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

5 December 2014

Jeff Clune

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

50 / 1,399 papers shown

Title
FADEL: Uncertainty-aware Fake Audio Detection with Evidential Deep Learning Ju Yeon Kang J. Yoon Semin Kim Min Hyun Han Nam Soo Kim 32 0 0 22 Apr 2025
Enhancing Out-of-Distribution Detection with Extended Logit Normalization Yifan Ding Xixi Liu Jonas Unger Gabriel Eilertsen OODD 28 0 0 15 Apr 2025
QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models Yudong Zhang Ruobing Xie Jiansheng Chen Xingchen Sun Zhanhui Kang Yu Wang AAML 36 0 0 15 Apr 2025
Evolutionary algorithms meet self-supervised learning: a comprehensive survey Adriano Vinhas João Correia Penousal Machado SSL SyDa 64 0 0 09 Apr 2025
A moving target in AI-assisted decision-making: Dataset shift, model updating, and the problem of update opacity Joshua Hatherley AAML 32 1 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 57 0 0 04 Apr 2025
VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow Ada Gorgun Bernt Schiele Jonas Fischer 41 0 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 63 0 0 24 Mar 2025
MetaSel: A Test Selection Approach for Fine-tuned DNN Models Amin Abbasishahkoo Mahboubeh Dadkhah Lionel C. Briand Dayi Lin 49 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 59 0 0 21 Mar 2025
RAT: Boosting Misclassification Detection Ability without Extra Data Ge Yan Tsui-Wei Weng AAML 95 0 0 18 Mar 2025
On Local Posterior Structure in Deep Ensembles Mikkel Jordahn Jonas Vestergaard Jensen Mikkel N. Schmidt Michael Riis Andersen UQCV BDL OOD 70 0 0 17 Mar 2025
The Architecture and Evaluation of Bayesian Neural Networks Alisa Sheinkman Sara Wade UQCV BDL 72 0 0 14 Mar 2025
OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary Yifeng Yang Lin Zhu Zewen Sun Hengyu Liu Qinying Gu Nanyang Ye OODD 55 0 0 13 Mar 2025
Robustness Tokens: Towards Adversarial Robustness of Transformers Brian Pulfer Yury Belousov S. Voloshynovskiy AAML 45 0 0 13 Mar 2025
A Guide to Failure in Machine Learning: Reliability and Robustness from Foundations to Practice Eric Heim Oren Wright David Shriver OOD FaML 68 0 0 01 Mar 2025
CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging Zhiwei Ling Yachen Chang Hailiang Zhao Xinkui Zhao Kingsum Chow Shuiguang Deng OODD 65 0 0 01 Mar 2025
1-Lipschitz Network Initialization for Certifiably Robust Classification Applications: A Decay Problem Marius F. R. Juston William R. Norris Dustin Nottage A. Soylemezoglu 41 0 0 28 Feb 2025
HALO: Robust Out-of-Distribution Detection via Joint Optimisation Hugo Lyons Keenan S. Erfani Christopher Leckie OODD 212 0 0 27 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 71 2 0 25 Feb 2025
Weakly Supervised Pixel-Level Annotation with Visual Interpretability Basma Nasir Tehseen Zia Muhammad Nawaz Catarina Moreira FAtt 87 0 0 25 Feb 2025
Logit Disagreement: OoD Detection with Bayesian Neural Networks Kevin Raina UQCV BDL UD PER 66 0 0 24 Feb 2025
Detecting OOD Samples via Optimal Transport Scoring Function Heng Gao Zhuolin He Jian Pu OODD 42 0 0 22 Feb 2025
Leveraging Intermediate Representations for Better Out-of-Distribution Detection Gianluca Guglielmo Marc Masana OODD 68 0 0 18 Feb 2025
Out-of-Distribution Detection using Synthetic Data Generation Momin Abbas Muneeza Azmat R. Horesh Mikhail Yurochkin 47 1 0 05 Feb 2025
Killing it with Zero-Shot: Adversarially Robust Novelty Detection Hossein Mirzaei Mohammad Jafari Hamid Reza Dehbashi Zeinab Sadat Taghavi Mohammad Sabokrou M. Rohban 77 1 0 28 Jan 2025
Provably Safeguarding a Classifier from OOD and Adversarial Samples: an Extreme Value Theory Approach Nicolas Atienza Christophe Labreuche Johanne Cohen Michele Sebag OODD AAML 194 0 0 20 Jan 2025
Can Bayesian Neural Networks Explicitly Model Input Uncertainty? Matias Valdenegro-Toro Marco Zullich BDL PER UQCV UD 244 0 0 14 Jan 2025
Hierarchical Light Transformer Ensembles for Multimodal Trajectory Forecasting Adrien Lafage Mathieu Barbier Gianni Franchi David Filliat 45 3 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 105 1 0 18 Dec 2024
Open-World Panoptic Segmentation Matteo Sodano Federico Magistri Jens Behley Cyrill Stachniss VLM 81 0 0 17 Dec 2024
Mining In-distribution Attributes in Outliers for Out-of-distribution Detection Yutian Lei Luping Ji Pei Liu OODD 86 0 0 16 Dec 2024
Improving Graph Neural Networks via Adversarial Robustness Evaluation Yongyu Wang AAML 67 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 80 1 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 94 0 0 02 Dec 2024
Convolutional Neural Networks Do Work with Pre-Defined Filters C. Linse Erhardt Barth T. Martinetz 92 5 0 27 Nov 2024
Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks Peng Xie Yequan Bie Jianda Mao Yangqiu Song Yang Wang Hao Chen Kani Chen AAML 74 1 0 24 Nov 2024
PaRCE: Probabilistic and Reconstruction-based Competency Estimation for CNN-based Image Classification Sara Pohland Claire Tomlin UQCV 76 1 0 22 Nov 2024
Variational Bayesian Bow tie Neural Networks with Shrinkage Alisa Sheinkman Sara Wade BDL UQCV 48 0 0 17 Nov 2024
Going Beyond Conventional OOD Detection Sudarshan Regmi OODD 63 1 0 16 Nov 2024
Deep Active Learning in the Open World Tian Xie Jifan Zhang Haoyue Bai R. Nowak VLM 199 1 0 10 Nov 2024
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection Geng Yu Jianing Zhu Jiangchao Yao Bo Han OODD 51 0 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 43 0 0 03 Nov 2024
ELBOing Stein: Variational Bayes with Stein Mixture Inference Ola Rønning Eric T. Nalisnick Christophe Ley Padhraic Smyth Thomas Hamelryck BDL 52 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 201 2 0 30 Oct 2024
CausAdv: A Causal-based Framework for Detecting Adversarial Examples Hichem Debbi CML AAML 44 1 0 29 Oct 2024
AdaNeg: Adaptive Negative Proxy Guided OOD Detection with Vision-Language Models Yabin Zhang Lefei Zhang VLM OODD 35 2 0 26 Oct 2024
What If the Input is Expanded in OOD Detection? Boxuan Zhang Jianing Zhu Zengmao Wang Tongliang Liu Bo Du Bo Han AAML OODD 34 0 0 24 Oct 2024
Leaky ReLUs That Differ in Forward and Backward Pass Facilitate Activation Maximization in Deep Neural Networks C. Linse Erhardt Barth Thomas Martinetz 42 0 0 22 Oct 2024
Towards Reliable Verification of Unauthorized Data Usage in Personalized Text-to-Image Diffusion Models Boheng Li Yanhao Wei Yankai Fu Ziyi Wang Yiming Li Jie Zhang Run Wang Tianwei Zhang DiffM AAML 27 9 0 14 Oct 2024