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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
Re-assign community
ArXiv (abs)
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Papers citing
"Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"
50 / 1,455 papers shown
Deep neural network loses attention to adversarial images
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Danilo Vasconcellos Vargas
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110
5
0
10 Jun 2021
InFlow: Robust outlier detection utilizing Normalizing Flows
Nishant Kumar
Pia Hanfeld
Michael Hecht
Michael Bussmann
Stefan Gumhold
Nico Hoffmann
OODD
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TPM
182
5
0
10 Jun 2021
Understanding Softmax Confidence and Uncertainty
Tim Pearce
Alexandra Brintrup
Jun Zhu
UQCV
272
107
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09 Jun 2021
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching
Tomas Folke
Scott Cheng-Hsin Yang
S. Anderson
Patrick Shafto
99
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0
08 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for free
Neural Information Processing Systems (NeurIPS), 2021
Alexander Meinke
Julian Bitterwolf
Matthias Hein
OODD
221
22
0
08 Jun 2021
On the role of feedback in visual processing: a predictive coding perspective
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Milad Mozafari
Bhavin Choksi
Rufin VanRullen
141
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08 Jun 2021
White Paper Assistance: A Step Forward Beyond the Shortcut Learning
Xuan Cheng
Tianshu Xie
Xiaomin Wang
Jiali Deng
Minghui Liu
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AAML
207
0
0
08 Jun 2021
Frustratingly Easy Uncertainty Estimation for Distribution Shift
Tiago Salvador
Vikram S. Voleti
Alexander Iannantuono
Adam M. Oberman
OOD
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197
1
0
07 Jun 2021
Exploring the Limits of Out-of-Distribution Detection
Neural Information Processing Systems (NeurIPS), 2021
Stanislav Fort
Jie Jessie Ren
Balaji Lakshminarayanan
489
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06 Jun 2021
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
Neural Information Processing Systems (NeurIPS), 2021
Bhavin Choksi
Milad Mozafari
Callum Biggs O'May
Benjamin Ador
A. Alamia
Rufin VanRullen
AI4CE
171
46
0
04 Jun 2021
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning
IEEE International Conference on Healthcare Informatics (ICHI), 2021
Zhiliang Wu
Yinchong Yang
Jindong Gu
Volker Tresp
UQCV
MedIm
106
10
0
01 Jun 2021
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey
IEEE Communications Surveys and Tutorials (COMST), 2021
Anum Talpur
M. Gurusamy
332
81
0
31 May 2021
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Neural Information Processing Systems (NeurIPS), 2021
Giang Nguyen
Daeyoung Kim
Anh Totti Nguyen
FAtt
506
105
0
31 May 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
Computer Vision and Pattern Recognition (CVPR), 2021
Tianyu Pang
Huishuai Zhang
Di He
Yinpeng Dong
Hang Su
Wei Chen
Jun Zhu
Tie-Yan Liu
AAML
217
23
0
31 May 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities
ACM Computing Surveys (CSUR), 2021
Jitendra Parmar
S. Chouhan
Vaskar Raychoudhury
S. Rathore
OffRL
339
116
0
27 May 2021
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons
Frontiers in Neuroscience (Front. Neurosci.), 2021
Yang Li
Yi Zeng
Dongcheng Zhao
142
34
0
27 May 2021
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing
IEEE Computer Society Annual Symposium on VLSI (ISVLSI), 2021
Rahul Thapa
Dongning Ma
Xun Jiao
131
10
0
26 May 2021
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
Kinjal Dasgupta
Arindam Das
Sudip Das
Ujjwal Bhattacharya
S. Yogamani
366
79
0
26 May 2021
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks
Computers & security (CS), 2021
Hang Wang
David J. Miller
G. Kesidis
GAN
AAML
230
18
0
21 May 2021
Assessing aesthetics of generated abstract images using correlation structure
IEEE Symposium Series on Computational Intelligence (SSCI), 2019
Sina Khajehabdollahi
Georg Martius
Anna Levina
114
3
0
18 May 2021
An Effective Baseline for Robustness to Distributional Shift
International Conference on Machine Learning and Applications (ICMLA), 2021
S. Thulasidasan
Sushil Thapa
S. Dhaubhadel
Gopinath Chennupati
Tanmoy Bhattacharya
J. Bilmes
OOD
OODD
173
36
0
15 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
International Conference on Machine Learning (ICML), 2021
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
UQCV
OOD
259
47
0
09 May 2021
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature Descriptors
Deeksha Dangwal
Vincent T. Lee
Hyo Jin Kim
Tianwei Shen
M. Cowan
...
Brandon Reagen
Tim Sherwood
Vasileios Balntas
Armin Alaghi
Eddy Ilg
AAML
153
16
0
09 May 2021
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
International Joint Conference on Artificial Intelligence (IJCAI), 2021
Théo Lacombe
Yuichi Ike
Mathieu Carrière
Frédéric Chazal
Marc Glisse
Yuhei Umeda
172
26
0
07 May 2021
Digital Voodoo Dolls
AAAI/ACM Conference on AI, Ethics, and Society (AIES), 2021
Marija Slavkovik
Clemens Stachl
Caroline Pitman
Jon Askonas
167
4
0
06 May 2021
Physical world assistive signals for deep neural network classifiers -- neither defense nor attack
Camilo Pestana
Wei Liu
D. Glance
R. Owens
Lin Wang
AAML
90
0
0
03 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
Artificial Intelligence Review (AIR), 2021
Ahmed Aldahdooh
W. Hamidouche
Sid Ahmed Fezza
Olivier Déforges
AAML
696
159
0
01 May 2021
Generative Art Using Neural Visual Grammars and Dual Encoders
Chrisantha Fernando
S. M. Ali Eslami
Jean-Baptiste Alayrac
Piotr Wojciech Mirowski
Dylan Banarse
Simon Osindero
GAN
AI4CE
178
12
0
01 May 2021
IPatch: A Remote Adversarial Patch
Yisroel Mirsky
AAML
187
15
0
30 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety
Sebastian Houben
Stephanie Abrecht
Maram Akila
Andreas Bär
Felix Brockherde
...
Serin Varghese
Michael Weber
Sebastian J. Wirkert
Tim Wirtz
Matthias Woehrle
AAML
325
61
0
29 Apr 2021
Unsupervised Learning of Multi-level Structures for Anomaly Detection
Songmin Dai
Jide Li
Lu Wang
Congcong Zhu
Yifan Wu
Xiaoqiang Li
117
0
0
25 Apr 2021
Evaluating Deception Detection Model Robustness To Linguistic Variation
International Workshop on Natural Language Processing for Social Media (SocialNLP), 2021
M. Glenski
Ellyn Ayton
Robin Cosbey
Dustin L. Arendt
Svitlana Volkova
AAML
132
0
0
23 Apr 2021
Neuro-inspired edge feature fusion using Choquet integrals
Information Sciences (Inf. Sci.), 2021
C. Marco-Detchart
Giancarlo Lucca
C. López-Molina
L. D. Miguel
G. Dimuro
H. Bustince
92
32
0
22 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion
Computer Vision and Pattern Recognition (CVPR), 2021
Hongxu Yin
Arun Mallya
Arash Vahdat
J. Álvarez
Jan Kautz
Pavlo Molchanov
FedML
336
551
0
15 Apr 2021
Enhancing Deep Neural Network Saliency Visualizations with Gradual Extrapolation
IEEE Access (IEEE Access), 2021
Tomasz Szandała
FAtt
125
5
0
11 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions
Abhijit Guha Roy
Jie Jessie Ren
Shekoofeh Azizi
Aaron Loh
Vivek Natarajan
...
Yao Xiao
taylan. cemgil
Alan Karthikesalingam
Balaji Lakshminarayanan
Jim Winkens
248
117
0
08 Apr 2021
Beyond Categorical Label Representations for Image Classification
International Conference on Learning Representations (ICLR), 2021
Boyuan Chen
Yu Li
Sunand Raghupathi
Hod Lipson
SSL
152
2
0
06 Apr 2021
Semantically Stealthy Adversarial Attacks against Segmentation Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Zhenhua Chen
Chuhua Wang
David J. Crandall
AAML
230
14
0
05 Apr 2021
The Compact Support Neural Network
Italian National Conference on Sensors (INS), 2021
Adrian Barbu
Hongyu Mou
71
5
0
01 Apr 2021
Reliable Detection of Compressed and Encrypted Data
Fabio De Gaspari
Dorjan Hitaj
Giulio Pagnotta
Lorenzo De Carli
L. Mancini
137
20
0
31 Mar 2021
Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems
International Conference on Smart Computing (SMARTCOMP), 2021
Matthew P. Burruss
Shreyas Ramakrishna
A. Dubey
AAML
291
8
0
25 Mar 2021
ECINN: Efficient Counterfactuals from Invertible Neural Networks
British Machine Vision Conference (BMVC), 2021
Frederik Hvilshoj
Alexandros Iosifidis
Ira Assent
BDL
200
32
0
25 Mar 2021
MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning Framework for Universal Non-additive Steganography
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2021
Xianbo Mo
Shunquan Tan
Bin Li
Jiwu Huang
102
33
0
25 Mar 2021
Decision Theoretic Bootstrapping
International Journal for Uncertainty Quantification (IJUQ), 2021
P. Tavallali
Hamed Hamze Bajgiran
Danial Esaid
H. Owhadi
198
0
0
18 Mar 2021
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?
Nathan Inkawhich
Kevin J. Liang
Jingyang Zhang
Huanrui Yang
Xue Yang
Yiran Chen
AAML
114
5
0
17 Mar 2021
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing
Design Automation Conference (DAC), 2021
Dongning Ma
Jianmin Guo
Yu Jiang
Xun Jiao
AAML
172
28
0
15 Mar 2021
Attack as Defense: Characterizing Adversarial Examples using Robustness
International Symposium on Software Testing and Analysis (ISSTA), 2021
Zhe Zhao
Guangke Chen
Jingyi Wang
Yiwei Yang
Fu Song
Jun Sun
AAML
170
36
0
13 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection
Ahmed Aldahdooh
W. Hamidouche
Olivier Déforges
AAML
275
34
0
09 Mar 2021
Contemplating real-world object classification
International Conference on Learning Representations (ICLR), 2021
Ali Borji
OOD
126
9
0
08 Mar 2021
Packet-Level Adversarial Network Traffic Crafting using Sequence Generative Adversarial Networks
Qiumei Cheng
Shiying Zhou
Yi Shen
Dezhang Kong
Chunming Wu
GAN
197
21
0
08 Mar 2021
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