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Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images

Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

5 December 2014
Anh Totti Nguyen
J. Yosinski
Jeff Clune
    AAML
ArXivPDFHTML

Papers citing "Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"

50 / 1,401 papers shown
Title
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Boosting Out-of-Distribution Detection with Multiple Pre-trained Models
Feng Xue
Zi He
Chuanlong Xie
Falong Tan
Zhenguo Li
OODD
45
7
0
24 Dec 2022
EndoBoost: a plug-and-play module for false positive suppression during
  computer-aided polyp detection in real-world colonoscopy (with dataset)
EndoBoost: a plug-and-play module for false positive suppression during computer-aided polyp detection in real-world colonoscopy (with dataset)
Haoran Wang
Yan Zhu
W. Qin
Yizhe Zhang
Pinghong Zhou
Quanlin Li
Shuo Wang
Zhijian Song
34
2
0
23 Dec 2022
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
Yahan Yang
Soham Dan
Dan Roth
Insup Lee
6
5
0
20 Dec 2022
Fast Entropy-Based Methods of Word-Level Confidence Estimation for
  End-To-End Automatic Speech Recognition
Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-To-End Automatic Speech Recognition
A. Laptev
Boris Ginsburg
46
7
0
16 Dec 2022
Hippocampus-Inspired Cognitive Architecture (HICA) for Operant
  Conditioning
Hippocampus-Inspired Cognitive Architecture (HICA) for Operant Conditioning
Deokgun Park
Md Ashaduzzaman Rubel Mondol
Sm Mazharul Islam
Aishwarya Pothula
28
0
0
16 Dec 2022
Strong-AI Autoepistemic Robots Build on Intensional First Order Logic
Strong-AI Autoepistemic Robots Build on Intensional First Order Logic
Z. Majkic
NAI
9
1
0
14 Dec 2022
Carpet-bombing patch: attacking a deep network without usual
  requirements
Carpet-bombing patch: attacking a deep network without usual requirements
Pol Labarbarie
Adrien Chan-Hon-Tong
Stéphane Herbin
Milad Leyli-Abadi
AAML
32
1
0
12 Dec 2022
Spurious Features Everywhere -- Large-Scale Detection of Harmful
  Spurious Features in ImageNet
Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet
Yannic Neuhaus
Maximilian Augustin
Valentyn Boreiko
Matthias Hein
AAML
38
30
0
09 Dec 2022
Fairify: Fairness Verification of Neural Networks
Fairify: Fairness Verification of Neural Networks
Sumon Biswas
Hridesh Rajan
35
24
0
08 Dec 2022
Block Selection Method for Using Feature Norm in Out-of-distribution
  Detection
Block Selection Method for Using Feature Norm in Out-of-distribution Detection
Yeonguk Yu
Sungho Shin
Seongju Lee
C. Jun
Kyoobin Lee
OODD
27
31
0
05 Dec 2022
YolOOD: Utilizing Object Detection Concepts for Multi-Label
  Out-of-Distribution Detection
YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
Alon Zolfi
Guy Amit
A. Baras
Satoru Koda
I. Morikawa
Yuval Elovici
A. Shabtai
OODD
30
1
0
05 Dec 2022
Improving Training and Inference of Face Recognition Models via Random
  Temperature Scaling
Improving Training and Inference of Face Recognition Models via Random Temperature Scaling
Lei Shang
Mou-Yue Huang
Wuxuan Shi
Yuchen Liu
Yang Liu
Fei-Yue Wang
Baigui Sun
Xuansong Xie
Yu Qiao
UQCV
24
8
0
02 Dec 2022
Extreme Image Transformations Affect Humans and Machines Differently
Extreme Image Transformations Affect Humans and Machines Differently
Girik Malik
Dakarai Crowder
E. Mingolla
AAML
31
2
0
30 Nov 2022
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial
  Perturbations against Interpretable Deep Learning
Interpretations Cannot Be Trusted: Stealthy and Effective Adversarial Perturbations against Interpretable Deep Learning
Eldor Abdukhamidov
Mohammed Abuhamad
Simon S. Woo
Eric Chan-Tin
Tamer Abuhmed
AAML
36
9
0
29 Nov 2022
Traditional Classification Neural Networks are Good Generators: They are
  Competitive with DDPMs and GANs
Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs
Guangrun Wang
Philip Torr
33
8
0
27 Nov 2022
Supervised Contrastive Prototype Learning: Augmentation Free Robust
  Neural Network
Supervised Contrastive Prototype Learning: Augmentation Free Robust Neural Network
Iordanis Fostiropoulos
Laurent Itti
45
1
0
26 Nov 2022
RbA: Segmenting Unknown Regions Rejected by All
RbA: Segmenting Unknown Regions Rejected by All
Nazir Nayal
Mısra Yavuz
João F. Henriques
Fatma Guney
UQCV
21
46
0
25 Nov 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step
  Inference
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
N. Durasov
Nik Dorndorf
Hieu M. Le
Pascal Fua
UQCV
38
10
0
21 Nov 2022
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution
  Detection
Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection
Luping Liu
Yi Ren
Xize Cheng
Rongjie Huang
Chongxuan Li
Zhou Zhao
34
7
0
21 Nov 2022
PartCom: Part Composition Learning for 3D Open-Set Recognition
PartCom: Part Composition Learning for 3D Open-Set Recognition
Tingyu Weng
Junhao Xiao
Haiyong Jiang
3DPC
13
3
0
20 Nov 2022
Data-Centric Debugging: mitigating model failures via targeted data
  collection
Data-Centric Debugging: mitigating model failures via targeted data collection
Sahil Singla
Atoosa Malemir Chegini
Mazda Moayeri
Soheil Feiz
29
4
0
17 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
29
38
0
17 Nov 2022
Efficiently Finding Adversarial Examples with DNN Preprocessing
Efficiently Finding Adversarial Examples with DNN Preprocessing
Avriti Chauhan
Mohammad Afzal
Hrishikesh Karmarkar
Y. Elboher
Kumar Madhukar
Guy Katz
AAML
37
0
0
16 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory
  Prediction
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Masha Itkina
Mykel J. Kochenderfer
EDL
UQCV
31
26
0
16 Nov 2022
Heatmap-based Out-of-Distribution Detection
Heatmap-based Out-of-Distribution Detection
Julia Hornauer
Vasileios Belagiannis
OODD
27
7
0
15 Nov 2022
QuerySnout: Automating the Discovery of Attribute Inference Attacks
  against Query-Based Systems
QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems
Ana-Maria Cretu
F. Houssiau
Antoine Cully
Yves-Alexandre de Montjoye
AAML
23
10
0
09 Nov 2022
Understanding the properties and limitations of contrastive learning for
  Out-of-Distribution detection
Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection
Nawid Keshtmand
Raúl Santos-Rodríguez
J. Lawry
SSL
21
1
0
06 Nov 2022
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
Yong-Min Shin
Sun-Woo Kim
Won-Yong Shin
37
4
0
31 Oct 2022
LeNo: Adversarial Robust Salient Object Detection Networks with
  Learnable Noise
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise
He Tang
Lin Wan
He Wang
47
21
0
27 Oct 2022
Watermarking for Out-of-distribution Detection
Watermarking for Out-of-distribution Detection
Qizhou Wang
Feng Liu
Yonggang Zhang
Jing Zhang
Chen Gong
Tongliang Liu
Bo Han
OODD
30
31
0
27 Oct 2022
Improving Adversarial Robustness with Self-Paced Hard-Class Pair
  Reweighting
Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
Peng-Fei Hou
Jie Han
Xingyu Li
AAML
OOD
23
11
0
26 Oct 2022
GFlowOut: Dropout with Generative Flow Networks
GFlowOut: Dropout with Generative Flow Networks
Dianbo Liu
Moksh Jain
Bonaventure F. P. Dossou
Qianli Shen
Salem Lahlou
...
Dinghuai Zhang
N. Hassen
Xu Ji
Kenji Kawaguchi
Yoshua Bengio
UQCV
BDL
OOD
33
20
0
24 Oct 2022
On double-descent in uncertainty quantification in overparametrized
  models
On double-descent in uncertainty quantification in overparametrized models
Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
UQCV
46
12
0
23 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident
  Classifier
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier
Sumedha Singla
Nihal Murali
Forough Arabshahi
Sofia Triantafyllou
Kayhan Batmanghelich
CML
59
5
0
21 Oct 2022
Exiting the Simulation: The Road to Robust and Resilient Autonomous
  Vehicles at Scale
Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale
Richard Chakra
32
2
0
19 Oct 2022
Packed-Ensembles for Efficient Uncertainty Estimation
Packed-Ensembles for Efficient Uncertainty Estimation
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
48
32
0
17 Oct 2022
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
Yunhua Zhou
Pengyu Wang
Peiju Liu
Yuxin Wang
Xipeng Qiu
36
2
0
13 Oct 2022
Microscopy is All You Need
Microscopy is All You Need
Sergei V. Kalinin
Rama K Vasudevan
Yongtao Liu
Ayana Ghosh
Kevin M. Roccapriore
M. Ziatdinov
33
0
0
12 Oct 2022
Robust Models are less Over-Confident
Robust Models are less Over-Confident
Julia Grabinski
Paul Gavrikov
J. Keuper
Margret Keuper
AAML
41
24
0
12 Oct 2022
Detect, Distill and Update: Learned DB Systems Facing Out of
  Distribution Data
Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
M. Kurmanji
Peter Triantafillou
OOD
AAML
36
18
0
11 Oct 2022
Trustworthy clinical AI solutions: a unified review of uncertainty
  quantification in deep learning models for medical image analysis
Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
Benjamin Lambert
Florence Forbes
A. Tucholka
Senan Doyle
Harmonie Dehaene
M. Dojat
34
81
0
05 Oct 2022
Random Weight Factorization Improves the Training of Continuous Neural
  Representations
Random Weight Factorization Improves the Training of Continuous Neural Representations
Sizhuang He
Hanwen Wang
Jacob H. Seidman
P. Perdikaris
34
10
0
03 Oct 2022
Decompiling x86 Deep Neural Network Executables
Decompiling x86 Deep Neural Network Executables
Zhibo Liu
Yuanyuan Yuan
Shuai Wang
Xiaofei Xie
Lei Ma
AAML
45
13
0
03 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional
  Language Models
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
Jie Jessie Ren
Jiaming Luo
Yao-Min Zhao
Kundan Krishna
Mohammad Saleh
Balaji Lakshminarayanan
Peter J. Liu
OODD
75
98
0
30 Sep 2022
Leveraging variational autoencoders for multiple data imputation
Leveraging variational autoencoders for multiple data imputation
Breeshey Roskams-Hieter
J. Wells
S. Wade
DRL
33
5
0
30 Sep 2022
Hebbian Deep Learning Without Feedback
Hebbian Deep Learning Without Feedback
Adrien Journé
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
AAML
36
49
0
23 Sep 2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative
  Adversarial Attacks
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
Abhishek Aich
Shasha Li
Chengyu Song
Ulugbek S. Kamilov
S. Krishnamurthy
Amit K. Roy-Chowdhury
AAML
32
8
0
20 Sep 2022
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Extremely Simple Activation Shaping for Out-of-Distribution Detection
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
172
152
0
20 Sep 2022
GAMA: Generative Adversarial Multi-Object Scene Attacks
GAMA: Generative Adversarial Multi-Object Scene Attacks
Abhishek Aich
Calvin-Khang Ta
Akash Gupta
Chengyu Song
S. Krishnamurthy
Ulugbek S. Kamilov
Amit K. Roy-Chowdhury
AAML
56
17
0
20 Sep 2022
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
Yue Song
N. Sebe
Wei Wang
OODD
64
54
0
18 Sep 2022
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