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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
RankFeat: Rank-1 Feature Removal for Out-of-distribution Detection
Neural Information Processing Systems (NeurIPS), 2022
Yue Song
Andrii Zadaianchuk
Wei Wang
OODD
245
68
0
18 Sep 2022
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee
Minh Nhat Vu
Truc D. T. Nguyen
My T. Thai
AAML
126
4
0
18 Sep 2022
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection
ACM Multimedia (ACM MM), 2022
Rundong He
Rong Li
Zhongyi Han
Yilong Yin
181
6
0
16 Sep 2022
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks
International Conference on Learning Representations (ICLR), 2022
Xiaoqi Wang
Hang Shen
245
53
0
15 Sep 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense
IEEE Transactions on Geoscience and Remote Sensing (IEEE TGRS), 2022
Bo Peng
Bo Peng
Jie Zhou
Jianyue Xie
Li Liu
AAML
168
65
0
11 Sep 2022
Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation
International Conference on Information Photonics (ICIP), 2022
Koki Mukai
Soichiro Kumano
T. Yamasaki
OODD
OOD
97
10
0
06 Sep 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions
European Conference on Computer Vision (ECCV), 2022
Zhenyi Wang
Li Shen
Le Fang
Qiuling Suo
Dongling Zhan
Tiehang Duan
Mingchen Gao
OOD
CLL
161
20
0
03 Sep 2022
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss
Yannik Blei
Nicolas Jourdan
Nils Gählert
OODD
138
4
0
01 Sep 2022
A Black-Box Attack on Optical Character Recognition Systems
Samet Bayram
Kenneth Barner
AAML
182
6
0
30 Aug 2022
Bayesian Continual Learning via Spiking Neural Networks
Frontiers in Computational Neuroscience (Front. Comput. Neurosci.), 2022
N. Skatchkovsky
Hyeryung Jang
Osvaldo Simeone
BDL
271
22
0
29 Aug 2022
Confidence Estimation for Object Detection in Document Images
Pattern Recognition Letters (PRL), 2022
Mélodie Boillet
Christopher Kermorvant
Thierry Paquet
UQCV
127
6
0
29 Aug 2022
Neuromorphic Visual Scene Understanding with Resonator Networks
Alpha Renner
Lazar Supic
Andreea Danielescu
Giacomo Indiveri
Bruno A. Olshausen
Yulia Sandamirskaya
Friedrich T. Sommer
E. P. Frady
385
27
0
26 Aug 2022
Out-of-distribution Detection via Frequency-regularized Generative Models
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Mu Cai
Shouqing Yang
OODD
93
36
0
18 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance
Bahjat Kawar
Roy Ganz
Michael Elad
DiffM
186
46
0
18 Aug 2022
Safety Assessment for Autonomous Systems' Perception Capabilities
J. Molloy
John McDermid
129
4
0
17 Aug 2022
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization
Bin Deng
Kui Jia
OOD
290
2
0
16 Aug 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning
O. Odeyomi
Olubiyi O. Akintade
T. Olowu
G. Záruba
AILaw
3DV
AI4TS
200
1
0
16 Aug 2022
Improved post-hoc probability calibration for out-of-domain MRI segmentation
Cheng Ouyang
Shuo Wang
Chong Chen
Zeju Li
Wenjia Bai
Bernhard Kainz
Daniel Rueckert
UQCV
MedIm
188
5
0
04 Aug 2022
A New Kind of Adversarial Example
Ali Borji
AAML
190
1
0
04 Aug 2022
Gradient-based Uncertainty for Monocular Depth Estimation
European Conference on Computer Vision (ECCV), 2022
Julia Hornauer
Vasileios Belagiannis
UQCV
237
33
0
03 Aug 2022
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation
ACM Multimedia (ACM MM), 2022
Wen-hui Ma
Jinming Zhang
Shuang Li
Chi Harold Liu
Yulin Wang
Wei Li
141
18
0
02 Aug 2022
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification
Alessandro Wollek
Theresa Willem
Michael Ingrisch
B. Sabel
Tobias Lasser
OOD
175
4
0
01 Aug 2022
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification
Frej Berglind
Haron Temam
S. Mukhopadhyay
K. Das
Md Saiful Islam Sajol
K. Sricharan
Kumar Kallurupalli
OODD
81
1
0
01 Aug 2022
Is current research on adversarial robustness addressing the right problem?
Ali Borji
OOD
AAML
132
1
0
31 Jul 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking
European Conference on Computer Vision (ECCV), 2022
Yijun Yang
Ruiyuan Gao
Qiang Xu
OODD
185
37
0
31 Jul 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions
R. Hebbalaguppe
Soumya Suvra Goshal
Jatin Prakash
H. Khadilkar
Chetan Arora
OODD
207
8
0
28 Jul 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
Neural Information Processing Systems (NeurIPS), 2022
Giang Nguyen
Mohammad Reza Taesiri
Anh Totti Nguyen
556
48
0
26 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds
Neural Information Processing Systems (NeurIPS), 2022
A. Alliegro
Francesco Cappio Borlino
Tatiana Tommasi
3DPC
3DV
294
12
0
23 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness?
International Conference on Machine Learning (ICML), 2022
Roy Ganz
Bahjat Kawar
Michael Elad
AAML
303
15
0
22 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2022
Nandita Bhaskhar
D. Rubin
Christopher Lee-Messer
230
10
0
22 Jul 2022
Difficulty-Aware Simulator for Open Set Recognition
European Conference on Computer Vision (ECCV), 2022
WonJun Moon
Junho Park
Hyun Seok Seong
Cheol-Ho Cho
Jae-Pil Heo
257
40
0
20 Jul 2022
Tailoring Self-Supervision for Supervised Learning
European Conference on Computer Vision (ECCV), 2022
WonJun Moon
Ji-Hwan Kim
Jae-Pil Heo
SSL
153
13
0
20 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation
Victor Besnier
Andrei Bursuc
David Picard
Alexandre Briot
250
1
0
18 Jul 2022
A Simple Test-Time Method for Out-of-Distribution Detection
Ke Fan
Yikai Wang
Qian Yu
Da Li
Yanwei Fu
OODD
147
8
0
17 Jul 2022
PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations
S. Shekarpaz
Mohammad Azizmalayeri
M. Rohban
116
4
0
14 Jul 2022
A Baseline for Detecting Out-of-Distribution Examples in Image Captioning
ACM Multimedia (ACM MM), 2022
Gabi Shalev
Gal-Lev Shalev
Joseph Keshet
OODD
153
11
0
12 Jul 2022
Calibrate to Interpret
Gregory Scafarto
N. Posocco
Antoine Bonnefoy
FaML
111
5
0
07 Jul 2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting
Interspeech (Interspeech), 2022
Byeonggeun Kim
Seunghan Yang
Inseop Chung
Simyung Chang
155
18
0
28 Jun 2022
POEM: Out-of-Distribution Detection with Posterior Sampling
International Conference on Machine Learning (ICML), 2022
Yifei Ming
Ying Fan
Shouqing Yang
OODD
287
140
0
28 Jun 2022
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI
Leilani H. Gilpin
Andrew R. Paley
M. A. Alam
Sarah Spurlock
Kristian J. Hammond
XAI
202
7
0
27 Jun 2022
WeShort: Out-of-distribution Detection With Weak Shortcut structure
Jin-Siang Lin
OODD
205
0
0
23 Jun 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
International Conference on Machine Learning (ICML), 2022
Julian Bitterwolf
Alexander Meinke
Maximilian Augustin
Matthias Hein
OODD
214
32
0
20 Jun 2022
Multiple Testing Framework for Out-of-Distribution Detection
A. Magesh
Venugopal V. Veeravalli
Anirban Roy
Susmit Jha
OODD
359
5
0
20 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2022
Wenyu Jiang
Yuxin Ge
Hao Cheng
Mingcai Chen
Shuai Feng
Chongjun Wang
OODD
309
14
0
15 Jun 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack
International Conference on Machine Learning (ICML), 2022
Ruize Gao
Jiongxiao Wang
Kaiwen Zhou
Yifan Zhang
Binghui Xie
Gang Niu
Bo Han
James Cheng
AAML
169
18
0
15 Jun 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Rui Zhang
Song Guo
Junxiao Wang
Xin Xie
Dacheng Tao
165
49
0
15 Jun 2022
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning
Xiaohua Xie
Yin Li
Yong Jae Lee
95
1
0
13 Jun 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
M. Tellamekala
Shahin Amiriparian
Björn W. Schuller
Elisabeth André
T. Giesbrecht
Michel Valstar
313
42
0
12 Jun 2022
Improving the Adversarial Robustness of NLP Models by Information Bottleneck
Findings (Findings), 2022
Ce Zhang
Xiang Zhou
Yixin Wan
Xiaoqing Zheng
Kai-Wei Chang
Cho-Jui Hsieh
152
32
0
11 Jun 2022
Soft Adversarial Training Can Retain Natural Accuracy
International Conference on Agents and Artificial Intelligence (ICAART), 2022
Abhijith Sharma
Apurva Narayan
AAML
61
2
0
04 Jun 2022
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