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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
InFlow: Robust outlier detection utilizing Normalizing Flows
InFlow: Robust outlier detection utilizing Normalizing Flows
Nishant Kumar
Pia Hanfeld
Michael Hecht
Michael Bussmann
Stefan Gumhold
Nico Hoffmann
OODD
OOD
TPM
29
4
0
10 Jun 2021
Understanding Softmax Confidence and Uncertainty
Understanding Softmax Confidence and Uncertainty
Tim Pearce
Alexandra Brintrup
Jun Zhu
UQCV
22
89
0
09 Jun 2021
Explainable AI for medical imaging: Explaining pneumothorax diagnoses
  with Bayesian Teaching
Explainable AI for medical imaging: Explaining pneumothorax diagnoses with Bayesian Teaching
Tomas Folke
Scott Cheng-Hsin Yang
S. Anderson
Patrick Shafto
21
19
0
08 Jun 2021
Provably Robust Detection of Out-of-distribution Data (almost) for free
Provably Robust Detection of Out-of-distribution Data (almost) for free
Alexander Meinke
Julian Bitterwolf
Matthias Hein
OODD
38
22
0
08 Jun 2021
On the role of feedback in visual processing: a predictive coding
  perspective
On the role of feedback in visual processing: a predictive coding perspective
A. Alamia
Milad Mozafari
Bhavin Choksi
Rufin VanRullen
13
5
0
08 Jun 2021
White Paper Assistance: A Step Forward Beyond the Shortcut Learning
White Paper Assistance: A Step Forward Beyond the Shortcut Learning
Xuan Cheng
Tianshu Xie
Xiaomin Wang
Jiali Deng
Minghui Liu
Meilin Liu
AAML
26
0
0
08 Jun 2021
Frustratingly Easy Uncertainty Estimation for Distribution Shift
Frustratingly Easy Uncertainty Estimation for Distribution Shift
Tiago Salvador
Vikram S. Voleti
Alexander Iannantuono
Adam M. Oberman
OOD
UQCV
35
1
0
07 Jun 2021
Exploring the Limits of Out-of-Distribution Detection
Exploring the Limits of Out-of-Distribution Detection
Stanislav Fort
Jie Jessie Ren
Balaji Lakshminarayanan
27
328
0
06 Jun 2021
Predify: Augmenting deep neural networks with brain-inspired predictive
  coding dynamics
Predify: Augmenting deep neural networks with brain-inspired predictive coding dynamics
Bhavin Choksi
Milad Mozafari
Callum Biggs O'May
Benjamin Ador
A. Alamia
Rufin VanRullen
AI4CE
30
35
0
04 Jun 2021
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep
  Kernel Learning
Quantifying Predictive Uncertainty in Medical Image Analysis with Deep Kernel Learning
Zhiliang Wu
Yinchong Yang
Jindong Gu
Volker Tresp
UQCV
MedIm
28
9
0
01 Jun 2021
Machine Learning for Security in Vehicular Networks: A Comprehensive
  Survey
Machine Learning for Security in Vehicular Networks: A Comprehensive Survey
Anum Talpur
M. Gurusamy
19
61
0
31 May 2021
The effectiveness of feature attribution methods and its correlation
  with automatic evaluation scores
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
Giang Nguyen
Daeyoung Kim
Anh Totti Nguyen
FAtt
24
86
0
31 May 2021
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart
Tianyu Pang
Huishuai Zhang
Di He
Yinpeng Dong
Hang Su
Wei Chen
Jun Zhu
Tie-Yan Liu
AAML
10
16
0
31 May 2021
Open-world Machine Learning: Applications, Challenges, and Opportunities
Open-world Machine Learning: Applications, Challenges, and Opportunities
Jitendra Parmar
S. Chouhan
Vaskar Raychoudhury
S. Rathore
OffRL
43
92
0
27 May 2021
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks
  to Spiking Neural Networks with Bistable Neurons
BSNN: Towards Faster and Better Conversion of Artificial Neural Networks to Spiking Neural Networks with Bistable Neurons
Yang Li
Yi Zeng
Dongcheng Zhao
39
26
0
27 May 2021
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional
  Computing
HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing
Rahul Thapa
Dongning Ma
Xun Jiao
16
10
0
26 May 2021
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For
  Autonomous Driving
Spatio-Contextual Deep Network Based Multimodal Pedestrian Detection For Autonomous Driving
Kinjal Dasgupta
Arindam Das
Sudip Das
Ujjwal Bhattacharya
S. Yogamani
35
61
0
26 May 2021
Anomaly Detection of Adversarial Examples using Class-conditional
  Generative Adversarial Networks
Anomaly Detection of Adversarial Examples using Class-conditional Generative Adversarial Networks
Hang Wang
David J. Miller
G. Kesidis
GAN
AAML
32
11
0
21 May 2021
Assessing aesthetics of generated abstract images using correlation
  structure
Assessing aesthetics of generated abstract images using correlation structure
Sina Khajehabdollahi
Georg Martius
Anna Levina
18
3
0
18 May 2021
An Effective Baseline for Robustness to Distributional Shift
An Effective Baseline for Robustness to Distributional Shift
S. Thulasidasan
Sushil Thapa
S. Dhaubhadel
Gopinath Chennupati
Tanmoy Bhattacharya
J. Bilmes
OOD
OODD
34
26
0
15 May 2021
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
A Bit More Bayesian: Domain-Invariant Learning with Uncertainty
Zehao Xiao
Jiayi Shen
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
BDL
UQCV
OOD
35
39
0
09 May 2021
Analysis and Mitigations of Reverse Engineering Attacks on Local Feature
  Descriptors
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
16
15
0
09 May 2021
Topological Uncertainty: Monitoring trained neural networks through
  persistence of activation graphs
Topological Uncertainty: Monitoring trained neural networks through persistence of activation graphs
Théo Lacombe
Yuichi Ike
Mathieu Carrière
Frédéric Chazal
Marc Glisse
Yuhei Umeda
29
21
0
07 May 2021
Digital Voodoo Dolls
Digital Voodoo Dolls
Marija Slavkovik
Clemens Stachl
Caroline Pitman
Jon Askonas
19
4
0
06 May 2021
Physical world assistive signals for deep neural network classifiers --
  neither defense nor attack
Physical world assistive signals for deep neural network classifiers -- neither defense nor attack
Camilo Pestana
Wei Liu
D. Glance
R. Owens
Ajmal Mian
AAML
19
0
0
03 May 2021
Adversarial Example Detection for DNN Models: A Review and Experimental
  Comparison
Adversarial Example Detection for DNN Models: A Review and Experimental Comparison
Ahmed Aldahdooh
W. Hamidouche
Sid Ahmed Fezza
Olivier Déforges
AAML
30
122
0
01 May 2021
Generative Art Using Neural Visual Grammars and Dual Encoders
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
53
12
0
01 May 2021
IPatch: A Remote Adversarial Patch
IPatch: A Remote Adversarial Patch
Yisroel Mirsky
AAML
22
12
0
30 Apr 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI
  Safety
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
13
58
0
29 Apr 2021
Unsupervised Learning of Multi-level Structures for Anomaly Detection
Unsupervised Learning of Multi-level Structures for Anomaly Detection
Songmin Dai
Jide Li
Lu Wang
Congcong Zhu
Yifan Wu
Xiaoqiang Li
23
0
0
25 Apr 2021
Evaluating Deception Detection Model Robustness To Linguistic Variation
Evaluating Deception Detection Model Robustness To Linguistic Variation
M. Glenski
Ellyn Ayton
Robin Cosbey
Dustin L. Arendt
Svitlana Volkova
AAML
19
0
0
23 Apr 2021
Neuro-inspired edge feature fusion using Choquet integrals
Neuro-inspired edge feature fusion using Choquet integrals
C. Marco-Detchart
Giancarlo Lucca
C. López-Molina
L. D. Miguel
G. Dimuro
H. Bustince
30
27
0
22 Apr 2021
See through Gradients: Image Batch Recovery via GradInversion
See through Gradients: Image Batch Recovery via GradInversion
Hongxu Yin
Arun Mallya
Arash Vahdat
J. Álvarez
Jan Kautz
Pavlo Molchanov
FedML
25
464
0
15 Apr 2021
Enhancing Deep Neural Network Saliency Visualizations with Gradual
  Extrapolation
Enhancing Deep Neural Network Saliency Visualizations with Gradual Extrapolation
Tomasz Szandała
FAtt
24
4
0
11 Apr 2021
Does Your Dermatology Classifier Know What It Doesn't Know? Detecting
  the Long-Tail of Unseen Conditions
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
...
Yun-Hui Liu
taylan. cemgil
Alan Karthikesalingam
Balaji Lakshminarayanan
Jim Winkens
18
104
0
08 Apr 2021
Beyond Categorical Label Representations for Image Classification
Beyond Categorical Label Representations for Image Classification
Boyuan Chen
Yu Li
Sunand Raghupathi
Hod Lipson
SSL
40
2
0
06 Apr 2021
Semantically Stealthy Adversarial Attacks against Segmentation Models
Semantically Stealthy Adversarial Attacks against Segmentation Models
Zhenhua Chen
Chuhua Wang
David J. Crandall
AAML
32
10
0
05 Apr 2021
The Compact Support Neural Network
The Compact Support Neural Network
Adrian Barbu
Hongyu Mou
19
5
0
01 Apr 2021
Reliable Detection of Compressed and Encrypted Data
Reliable Detection of Compressed and Encrypted Data
Fabio De Gaspari
Dorjan Hitaj
Giulio Pagnotta
Lorenzo De Carli
L. Mancini
12
17
0
31 Mar 2021
Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical
  Systems
Deep-RBF Networks for Anomaly Detection in Automotive Cyber-Physical Systems
Matthew P. Burruss
Shreyas Ramakrishna
A. Dubey
AAML
20
6
0
25 Mar 2021
ECINN: Efficient Counterfactuals from Invertible Neural Networks
ECINN: Efficient Counterfactuals from Invertible Neural Networks
Frederik Hvilshoj
Alexandros Iosifidis
Ira Assent
BDL
27
26
0
25 Mar 2021
MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning
  Framework for Universal Non-additive Steganography
MCTSteg: A Monte Carlo Tree Search-based Reinforcement Learning Framework for Universal Non-additive Steganography
Xianbo Mo
Shunquan Tan
Bin Li
Jiwu Huang
11
25
0
25 Mar 2021
Decision Theoretic Bootstrapping
Decision Theoretic Bootstrapping
P. Tavallali
Hamed Hamze Bajgiran
Danial Esaid
H. Owhadi
27
0
0
18 Mar 2021
Can Targeted Adversarial Examples Transfer When the Source and Target
  Models Have No Label Space Overlap?
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
H. Li
Yiran Chen
AAML
27
5
0
17 Mar 2021
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional
  Computing
HDTest: Differential Fuzz Testing of Brain-Inspired Hyperdimensional Computing
Dongning Ma
Jianmin Guo
Yu Jiang
Xun Jiao
AAML
30
25
0
15 Mar 2021
Attack as Defense: Characterizing Adversarial Examples using Robustness
Attack as Defense: Characterizing Adversarial Examples using Robustness
Zhe Zhao
Guangke Chen
Jingyi Wang
Yiwei Yang
Fu Song
Jun Sun
AAML
36
31
0
13 Mar 2021
Revisiting Model's Uncertainty and Confidences for Adversarial Example
  Detection
Revisiting Model's Uncertainty and Confidences for Adversarial Example Detection
Ahmed Aldahdooh
W. Hamidouche
Olivier Déforges
AAML
21
28
0
09 Mar 2021
Contemplating real-world object classification
Contemplating real-world object classification
Ali Borji
OOD
24
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
30
19
0
08 Mar 2021
Categorical Foundations of Gradient-Based Learning
Categorical Foundations of Gradient-Based Learning
Geoffrey S. H. Cruttwell
Bruno Gavranović
Neil Ghani
Paul W. Wilson
Fabio Zanasi
FedML
28
70
0
02 Mar 2021
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