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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
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Papers citing
"Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"
50 / 1,455 papers shown
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI
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K. Danouchi
G. Prenat
L. Anghel
M. Tahoori
170
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11 Jan 2024
Data-Dependent Stability Analysis of Adversarial Training
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Shuang Liu
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244
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06 Jan 2024
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization
European Conference on Computer Vision (ECCV), 2024
Xixu Hu
Runkai Zheng
Yongfeng Zhang
Cheuk Hang Leung
Qi Wu
Xing Xie
283
5
0
02 Jan 2024
Natural Adversarial Patch Generation Method Based on Latent Diffusion Model
Xianyi Chen
Fazhan Liu
Dong Jiang
Kai Yan
AAML
DiffM
219
2
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27 Dec 2023
Superpixel-based and Spatially-regularized Diffusion Learning for Unsupervised Hyperspectral Image Clustering
Kangning Cui
R. Li
Sam L. Polk
Yinyi Lin
Hongsheng Zhang
James M. Murphy
R. Plemmons
Raymond H. Chan
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231
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24 Dec 2023
Bridging AI and Clinical Practice: Integrating Automated Sleep Scoring Algorithm with Uncertainty-Guided Physician Review
M. Bechny
Giuliana Monachino
Luigi Fiorillo
J. van der Meer
Markus H. Schmidt
C. Bassetti
A. Tzovara
F. Faraci
151
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0
22 Dec 2023
SAME: Sample Reconstruction against Model Extraction Attacks
Yi Xie
Jie Zhang
Shiqian Zhao
Tianwei Zhang
Xiaofeng Chen
AAML
MIACV
439
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0
17 Dec 2023
Unveiling Empirical Pathologies of Laplace Approximation for Uncertainty Estimation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Maksim Zhdanov
Stanislav Dereka
Sergey Kolesnikov
102
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16 Dec 2023
Fast Decision Boundary based Out-of-Distribution Detector
International Conference on Machine Learning (ICML), 2023
Litian Liu
Yao Qin
OODD
367
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15 Dec 2023
Managing the unknown: a survey on Open Set Recognition and tangential areas
Marcos Barcina-Blanco
J. Lobo
Pablo Garcia-Bringas
Javier Del Ser
VLM
280
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14 Dec 2023
Dynamic Adversarial Attacks on Autonomous Driving Systems
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Chenan Wang
Abhishek S. Jeyapratap
Kaidi Xu
Lifeng Zhou
AAML
245
16
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10 Dec 2023
Neither hype nor gloom do DNNs justice
Behavioral and Brain Sciences (BBS), 2022
Gaurav Malhotra
Christian Tsvetkov
B. D. Evans
342
163
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08 Dec 2023
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System
Computers & security (CS), 2023
Xinwei Yuan
Shu Han
Wei Huang
Hongliang Ye
Xianglong Kong
Fan Zhang
AAML
188
48
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06 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection
Fan Lu
Kai Zhu
Kecheng Zheng
Wei Zhai
Xuemiao Xu
OODD
376
6
0
04 Dec 2023
CLIPDraw++: Text-to-Sketch Synthesis with Simple Primitives
Nityanand Mathur
Shyam Marjit
Abhra Chaudhuri
Anjan Dutta
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276
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04 Dec 2023
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations
Computer Vision and Pattern Recognition (CVPR), 2023
Maximilian Augustin
Yannic Neuhaus
Matthias Hein
DiffM
384
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29 Nov 2023
Deployment of a Robust and Explainable Mortality Prediction Model: The COVID-19 Pandemic and Beyond
Jacob R. Epifano
Stephen Glass
Ravichandran Ramachandran
Sharad Patel
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Ghulam Rasool
168
1
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28 Nov 2023
Scale-Dropout: Estimating Uncertainty in Deep Neural Networks Using Stochastic Scale
Soyed Tuhin Ahmed
K. Danouchi
Michael Hefenbrock
G. Prenat
L. Anghel
M. Tahoori
UQCV
BDL
206
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27 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Conference on Learning for Dynamics & Control (L4DC), 2023
Yatong Bai
Brendon G. Anderson
Somayeh Sojoudi
AAML
288
2
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26 Nov 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yue Song
Andrii Zadaianchuk
Wei Wang
OODD
313
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23 Nov 2023
Unified Classification and Rejection: A One-versus-All Framework
Machine Intelligence Research (MIR), 2023
Zhen Cheng
Xu-Yao Zhang
Cheng-Lin Liu
288
12
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22 Nov 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation
Zisheng Xu
Qiao Yan
Fei Yu
Azzedine Boukerche
AAML
205
1
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22 Nov 2023
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts
Shashank Kotyan
Danilo Vasconcellos Vargas
AAML
157
0
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16 Nov 2023
GAIA: Delving into Gradient-based Attribution Abnormality for Out-of-distribution Detection
Jinggang Chen
Junjie Li
Xiaoyang Qu
Jianzong Wang
Jiguang Wan
Jing Xiao
OODD
250
11
0
16 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning
Shashank Kotyan
Danilo Vasconcellos Vargas
AAML
207
0
0
14 Nov 2023
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Ahmad Rashid
Serena Hacker
Guojun Zhang
Agustinus Kristiadi
Pascal Poupart
OODD
222
0
0
07 Nov 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources
Neural Information Processing Systems (NeurIPS), 2023
Haotian Zheng
Qizhou Wang
Zhen Fang
Xiaobo Xia
Yifan Zhang
Tongliang Liu
Bo Han
456
39
0
06 Nov 2023
Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Hai T. Phan
Cindy X. Le
Vu Le
Yihui He
Anh Totti Nguyen
186
7
0
06 Nov 2023
Detecting Out-of-Distribution Through the Lens of Neural Collapse
Computer Vision and Pattern Recognition (CVPR), 2023
Litian Liu
Yao Qin
OODD
574
16
0
02 Nov 2023
Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks
Computer Methods in Applied Mechanics and Engineering (CMAME), 2023
Jaehong Chung
R. Ahmad
WaiChing Sun
Wei Cai
T. Mukerji
222
16
0
30 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness
Boya Zhang
Weijian Luo
Zhihua Zhang
232
16
0
28 Oct 2023
Classifier-head Informed Feature Masking and Prototype-based Logit Smoothing for Out-of-Distribution Detection
Zhuohao Sun
Yiqiao Qiu
Zhijun Tan
Weishi Zheng
Ruixuan Wang
OODD
234
8
0
27 Oct 2023
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR)
Neural Networks (Neural Netw.), 2023
Dong Qin
G. Amariucai
Daji Qiao
Yong Guan
Shen Fu
285
5
0
27 Oct 2023
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective
International Journal of Computer Vision (IJCV), 2023
Kun Fang
Qinghua Tao
Xiaolin Huang
Jie Yang
OODD
262
8
0
22 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation
Neural Information Processing Systems (NeurIPS), 2023
Jianing Zhu
Geng Yu
Jiangchao Yao
Tongliang Liu
Gang Niu
Masashi Sugiyama
Bo Han
OODD
274
40
0
21 Oct 2023
Enhancing Open-World Bacterial Raman Spectra Identification by Feature Regularization for Improved Resilience against Unknown Classes
Y. Balytskyi
Nataliia Kalashnyk
Inna Hubenko
A. Balytska
Kelly L McNear
AAML
182
3
0
19 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty
Shiyu Shen
Bin Pan
Tianyang Shi
Tao Li
Zhenwei Shi
UQCV
318
0
0
19 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection
International Conference on Information and Knowledge Management (CIKM), 2023
Zhihao Ding
Jieming Shi
Shiqi Shen
Xuequn Shang
Jiannong Cao
Zhipeng Wang
Zhi Gong
OODD
OOD
209
6
0
16 Oct 2023
Impact of Label Types on Training SWIN Models with Overhead Imagery
Ryan Ford
Kenneth Hutchison
Nicholas Felts
Benjamin Cheng
Jesse Lew
Kyle Jackson
219
0
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11 Oct 2023
GReAT: A Graph Regularized Adversarial Training Method
IEEE Access (IEEE Access), 2023
Samet Bayram
Kenneth Barner
OOD
AAML
212
3
0
09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection
IEEE International Conference on Computer Vision (ICCV), 2023
Jaewoo Park
Jacky Chen Long Chai
Jaeho Yoon
Andrew Beng Jin Teoh
OODD
270
18
0
09 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift
IEEE International Conference on Computer Vision (ICCV), 2023
Chaoqi Chen
Luyao Tang
Leitian Tao
Hong-Yu Zhou
Yue Huang
Xiaoguang Han
Yizhou Yu
OOD
283
15
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Improving classifier decision boundaries using nearest neighbors
Johannes Schneider
AAML
283
1
0
05 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Shawqi Al-Maliki
Adnan Qayyum
Hassan Ali
M. Abdallah
Junaid Qadir
D. Hoang
Dusit Niyato
Ala I. Al-Fuqaha
AAML
354
7
0
05 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably
International Conference on Learning Representations (ICLR), 2023
Katie Kang
Amrith Rajagopal Setlur
Claire Tomlin
Sergey Levine
213
0
0
02 Oct 2023
Counterfactual Image Generation for adversarially robust and interpretable Classifiers
Rafael Bischof
Florian Scheidegger
Michael A. Kraus
A. Malossi
AAML
222
2
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01 Oct 2023
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Zhuoran Yu
Manchen Wang
Yanbei Chen
Paolo Favaro
Davide Modolo
3DH
179
1
0
29 Sep 2023
Out-Of-Domain Unlabeled Data Improves Generalization
International Conference on Learning Representations (ICLR), 2023
Amir Saberi
Amir Najafi
Alireza Heidari
Mohammad Hosein Movasaghinia
Abolfazl Motahari
B. Khalaj
OOD
336
3
0
29 Sep 2023
Projected Randomized Smoothing for Certified Adversarial Robustness
Samuel Pfrommer
Brendon G. Anderson
Somayeh Sojoudi
AAML
221
17
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25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models
Neural Information Processing Systems (NeurIPS), 2023
Xuefeng Du
Yiyou Sun
Xiaojin Zhu
Shouqing Yang
314
86
0
23 Sep 2023
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