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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

Jeff Clune

Papers citing "Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"

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Title
LoD: Loss-difference OOD Detection by Intentionally Label-Noisifying Unlabeled Wild DataInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Chuanxing Geng Qifei Li Xinrui Wang Dong Liang Songcan Chen Pong C. Yuen 305 1 0 19 May 2025
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep LearningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Ju Yeon Kang J. Yoon Semin Kim Min Hyun Han Nam Soo Kim 210 0 0 22 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization Yifan Ding Xixi Liu Jonas Unger Gabriel Eilertsen OODD 318 1 0 15 Apr 2025
QAVA: Query-Agnostic Visual Attack to Large Vision-Language ModelsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2025 Yudong Zhang Ruobing Xie Jiansheng Chen Xingwu Sun Zhanhui Kang Yu Wang AAML 215 3 0 15 Apr 2025
Evolutionary Machine Learning meets Self-Supervised Learning: a comprehensive survey Adriano Vinhas João Correia Penousal Machado SSL SyDa 408 0 0 09 Apr 2025
A moving target in AI-assisted decision-making: Dataset shift, model updating, and the problem of update opacityEthics and Information Technology (EIT), 2025 Joshua Hatherley AAML 234 3 0 07 Apr 2025
EOOD: Entropy-based Out-of-distribution Detection Guide Yang Chao Hou Weilong Peng Xiang Fang Yongwei Nie Peican Zhu Keke Tang OODD 404 0 0 04 Apr 2025
VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow Ada Gorgun Bernt Schiele Jonas Fischer 198 1 0 28 Mar 2025
The case for delegated AI autonomy for Human AI teaming in healthcare Yan Jia Harriet Evans Zoe Porter S. Graham John McDermid T. Lawton David R. J. Snead Ibrahim Habli 232 2 0 24 Mar 2025
MetaSel: A Test Selection Approach for Fine-tuned DNN ModelsIEEE Transactions on Software Engineering (TSE), 2025 Amin Abbasishahkoo Mahboubeh Dadkhah Lionel C. Briand Dayi Lin 418 0 0 21 Mar 2025
Bayesian generative models can flag performance loss, bias, and out-of-distribution image content Miguel López-Pérez M. Miani Valery Naranjo Søren Hauberg Aasa Feragen OOD MedIm 298 0 0 21 Mar 2025
RAT: Boosting Misclassification Detection Ability without Extra Data Ge Yan Tsui-Wei Weng AAML 293 0 0 18 Mar 2025
On Local Posterior Structure in Deep EnsemblesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2025 Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 334 0 0 17 Mar 2025
Understanding the Trade-offs in Accuracy and Uncertainty Quantification: Architecture and Inference Choices in Bayesian Neural Networks Alisa Sheinkman Sara Wade UQCV BDL 345 0 0 14 Mar 2025
OODD: Test-time Out-of-Distribution Detection with Dynamic DictionaryComputer Vision and Pattern Recognition (CVPR), 2025 Yifeng Yang Lin Zhu Zewen Sun Hengyu Liu Qinying Gu Nanyang Ye OODD 289 2 0 13 Mar 2025
Robustness Tokens: Towards Adversarial Robustness of TransformersEuropean Conference on Computer Vision (ECCV), 2025 Brian Pulfer Yury Belousov S. Voloshynovskiy AAML 222 0 0 13 Mar 2025
Out-of-Distribution Segmentation in Autonomous Driving: Problems and State of the Art Youssef Shoeb Azarm Nowzad Hanno Gottschalk UQCV 556 6 0 04 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 335 0 0 01 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature LeveragingComputer Vision and Pattern Recognition (CVPR), 2025 Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 424 2 0 01 Mar 2025
1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem Marius F. R. Juston William R. Norris William R. Norris Dustin Nottage A. Soylemezoglu 304 1 0 28 Feb 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 512 0 0 27 Feb 2025
Weakly Supervised Pixel-Level Annotation with Visual Interpretability Basma Nasir Tehseen Zia Muhammad Nawaz Catarina Moreira FAtt 351 0 0 25 Feb 2025
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels Ayana Moshruba Shay Snyder Hamed Poursiami Maryam Parsa AAML 255 5 0 25 Feb 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 411 1 0 24 Feb 2025
Detecting OOD Samples via Optimal Transport Scoring FunctionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025 Heng Gao Zhuolin He Jian Pu OODD 129 0 0 22 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection Gianluca Guglielmo Marc Masana OODD 258 1 0 18 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin OODD 547 4 0 05 Feb 2025
Killing it with Zero-Shot: Adversarially Robust Novelty DetectionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024 Hossein Mirzaei Mohammad Jafari Hamid Reza Dehbashi Zeinab Sadat Taghavi Mohammad Sabokrou M. Rohban 297 4 0 28 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory ApproachInternational Conference on Learning Representations (ICLR), 2025 Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 866 0 0 20 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 930 0 0 14 Jan 2025
Hierarchical Light Transformer Ensembles for Multimodal Trajectory ForecastingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Adrien Lafage Mathieu Barbier Gianni Franchi David Filliat 392 7 0 08 Jan 2025
Distribution Shifts at Scale: Out-of-distribution Detection in Earth Observation Burak Ekim G. Tadesse Caleb Robinson G. Q. Hacheme Michael Schmitt Rahul Dodhia J. L. Ferres OODD 453 6 0 18 Dec 2024
Open-World Panoptic Segmentation Matteo Sodano Federico Magistri Jens Behley Cyrill Stachniss VLM 313 2 0 17 Dec 2024
Mining In-distribution Attributes in Outliers for Out-of-distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2024 Yutian Lei Luping Ji Pei Liu OODD 253 2 0 16 Dec 2024
Defending Collaborative Filtering Recommenders via Adversarial Robustness Based Edge Reweighting Yongyu Wang AAML 223 0 0 14 Dec 2024
Active Learning via Classifier Impact and Greedy Selection for Interactive Image Retrieval Leah Bar Boaz Lerner N. Darshan Rami Ben-Ari VLM 228 2 0 03 Dec 2024
R.I.P.: A Simple Black-box Attack on Continual Test-time Adaptation Trung-Hieu Hoang D. Vo Minh N. Do TTA AAML 375 0 0 02 Dec 2024
Convolutional Neural Networks Do Work with Pre-Defined FiltersIEEE International Joint Conference on Neural Network (IJCNN), 2023 C. Linse Erhardt Barth T. Martinetz 260 5 0 27 Nov 2024
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial AttacksComputer Vision and Pattern Recognition (CVPR), 2024 Peng Xie Yequan Bie Jianda Mao Yangqiu Song Yang Wang Hao Chen Kani Chen AAML 344 7 0 24 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 361 1 0 22 Nov 2024
Variational Bayesian Bow tie Neural Networks with Shrinkage Alisa Sheinkman Sara Wade BDL UQCV 344 0 0 17 Nov 2024
Image-based Outlier Synthesis With Training Data Sudarshan Regmi OODD 462 2 0 16 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 849 6 0 10 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution DetectionNeural Information Processing Systems (NeurIPS), 2024 Geng Yu Jianing Zhu Jiangchao Yao Bo Han OODD 210 13 0 05 Nov 2024
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection Jingyao Geng Yuan Zhang Jiaqi Huang Feng Xue Falong Tan Chuanlong Xie Shumei Zhang OODD 215 1 0 03 Nov 2024
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 339 1 0 30 Oct 2024
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers Lam Nguyen Tung Steven Cho Xiaoning Du Neelofar Neelofar Valerio Terragni Stefano Ruberto Aldeida Aleti 1.1K 2 0 30 Oct 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 205 1 0 29 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Yabin Zhang Guang Dai VLM OODD 217 14 0 26 Oct 2024
What If the Input is Expanded in OOD Detection?Neural Information Processing Systems (NeurIPS), 2024 Boxuan Zhang Jianing Zhu Zengmao Wang Tongliang Liu Bo Du Bo Han AAML OODD 339 7 0 24 Oct 2024