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1412.1897
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Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Computer Vision and Pattern Recognition (CVPR), 2014
5 December 2014
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
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Papers citing
"Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"
50 / 1,455 papers shown
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020
Philipp Terhörst
Daniel Fahrmann
Jan Niklas Kolf
Naser Damer
Florian Kirchbuchner
Arjan Kuijper
CVBM
272
47
0
02 Dec 2020
Incorporating Hidden Layer representation into Adversarial Attacks and Defences
Haojing Shen
Sihong Chen
Ran Wang
Xizhao Wang
AAML
140
0
0
28 Nov 2020
Nudge Attacks on Point-Cloud DNNs
Yiren Zhao
Ilia Shumailov
Robert D. Mullins
Ross J. Anderson
3DPC
AAML
139
9
0
22 Nov 2020
Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks
Mahdi Biparva
John K. Tsotsos
DRL
108
0
0
21 Nov 2020
Robustified Domain Adaptation
Jiajin Zhang
Hanqing Chao
Pingkun Yan
131
4
0
18 Nov 2020
Out-of-Distribution Detection for Automotive Perception
International Conference on Intelligent Transportation Systems (ITSC), 2020
Julia Nitsch
Masha Itkina
Ransalu Senanayake
Juan I. Nieto
M. Schmidt
Roland Siegwart
Mykel J. Kochenderfer
Cesar Cadena
UQCV
220
70
0
03 Nov 2020
Focus on the present: a regularization method for the ASR source-target attention layer
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Nanxin Chen
Piotr Żelasko
Jesús Villalba
Najim Dehak
200
3
0
02 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms
Rui Zhao
AAML
140
1
0
02 Nov 2020
All-Weather Object Recognition Using Radar and Infrared Sensing
Marcel Sheeny
174
1
0
30 Oct 2020
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks
IEEE Intelligent Systems (IEEE Intell. Syst.), 2020
Dorjan Hitaj
Briland Hitaj
S. Jajodia
L. Mancini
AAML
141
21
0
30 Oct 2020
Medical Deep Learning -- A systematic Meta-Review
Jan Egger
Christina Schwarz-Gsaxner
Antonio Pepe
Kelsey L. Pomykala
F. Jonske
Manuel Kurz
Jianning Li
Jens Kleesiek
OOD
AI4CE
410
107
0
28 Oct 2020
Bayesian Deep Learning via Subnetwork Inference
International Conference on Machine Learning (ICML), 2020
Erik A. Daxberger
Eric T. Nalisnick
J. Allingham
Javier Antorán
José Miguel Hernández-Lobato
UQCV
BDL
532
102
0
28 Oct 2020
Multiscale Score Matching for Out-of-Distribution Detection
International Conference on Learning Representations (ICLR), 2020
Ahsan Mahmood
Junier Oliva
M. Styner
OODD
357
33
0
25 Oct 2020
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization
Judy Borowski
Roland S. Zimmermann
Judith Schepers
Robert Geirhos
Thomas S. A. Wallis
Matthias Bethge
Wieland Brendel
FAtt
248
7
0
23 Oct 2020
Deep Neural Mobile Networking
Chaoyun Zhang
202
2
0
23 Oct 2020
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
Ruize Gao
Yifan Zhang
Jingfeng Zhang
Bo Han
Tongliang Liu
Gang Niu
Masashi Sugiyama
AAML
294
74
0
22 Oct 2020
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
Theodoros Tsiligkaridis
UQCV
98
8
0
19 Oct 2020
Stationary Activations for Uncertainty Calibration in Deep Learning
Neural Information Processing Systems (NeurIPS), 2020
Lassi Meronen
Christabella Irwanto
Arno Solin
UQCV
BDL
152
20
0
19 Oct 2020
Characterizing and Taming Model Instability Across Edge Devices
Conference on Machine Learning and Systems (MLSys), 2020
Eyal Cidon
Evgenya Pergament
Zain Asgar
Asaf Cidon
Sachin Katti
181
8
0
18 Oct 2020
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN
Yilin Shen
Wenhu Chen
Hongxia Jin
UQCV
BDL
146
5
0
16 Oct 2020
Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark
Bhusan Chettri
Emmanouil Benetos
Bob L. T. Sturm
180
32
0
15 Oct 2020
Human-interpretable model explainability on high-dimensional data
Damien de Mijolla
Christopher Frye
M. Kunesch
J. Mansir
Ilya Feige
FAtt
147
12
0
14 Oct 2020
Modulation Pattern Detection Using Complex Convolutions in Deep Learning
J. Krzyston
R. Bhattacharjea
A. Stark
88
7
0
14 Oct 2020
Scenic: A Language for Scenario Specification and Data Generation
Daniel J. Fremont
Edward J. Kim
T. Dreossi
Shromona Ghosh
Xiangyu Yue
Alberto L. Sangiovanni-Vincentelli
Sanjit A. Seshia
256
122
0
13 Oct 2020
Learning to Attack with Fewer Pixels: A Probabilistic Post-hoc Framework for Refining Arbitrary Dense Adversarial Attacks
He Zhao
Thanh-Tuan Nguyen
Trung Le
Paul Montague
O. Vel
Tamas Abraham
Dinh Q. Phung
AAML
157
2
0
13 Oct 2020
EFSG: Evolutionary Fooling Sentences Generator
Marco Di Giovanni
Marco Brambilla
AAML
122
3
0
12 Oct 2020
Diagnosing and Preventing Instabilities in Recurrent Video Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
T. Tanay
Aivar Sootla
Matteo Maggioni
P. Dokania
Juil Sock
A. Leonardis
Greg Slabaugh
346
7
0
10 Oct 2020
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation
IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Tielin Zhang
Shuncheng Jia
Xiang Cheng
Bo Xu
238
55
0
09 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi
Gilles Barthe
Bernhard Schölkopf
Isabel Valera
FaML
349
184
0
08 Oct 2020
Energy-based Out-of-distribution Detection
Weitang Liu
Xiaoyun Wang
John Douglas Owens
Shouqing Yang
OODD
1.1K
1,672
0
08 Oct 2020
Finite Meta-Dynamic Neurons in Spiking Neural Networks for Spatio-temporal Learning
Xiang Cheng
Tielin Zhang
Shuncheng Jia
Bo Xu
AI4CE
143
15
0
07 Oct 2020
From Language Games to Drawing Games
Chrisantha Fernando
D. Zenkova
Stanislav Nikolov
Simon Osindero
155
4
0
06 Oct 2020
Learnable Uncertainty under Laplace Approximations
Agustinus Kristiadi
Matthias Hein
Philipp Hennig
UQCV
BDL
209
40
0
06 Oct 2020
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence
Agustinus Kristiadi
Matthias Hein
Philipp Hennig
BDL
291
9
0
06 Oct 2020
A framework for predicting, interpreting, and improving Learning Outcomes
Chintan Donda
Sayantani Dasgupta
S. Dhavala
Keyur Faldu
Aditi Avasthi
166
4
0
06 Oct 2020
Astraea: Grammar-based Fairness Testing
IEEE Transactions on Software Engineering (TSE), 2020
E. Soremekun
Sakshi Udeshi
Sudipta Chattopadhyay
393
35
0
06 Oct 2020
Geometry-aware Instance-reweighted Adversarial Training
International Conference on Learning Representations (ICLR), 2020
Jingfeng Zhang
Jianing Zhu
Gang Niu
Bo Han
Masashi Sugiyama
Mohan Kankanhalli
AAML
294
304
0
05 Oct 2020
Explainability via Responsibility
Faraz Khadivpour
Matthew J. Guzdial
144
2
0
04 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples
International Conference on Computational Linguistics (COLING), 2020
Zhao Meng
Roger Wattenhofer
GAN
AAML
145
37
0
03 Oct 2020
Query complexity of adversarial attacks
International Conference on Machine Learning (ICML), 2020
Grzegorz Gluch
R. Urbanke
AAML
210
7
0
02 Oct 2020
Bag of Tricks for Adversarial Training
International Conference on Learning Representations (ICLR), 2020
Tianyu Pang
Xiao Yang
Yinpeng Dong
Hang Su
Jun Zhu
AAML
367
274
0
01 Oct 2020
Spatial Attention as an Interface for Image Captioning Models
P. Sadler
139
0
0
29 Sep 2020
Geometric Disentanglement by Random Convex Polytopes
M. Joswig
M. Kaluba
Lukas Ruff
176
4
0
29 Sep 2020
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations
AAAI Conference on Artificial Intelligence (AAAI), 2020
A. Wong
Mukund Mundhra
Stefano Soatto
AAML
354
33
0
21 Sep 2020
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering
AAAI Conference on Artificial Intelligence (AAAI), 2020
Doyup Lee
Yeongjae Cheon
Wook-Shin Han
AAML
OOD
199
17
0
21 Sep 2020
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization
Journal of Artificial Intelligence Research (JAIR), 2020
K. Nikolaidis
Stein Kristiansen
T. Plagemann
V. Goebel
Knut Liestøl
...
G. Traaen
Britt Overland
Harriet Akre
L. Aakerøy
S. Steinshamn
161
4
0
21 Sep 2020
NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation
International Conference on Automated Software Engineering (ASE), 2020
Brandon Paulsen
Jingbo Wang
Jiawei Wang
Chao Wang
193
40
0
21 Sep 2020
Improving Robustness and Generality of NLP Models Using Disentangled Representations
Jiawei Wu
Xiaoya Li
Xiang Ao
Yuxian Meng
Leilei Gan
Jiwei Li
OOD
DRL
158
14
0
21 Sep 2020
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles
IEEE Transactions on Emerging Topics in Computational Intelligence (IEEE TETCI), 2020
Xiaoyong Yuan
Lei Ding
Lan Zhang
Xiaolin Li
D. Wu
154
51
0
21 Sep 2020
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder
Liang Liang
Linhai Ma
Linchen Qian
Jiasong Chen
OODD
249
2
0
17 Sep 2020
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