov 2019
Learning From Brains How to Regularize Machines
Neural Information Processing Systems (NeurIPS), 2019
Zhe Li
Wieland Brendel
Edgar Y. Walker
Erick Cobos
Taliah Muhammad
Jacob Reimer
Matthias Bethge
Fabian H. Sinz
Xaq Pitkow
A. Tolias
OOD
AAML
210
67
0
11 Nov 2019
Visual Privacy Protection via Mapping Distortion
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Yiming Li
Peidong Liu
Yong Jiang
Shutao Xia
385
12
0
05 Nov 2019
Progressive Compressed Records: Taking a Byte out of Deep Learning Data
Proceedings of the VLDB Endowment (PVLDB), 2019
Michael Kuchnik
George Amvrosiadis
Virginia Smith
483
10
0
01 Nov 2019
Thieves on Sesame Street! Model Extraction of BERT-based APIs
International Conference on Learning Representations (ICLR), 2019
Kalpesh Krishna
Gaurav Singh Tomar
Ankur P. Parikh
Nicolas Papernot
Mohit Iyyer
MIACV
MLAU
568
231
0
27 Oct 2019
Adversarial Defense via Local Flatness Regularization
International Conference on Information Photonics (ICIP), 2019
Jia Xu
Yiming Li
Yong Jiang
Shutao Xia
AAML
251
21
0
27 Oct 2019
A Useful Taxonomy for Adversarial Robustness of Neural Networks
Trends in Computer Science and Information Technology (TCSIT), 2019
L. Smith
AAML
132
6
0
23 Oct 2019
Extracting robust and accurate features via a robust information bottleneck
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2019
Ankit Pensia
Varun Jog
Po-Ling Loh
AAML
145
23
0
15 Oct 2019
Noise as a Resource for Learning in Knowledge Distillation
Elahe Arani
F. Sarfraz
Bahram Zonooz
180
6
0
11 Oct 2019
Learning De-biased Representations with Biased Representations
International Conference on Machine Learning (ICML), 2019
Hyojin Bahng
Sanghyuk Chun
Sangdoo Yun
Jaegul Choo
Seong Joon Oh
OOD
804
311
0
07 Oct 2019
Operational Calibration: Debugging Confidence Errors for DNNs in the Field
Zenan Li
Xiaoxing Ma
Chang Xu
Jingwei Xu
Chun Cao
Jian Lu
197
30
0
06 Oct 2019
If MaxEnt RL is the Answer, What is the Question?
Benjamin Eysenbach
Sergey Levine
156
65
0
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An empirical study of pretrained representations for few-shot classification
Tiago Ramalho
Laura Vana-Gur
P. Filzmoser
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142
6
0
03 Oct 2019
Predicting with High Correlation Features
Devansh Arpit
Caiming Xiong
R. Socher
OODD
OOD
167
7
0
01 Oct 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks
International Conference on Cyberworlds (ICC), 2019
Rémi Bernhard
Pierre-Alain Moëllic
J. Dutertre
AAML
MQ
233
18
0
27 Sep 2019
Lower Bounds on Adversarial Robustness from Optimal Transport
Neural Information Processing Systems (NeurIPS), 2019
A. Bhagoji
Daniel Cullina
Prateek Mittal
OOD
OT
AAML
196
97
0
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Robust Local Features for Improving the Generalization of Adversarial Training
International Conference on Learning Representations (ICLR), 2019
Chuanbiao Song
Kun He
Jiadong Lin
Liwei Wang
John E. Hopcroft
OOD
AAML
290
76
0
23 Sep 2019
Training Robust Deep Neural Networks via Adversarial Noise Propagation
IEEE Transactions on Image Processing (TIP), 2019
Aishan Liu
Xianglong Liu
Chongzhi Zhang
Hang Yu
Qiang Liu
Dacheng Tao
AAML
120
135
0
19 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review
International Journal of Automation and Computing (IJAC), 2019
Han Xu
Yao Ma
Haochen Liu
Debayan Deb
Hui Liu
Shucheng Zhou
Anil K. Jain
AAML
331
729
0
17 Sep 2019
HAD-GAN: A Human-perception Auxiliary Defense GAN to Defend Adversarial Examples
Wanting Yu
Hongyi Yu
Lingyun Jiang
Mengli Zhang
Kai Qiao
GAN
AAML
301
0
0
17 Sep 2019
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