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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
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Lior Wolf
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297
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Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning
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Yongtao Liu
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155
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Hanqi Wang
Xiaoguang Zhu
Tao Chen
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Liang Song
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178
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30 May 2022
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
International Conference on Machine Learning (ICML), 2022
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Lorenzo Noci
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275
11
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How explainable are adversarially-robust CNNs?
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Lars Kotthoff
Peijie Chen
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212
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Runa Eschenhagen
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225
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20 May 2022
Mitigating Neural Network Overconfidence with Logit Normalization
International Conference on Machine Learning (ICML), 2022
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Renchunzi Xie
Hao-Ran Cheng
Lei Feng
Bo An
Shouqing Yang
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597
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19 May 2022
Trading Positional Complexity vs. Deepness in Coordinate Networks
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Jianqiao Zheng
Sameera Ramasinghe
Xueqian Li
Simon Lucey
203
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Norm-Scaling for Out-of-Distribution Detection
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79
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Multimodal Detection of Unknown Objects on Roads for Autonomous Driving
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2022
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Enrico Eisen
Maximilian Nitsche
Christin Scheib
J. Marius Zöllner
302
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03 May 2022
Simple Techniques Work Surprisingly Well for Neural Network Test Prioritization and Active Learning (Replicability Study)
International Symposium on Software Testing and Analysis (ISSTA), 2022
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Paolo Tonella
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285
62
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A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness
Journal of machine learning research (JMLR), 2022
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Shreyas Padhy
Jie Jessie Ren
Zi Lin
Yeming Wen
Ghassen Jerfel
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Jasper Snoek
Dustin Tran
Balaji Lakshminarayanan
UQCV
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483
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01 May 2022
Optimizing One-pixel Black-box Adversarial Attacks
Tianxun Zhou
Shubhanka Agrawal
Prateek Manocha
AAML
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103
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30 Apr 2022
A Closer Look at Branch Classifiers of Multi-exit Architectures
Computer Vision and Image Understanding (CVIU), 2022
Shaohui Lin
Bo Ji
Rongrong Ji
Angela Yao
187
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28 Apr 2022
Adversarial Fine-tune with Dynamically Regulated Adversary
IEEE International Joint Conference on Neural Network (IJCNN), 2022
Peng-Fei Hou
Ming Zhou
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Petr Musílek
Xingyu Li
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124
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Learning by Erasing: Conditional Entropy based Transferable Out-Of-Distribution Detection
AAAI Conference on Artificial Intelligence (AAAI), 2022
Meng Xing
Zhiyong Feng
Yong Su
Changjae Oh
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183
4
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Exploring Hidden Semantics in Neural Networks with Symbolic Regression
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Yuanzhen Luo
Qiang Lu
Xilei Hu
Jake Luo
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120
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22 Apr 2022
Patch-wise Contrastive Style Learning for Instagram Filter Removal
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B. Özcan
Mustafa Furkan Kıraç
183
7
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15 Apr 2022
Out-of-Distribution Detection with Deep Nearest Neighbors
International Conference on Machine Learning (ICML), 2022
Yiyou Sun
Yifei Ming
Xiaojin Zhu
Shouqing Yang
OODD
568
680
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13 Apr 2022
Is my Driver Observation Model Overconfident? Input-guided Calibration Networks for Reliable and Interpretable Confidence Estimates
Alina Roitberg
Kunyu Peng
David Schneider
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Marios Koulakis
Manuel Martínez
Rainer Stiefelhagen
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146
9
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Core Risk Minimization using Salient ImageNet
Sahil Singla
Mazda Moayeri
Soheil Feizi
279
15
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28 Mar 2022
A Systematic Survey of Attack Detection and Prevention in Connected and Autonomous Vehicles
Vehicular Communications (Veh. Commun.), 2022
Trupil Limbasiya
Ko Zheng Teng
Sudipta Chattopadhyay
Jianying Zhou
168
59
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27 Mar 2022
Learning Confidence for Transformer-based Neural Machine Translation
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Yu Lu
Jiali Zeng
Jiajun Zhang
Shuangzhi Wu
Mu Li
187
9
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22 Mar 2022
Unsupervised Diffusion and Volume Maximization-Based Clustering of Hyperspectral Images
Remote Sensing (RS), 2022
Sam L. Polk
Kangning Cui
Aland H. Y. Chan
David A. Coomes
R. Plemmons
James M. Murphy
DiffM
246
13
0
18 Mar 2022
Visualizing Global Explanations of Point Cloud DNNs
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Hanxiao Tan
3DPC
193
12
0
17 Mar 2022
Confidence Calibration for Intent Detection via Hyperspherical Space and Rebalanced Accuracy-Uncertainty Loss
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Yantao Gong
Cao Liu
Fan Yang
Xunliang Cai
Guanglu Wan
Jiansong Chen
Weipeng Zhang
Houfeng Wang
UQCV
169
4
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A Continual Learning Framework for Adaptive Defect Classification and Inspection
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Wenbo Sun
Raed Al Kontar
Judy Jin
Tzyy-Shuh Chang
121
11
0
16 Mar 2022
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space
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Rajat Koner
Karsten Roscher
Stephan Günnemann
OODD
129
8
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16 Mar 2022
Towards understanding deep learning with the natural clustering prior
Simon Carbonnelle
177
0
0
15 Mar 2022
Learning Discriminative Representations and Decision Boundaries for Open Intent Detection
IEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2022
Hanlei Zhang
Huan Xu
Shaojie Zhao
Qianrui Zhou
228
28
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11 Mar 2022
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
Network and Distributed System Security Symposium (NDSS), 2022
H. Abdullah
Aditya Karlekar
S. Prasad
Muhammad Sajidur Rahman
Logan Blue
L. A. Bauer
Vincent Bindschaedler
Patrick Traynor
AAML
147
4
0
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Practical No-box Adversarial Attacks with Training-free Hybrid Image Transformation
Qilong Zhang
Chaoning Zhang
Chaoning Zhang
Chaoqun Li
Xuanhan Wang
Jingkuan Song
Lianli Gao
AAML
357
21
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09 Mar 2022
How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?
International Conference on Learning Representations (ICLR), 2022
Yifei Ming
Yiyou Sun
Ousmane Amadou Dia
Shouqing Yang
OODD
427
129
0
08 Mar 2022
Estimating the Uncertainty in Emotion Class Labels with Utterance-Specific Dirichlet Priors
IEEE Transactions on Affective Computing (IEEE TAC), 2022
Wen Wu
Chuxu Zhang
Xixin Wu
P. Woodland
293
17
0
08 Mar 2022
Adversarial Texture for Fooling Person Detectors in the Physical World
Computer Vision and Pattern Recognition (CVPR), 2022
Zhan Hu
Siyuan Huang
Xiaopei Zhu
Gang Hua
Bo Zhang
Xiaolin Hu
AAML
296
144
0
07 Mar 2022
Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection
Computer Vision and Pattern Recognition (CVPR), 2022
Yibo Zhou
OODD
301
80
0
04 Mar 2022
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks
ACM Transactions on Privacy and Security (TOPS), 2022
Dmitrii Usynin
Daniel Rueckert
Georgios Kaissis
SILM
AAML
139
24
0
01 Mar 2022
Understanding the Challenges When 3D Semantic Segmentation Faces Class Imbalanced and OOD Data
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Fan Xie
Huijing Zhao
CVBM
270
13
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Testing Deep Learning Models: A First Comparative Study of Multiple Testing Techniques
International Conference on Software Testing, Verification and Validation Workshops (ICST), 2022
M. K. Ahuja
A. Gotlieb
Helge Spieker
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139
4
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Fine-grained TLS services classification with reject option
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T. Čejka
125
41
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Calibrated Learning to Defer with One-vs-All Classifiers
International Conference on Machine Learning (ICML), 2022
Rajeev Verma
Eric Nalisnick
227
63
0
08 Feb 2022
Attacking c-MARL More Effectively: A Data Driven Approach
Industrial Conference on Data Mining (IDM), 2022
Nhan H. Pham
Lam M. Nguyen
Jie Chen
Hoang Thanh Lam
Subhro Das
Tsui-Wei Weng
AAML
274
3
0
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Training OOD Detectors in their Natural Habitats
International Conference on Machine Learning (ICML), 2022
Julian Katz-Samuels
Julia B. Nakhleh
Robert D. Nowak
Shouqing Yang
OODD
238
104
0
07 Feb 2022
Nonparametric Uncertainty Quantification for Single Deterministic Neural Network
Neural Information Processing Systems (NeurIPS), 2022
Nikita Kotelevskii
A. Artemenkov
Kirill Fedyanin
Fedor Noskov
Alexander Fishkov
Artem Shelmanov
Artem Vazhentsev
Aleksandr Petiushko
Maxim Panov
UQCV
BDL
181
42
0
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Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets
International Conference on Machine Learning (ICML), 2022
Guy Hacohen
Avihu Dekel
D. Weinshall
460
152
0
06 Feb 2022
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks
International Conference on Machine Learning (ICML), 2022
Lukas Struppek
Dominik Hintersdorf
Antonio De Almeida Correia
Antonia Adler
Kristian Kersting
MIACV
392
81
0
28 Jan 2022
Variational Model Inversion Attacks
Neural Information Processing Systems (NeurIPS), 2022
Kuan-Chieh Wang
Yanzhe Fu
Ke Li
Ashish Khisti
R. Zemel
Alireza Makhzani
MIACV
203
122
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26 Jan 2022
Self-Supervised Anomaly Detection by Self-Distillation and Negative Sampling
International Conference on Artificial Neural Networks (ICANN), 2022
Nima Rafiee
Rahil Gholamipoorfard
Tim Kaiser
Simon Jaxy
Julius Ramakers
M. Kollmann
OODD
143
9
0
17 Jan 2022
Robust uncertainty estimates with out-of-distribution pseudo-inputs training
Pierre Segonne
Yevgen Zainchkovskyy
Søren Hauberg
UQCV
OOD
114
1
0
15 Jan 2022
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics
International Journal of Information Security (JIS), 2022
Haya Brama
L. Dery
Tal Grinshpoun
AAML
176
9
0
10 Jan 2022
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