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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
Do Bayesian Variational Autoencoders Know What They Don't Know?
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349
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Yan Zhu
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224
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In and Out-of-Domain Text Adversarial Robustness via Label Smoothing
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Soham Dan
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271
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Fast Entropy-Based Methods of Word-Level Confidence Estimation for End-To-End Automatic Speech Recognition
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Stéphane Herbin
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177
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Spurious Features Everywhere -- Large-Scale Detection of Harmful Spurious Features in ImageNet
IEEE International Conference on Computer Vision (ICCV), 2022
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Maximilian Augustin
Valentyn Boreiko
Matthias Hein
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299
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Fairify: Fairness Verification of Neural Networks
International Conference on Software Engineering (ICSE), 2022
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Hridesh Rajan
217
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Block Selection Method for Using Feature Norm in Out-of-distribution Detection
Computer Vision and Pattern Recognition (CVPR), 2022
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Sungho Shin
Seongju Lee
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334
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YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
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A. Baras
Satoru Koda
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227
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Lei Shang
Mou-Yue Huang
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142
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Extreme Image Transformations Affect Humans and Machines Differently
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Dakarai Crowder
E. Mingolla
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244
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155
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279
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178
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Mısra Yavuz
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203
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Hieu M. Le
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280
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Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection
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179
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PartCom: Part Composition Learning for 3D Open-Set Recognition
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153
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Data-Centric Debugging: mitigating model failures via targeted data collection
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Atoosa Malemir Chegini
Mazda Moayeri
Soheil Feiz
222
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17 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
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Ahmad Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
249
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17 Nov 2022
Efficiently Finding Adversarial Examples with DNN Preprocessing
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Mohammad Afzal
Hrishikesh Karmarkar
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Guy Katz
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160
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16 Nov 2022
Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction
Conference on Robot Learning (CoRL), 2022
Masha Itkina
Mykel J. Kochenderfer
EDL
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282
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16 Nov 2022
Heatmap-based Out-of-Distribution Detection
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Vasileios Belagiannis
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163
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QuerySnout: Automating the Discovery of Attribute Inference Attacks against Query-Based Systems
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Ana-Maria Cretu
F. Houssiau
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175
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Understanding the properties and limitations of contrastive learning for Out-of-Distribution detection
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Raúl Santos-Rodríguez
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172
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PAGE: Prototype-Based Model-Level Explanations for Graph Neural Networks
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Won-Yong Shin
183
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31 Oct 2022
LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise
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He Tang
Lin Wan
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226
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27 Oct 2022
Watermarking for Out-of-distribution Detection
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Yifan Zhang
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Chen Gong
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OODD
170
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Improving Adversarial Robustness with Self-Paced Hard-Class Pair Reweighting
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Jie Han
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199
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GFlowOut: Dropout with Generative Flow Networks
International Conference on Machine Learning (ICML), 2022
Dianbo Liu
Moksh Jain
Bonaventure F. P. Dossou
Qianli Shen
Salem Lahlou
...
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N. Hassen
Xu Ji
Kenji Kawaguchi
Yoshua Bengio
UQCV
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272
27
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On double-descent in uncertainty quantification in overparametrized models
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Lucas Clarté
Bruno Loureiro
Florent Krzakala
Lenka Zdeborová
UQCV
456
14
0
23 Oct 2022
Augmentation by Counterfactual Explanation -- Fixing an Overconfident Classifier
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Sumedha Singla
Nihal Murali
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Sofia Triantafyllou
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220
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Exiting the Simulation: The Road to Robust and Resilient Autonomous Vehicles at Scale
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152
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Packed-Ensembles for Efficient Uncertainty Estimation
International Conference on Learning Representations (ICLR), 2022
Olivier Laurent
Adrien Lafage
Enzo Tartaglione
Geoffrey Daniel
Jean-Marc Martinez
Andrei Bursuc
Gianni Franchi
OODD
462
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17 Oct 2022
The Open-World Lottery Ticket Hypothesis for OOD Intent Classification
International Conference on Language Resources and Evaluation (LREC), 2022
Yunhua Zhou
Pengyu Wang
Peiju Liu
Yuxin Wang
Xipeng Qiu
324
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Microscopy is All You Need
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Ayana Ghosh
Kevin M. Roccapriore
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159
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Robust Models are less Over-Confident
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J. Keuper
Margret Keuper
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258
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Detect, Distill and Update: Learned DB Systems Facing Out of Distribution Data
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Peter Triantafillou
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206
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Trustworthy clinical AI solutions: a unified review of uncertainty quantification in deep learning models for medical image analysis
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A. Tucholka
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M. Dojat
258
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Random Weight Factorization Improves the Training of Continuous Neural Representations
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Jacob H. Seidman
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263
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Decompiling x86 Deep Neural Network Executables
USENIX Security Symposium (USENIX Security), 2022
Zhibo Liu
Yuanyuan Yuan
Shuai Wang
Xiaofei Xie
Lei Ma
AAML
307
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03 Oct 2022
Out-of-Distribution Detection and Selective Generation for Conditional Language Models
International Conference on Learning Representations (ICLR), 2022
Jie Jessie Ren
Jiaming Luo
Yao-Min Zhao
Kundan Krishna
Mohammad Saleh
Balaji Lakshminarayanan
Peter J. Liu
OODD
347
161
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Leveraging variational autoencoders for multiple data imputation
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J. Wells
S. Wade
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117
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Hebbian Deep Learning Without Feedback
International Conference on Learning Representations (ICLR), 2022
Adrien Journé
Hector Garcia Rodriguez
Qinghai Guo
Timoleon Moraitis
AAML
280
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23 Sep 2022
Leveraging Local Patch Differences in Multi-Object Scenes for Generative Adversarial Attacks
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Abhishek Aich
Shasha Li
Chengyu Song
M. Salman Asif
S. Krishnamurthy
Amit K. Roy-Chowdhury
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271
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Extremely Simple Activation Shaping for Out-of-Distribution Detection
International Conference on Learning Representations (ICLR), 2022
Andrija Djurisic
Nebojsa Bozanic
Arjun Ashok
Rosanne Liu
OODD
412
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GAMA: Generative Adversarial Multi-Object Scene Attacks
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Abhishek Aich
Calvin-Khang Ta
Akash Gupta
Chengyu Song
S. Krishnamurthy
M. Salman Asif
Amit K. Roy-Chowdhury
AAML
300
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