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Explaining and Harnessing Adversarial Examples
v1v2v3 (latest)

Explaining and Harnessing Adversarial Examples

20 December 2014
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
    AAMLGAN
ArXiv (abs)PDFHTML

Papers citing "Explaining and Harnessing Adversarial Examples"

50 / 8,351 papers shown
Title
Resisting Adversarial Attacks using Gaussian Mixture Variational
  Autoencoders
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders
Partha Ghosh
Arpan Losalka
Michael J. Black
AAML
74
78
0
31 May 2018
Explaining Explanations: An Overview of Interpretability of Machine
  Learning
Explaining Explanations: An Overview of Interpretability of Machine Learning
Leilani H. Gilpin
David Bau
Ben Z. Yuan
Ayesha Bajwa
Michael A. Specter
Lalana Kagal
XAI
129
1,873
0
31 May 2018
Scaling provable adversarial defenses
Scaling provable adversarial defenses
Eric Wong
Frank R. Schmidt
J. H. Metzen
J. Zico Kolter
AAML
105
450
0
31 May 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals
Sequential Attacks on Agents for Long-Term Adversarial Goals
E. Tretschk
Seong Joon Oh
Mario Fritz
OnRL
402
48
1
31 May 2018
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for
  Discrete Data
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
Puyudi Yang
Jianbo Chen
Cho-Jui Hsieh
Jane-ling Wang
Michael I. Jordan
AAMLSILM
108
116
0
31 May 2018
Adversarial Attacks on Face Detectors using Neural Net based Constrained
  Optimization
Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization
A. Bose
P. Aarabi
AAML
70
89
0
31 May 2018
Robustness May Be at Odds with Accuracy
Robustness May Be at Odds with Accuracy
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Alexander Turner
Aleksander Madry
AAML
118
1,786
0
30 May 2018
Generalizing to Unseen Domains via Adversarial Data Augmentation
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
OOD
126
789
0
30 May 2018
Robustifying Models Against Adversarial Attacks by Langevin Dynamics
Robustifying Models Against Adversarial Attacks by Langevin Dynamics
Vignesh Srinivasan
Arturo Marbán
K. Müller
Wojciech Samek
Shinichi Nakajima
AAML
78
9
0
30 May 2018
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense
  for Audio
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
AAML
46
39
0
30 May 2018
Stochastic Zeroth-order Optimization via Variance Reduction method
Stochastic Zeroth-order Optimization via Variance Reduction method
Liu Liu
Minhao Cheng
Cho-Jui Hsieh
Dacheng Tao
126
20
0
30 May 2018
To Trust Or Not To Trust A Classifier
To Trust Or Not To Trust A Classifier
Heinrich Jiang
Been Kim
Melody Y. Guan
Maya R. Gupta
UQCV
184
473
0
30 May 2018
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for
  Attacking Black-box Neural Networks
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks
Chun-Chen Tu
Pai-Shun Ting
Pin-Yu Chen
Sijia Liu
Huan Zhang
Jinfeng Yi
Cho-Jui Hsieh
Shin-Ming Cheng
MLAUAAML
94
399
0
30 May 2018
Adversarial Noise Attacks of Deep Learning Architectures -- Stability
  Analysis via Sparse Modeled Signals
Adversarial Noise Attacks of Deep Learning Architectures -- Stability Analysis via Sparse Modeled Signals
Yaniv Romano
Aviad Aberdam
Jeremias Sulam
Michael Elad
AAML
73
22
0
29 May 2018
Lightweight Probabilistic Deep Networks
Lightweight Probabilistic Deep Networks
Jochen Gast
Stefan Roth
UQCVOODBDL
95
183
0
29 May 2018
CapsNet comparative performance evaluation for image classification
CapsNet comparative performance evaluation for image classification
Rinat Mukhometzianov
Juan Carrillo
63
98
0
28 May 2018
Adversarial Examples in Remote Sensing
Adversarial Examples in Remote Sensing
W. Czaja
Neil Fendley
M. Pekala
Christopher R. Ratto
I-J. Wang
AAML
49
68
0
28 May 2018
Lipschitz regularity of deep neural networks: analysis and efficient
  estimation
Lipschitz regularity of deep neural networks: analysis and efficient estimation
Kevin Scaman
Aladin Virmaux
161
533
0
28 May 2018
Denoising Distant Supervision for Relation Extraction via Instance-Level
  Adversarial Training
Denoising Distant Supervision for Relation Extraction via Instance-Level Adversarial Training
Xu Han
Zhiyuan Liu
Maosong Sun
64
16
0
28 May 2018
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
M. Alzantot
Yash Sharma
Supriyo Chakraborty
Huan Zhang
Cho-Jui Hsieh
Mani B. Srivastava
AAML
103
258
0
28 May 2018
Defending Against Adversarial Attacks by Leveraging an Entire GAN
Defending Against Adversarial Attacks by Leveraging an Entire GAN
G. Santhanam
Paulina Grnarova
AAML
47
40
0
27 May 2018
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by
  Minimizing Predictive Variance
Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance
Neal Jean
Sang Michael Xie
Stefano Ermon
BDLSSL
79
77
0
26 May 2018
Training verified learners with learned verifiers
Training verified learners with learned verifiers
Krishnamurthy Dvijotham
Sven Gowal
Robert Stanforth
Relja Arandjelović
Brendan O'Donoghue
J. Uesato
Pushmeet Kohli
OOD
114
170
0
25 May 2018
Automated Verification of Neural Networks: Advances, Challenges and
  Perspectives
Automated Verification of Neural Networks: Advances, Challenges and Perspectives
Francesco Leofante
Nina Narodytska
Luca Pulina
A. Tacchella
AAML
66
70
0
25 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural
  Network Robustness
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness
Carlos Lassance
Vincent Gripon
Antonio Ortega
AAML
88
16
0
24 May 2018
Towards Robust Training of Neural Networks by Regularizing Adversarial
  Gradients
Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients
Fuxun Yu
Zirui Xu
Yanzhi Wang
Chenchen Liu
Xiang Chen
AAML
42
10
0
23 May 2018
Communication Algorithms via Deep Learning
Communication Algorithms via Deep Learning
Hyeji Kim
Yihan Jiang
Ranvir Rana
Sreeram Kannan
Sewoong Oh
Pramod Viswanath
66
220
0
23 May 2018
Towards the first adversarially robust neural network model on MNIST
Towards the first adversarially robust neural network model on MNIST
Lukas Schott
Jonas Rauber
Matthias Bethge
Wieland Brendel
AAMLOOD
87
370
0
23 May 2018
Approximate Newton-based statistical inference using only stochastic
  gradients
Approximate Newton-based statistical inference using only stochastic gradients
Tianyang Li
Anastasios Kyrillidis
Liu Liu
Constantine Caramanis
65
6
0
23 May 2018
Amortized Inference Regularization
Amortized Inference Regularization
Rui Shu
Hung Bui
Shengjia Zhao
Mykel J. Kochenderfer
Stefano Ermon
DRL
57
82
0
23 May 2018
Adversarially Robust Training through Structured Gradient Regularization
Adversarially Robust Training through Structured Gradient Regularization
Kevin Roth
Aurelien Lucchi
Sebastian Nowozin
Thomas Hofmann
72
23
0
22 May 2018
Robust Conditional Generative Adversarial Networks
Robust Conditional Generative Adversarial Networks
Grigorios G. Chrysos
Jean Kossaifi
Stefanos Zafeiriou
GAN
90
30
0
22 May 2018
Deep learning generalizes because the parameter-function map is biased
  towards simple functions
Deep learning generalizes because the parameter-function map is biased towards simple functions
Guillermo Valle Pérez
Chico Q. Camargo
A. Louis
MLTAI4CE
122
232
0
22 May 2018
Classification Uncertainty of Deep Neural Networks Based on Gradient
  Information
Classification Uncertainty of Deep Neural Networks Based on Gradient Information
Philipp Oberdiek
Matthias Rottmann
Hanno Gottschalk
UQCV
68
64
0
22 May 2018
Verifiable Reinforcement Learning via Policy Extraction
Verifiable Reinforcement Learning via Policy Extraction
Osbert Bastani
Yewen Pu
Armando Solar-Lezama
OffRL
151
339
0
22 May 2018
A Simple Cache Model for Image Recognition
A Simple Cache Model for Image Recognition
Emin Orhan
VLM
128
30
0
21 May 2018
Bidirectional Learning for Robust Neural Networks
Bidirectional Learning for Robust Neural Networks
S. Pontes-Filho
Marcus Liwicki
68
9
0
21 May 2018
Adversarial Noise Layer: Regularize Neural Network By Adding Noise
Adversarial Noise Layer: Regularize Neural Network By Adding Noise
Zhonghui You
Jinmian Ye
Kunming Li
Zenglin Xu
Ping Wang
82
77
0
21 May 2018
Adversarial Attacks on Neural Networks for Graph Data
Adversarial Attacks on Neural Networks for Graph Data
Daniel Zügner
Amir Akbarnejad
Stephan Günnemann
GNNAAMLOOD
197
1,075
0
21 May 2018
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GANAAML
222
307
0
21 May 2018
Featurized Bidirectional GAN: Adversarial Defense via Adversarially
  Learned Semantic Inference
Featurized Bidirectional GAN: Adversarial Defense via Adversarially Learned Semantic Inference
Ruying Bao
Sihang Liang
Qingcan Wang
GANAAML
71
13
0
21 May 2018
Targeted Adversarial Examples for Black Box Audio Systems
Targeted Adversarial Examples for Black Box Audio Systems
Rohan Taori
Amog Kamsetty
Brenton Chu
N. Vemuri
AAML
65
186
0
20 May 2018
Overcoming catastrophic forgetting problem by weight consolidation and
  long-term memory
Overcoming catastrophic forgetting problem by weight consolidation and long-term memory
Shixian Wen
Laurent Itti
CLL
58
16
0
18 May 2018
A Theoretical Explanation for Perplexing Behaviors of
  Backpropagation-based Visualizations
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
Weili Nie
Yang Zhang
Ankit B. Patel
FAtt
179
151
0
18 May 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using
  Generative Models
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei
Maya Kabkab
Rama Chellappa
AAMLGAN
120
1,183
0
17 May 2018
Regularization Learning Networks: Deep Learning for Tabular Datasets
Regularization Learning Networks: Deep Learning for Tabular Datasets
Ira Shavitt
E. Segal
AI4CE
46
20
0
16 May 2018
Towards Robust Neural Machine Translation
Towards Robust Neural Machine Translation
Yong Cheng
Zhaopeng Tu
Fandong Meng
Junjie Zhai
Yang Liu
AAML
73
161
0
16 May 2018
Knowledge Distillation with Adversarial Samples Supporting Decision
  Boundary
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Byeongho Heo
Minsik Lee
Sangdoo Yun
J. Choi
AAML
147
146
0
15 May 2018
Did the Model Understand the Question?
Did the Model Understand the Question?
Pramod Kaushik Mudrakarta
Ankur Taly
Mukund Sundararajan
Kedar Dhamdhere
ELMOODFAtt
85
200
0
14 May 2018
Hu-Fu: Hardware and Software Collaborative Attack Framework against
  Neural Networks
Hu-Fu: Hardware and Software Collaborative Attack Framework against Neural Networks
Wenshuo Li
Jincheng Yu
Xuefei Ning
Pengjun Wang
Qi Wei
Yu Wang
Huazhong Yang
AAML
93
63
0
14 May 2018
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