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 / 1,401 papers shown

Title
NeuSpin: Design of a Reliable Edge Neuromorphic System Based on Spintronics for Green AI Soyed Tuhin Ahmed K. Danouchi G. Prenat L. Anghel M. Tahoori 41 0 0 11 Jan 2024
Data-Dependent Stability Analysis of Adversarial Training Yihan Wang Shuang Liu Xiao-Shan Gao 36 3 0 06 Jan 2024
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization Xixu Hu Runkai Zheng Jindong Wang Cheuk Hang Leung Qi Wu Xing Xie 35 1 0 02 Jan 2024
Natural Adversarial Patch Generation Method Based on Latent Diffusion Model Xianyi Chen Fazhan Liu Dong Jiang Kai Yan AAML DiffM 33 1 0 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 DiffM 37 21 0 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 24 3 0 22 Dec 2023
SAME: Sample Reconstruction against Model Extraction Attacks Yi Xie Jie Zhang Shiqian Zhao Tianwei Zhang Xiaofeng Chen AAML MIACV 65 4 0 17 Dec 2023
Fast Decision Boundary based Out-of-Distribution Detector Litian Liu Yao Qin OODD 17 12 0 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 36 2 0 14 Dec 2023
Dynamic Adversarial Attacks on Autonomous Driving Systems Amirhosein Chahe Chenan Wang Abhishek S. Jeyapratap Kaidi Xu Lifeng Zhou AAML 24 6 0 10 Dec 2023
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 32 117 0 08 Dec 2023
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System Xinwei Yuan Shu Han Wei Huang Hongliang Ye Xianglong Kong Fan Zhang AAML 40 21 0 06 Dec 2023
CLIPDrawX: Primitive-based Explanations for Text Guided Sketch Synthesis Nityanand Mathur Shyam Marjit Abhra Chaudhuri Anjan Dutta CLIP 25 0 0 04 Dec 2023
Likelihood-Aware Semantic Alignment for Full-Spectrum Out-of-Distribution Detection Fan Lu Kai Zhu Kecheng Zheng Wei Zhai Xuemiao Xu OODD 155 4 0 04 Dec 2023
DiG-IN: Diffusion Guidance for Investigating Networks -- Uncovering Classifier Differences Neuron Visualisations and Visual Counterfactual Explanations Maximilian Augustin Yannic Neuhaus Matthias Hein DiffM 37 4 0 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 A. Masino Ghulam Rasool 20 0 0 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 31 7 0 27 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Yatong Bai Brendon G. Anderson Somayeh Sojoudi AAML 35 2 0 26 Nov 2023
RankFeat&RankWeight: Rank-1 Feature/Weight Removal for Out-of-distribution Detection Yue Song N. Sebe Wei Wang OODD 43 1 0 23 Nov 2023
Unified Classification and Rejection: A One-versus-All Framework Zhen Cheng Xu-Yao Zhang Cheng-Lin Liu 65 7 0 22 Nov 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation Zisheng Xu Qiao Yan Fei Yu Victor C.M. Leung AAML 29 1 0 22 Nov 2023
Towards Improving Robustness Against Common Corruptions using Mixture of Class Specific Experts Shashank Kotyan Danilo Vasconcellos Vargas AAML 23 0 0 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 25 9 0 16 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning Shashank Kotyan Danilo Vasconcellos Vargas AAML 17 0 0 14 Nov 2023
Preventing Arbitrarily High Confidence on Far-Away Data in Point-Estimated Discriminative Neural Networks Ahmad Rashid Serena Hacker Guojun Zhang Agustinus Kristiadi Pascal Poupart OODD 44 0 0 07 Nov 2023
Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources Haotian Zheng Qizhou Wang Zhen Fang Xiaobo Xia Feng Liu Tongliang Liu Bo Han 157 24 0 06 Nov 2023
Fast and Interpretable Face Identification for Out-Of-Distribution Data Using Vision Transformers Hai T. Phan Cindy X. Le Vu Le Yihui He Anh Totti Nguyen 28 3 0 06 Nov 2023
Detecting Out-of-Distribution Through the Lens of Neural Collapse Litian Liu Yao Qin OODD 45 5 0 02 Nov 2023
Prediction of Effective Elastic Moduli of Rocks using Graph Neural Networks Jaehong Chung R. Ahmad WaiChing Sun Wei Cai T. Mukerji 18 8 0 30 Oct 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness Boya Zhang Weijian Luo Zhihua Zhang 34 10 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 20 6 0 27 Oct 2023
A Comprehensive and Reliable Feature Attribution Method: Double-sided Remove and Reconstruct (DoRaR) Dong Qin G. Amariucai Daji Qiao Yong Guan Shen Fu 27 5 0 27 Oct 2023
Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective Kun Fang Qinghua Tao Xiaolin Huang Jie-jin Yang OODD 48 2 0 22 Oct 2023
Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation Jianing Zhu Geng Yu Jiangchao Yao Tongliang Liu Gang Niu Masashi Sugiyama Bo Han OODD 34 30 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 19 1 0 19 Oct 2023
Be Bayesian by Attachments to Catch More Uncertainty Shiyu Shen Bin Pan Tianyang Shi Tao Li Zhenwei Shi UQCV 37 0 0 19 Oct 2023
SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection Zhihao Ding Jieming Shi Shiqi Shen Xuequn Shang Jiannong Cao Zhipeng Wang Zhi Gong OODD OOD 42 4 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 40 0 0 11 Oct 2023
GReAT: A Graph Regularized Adversarial Training Method Samet Bayram Kenneth Barner OOD AAML 30 1 0 09 Oct 2023
Understanding the Feature Norm for Out-of-Distribution Detection Jaewoo Park Jacky Chen Long Chai Jaeho Yoon Andrew Beng Jin Teoh OODD 29 12 0 09 Oct 2023
Activate and Reject: Towards Safe Domain Generalization under Category Shift Chaoqi Chen Luyao Tang Leitian Tao Hong-Yu Zhou Yue Huang Xiaoguang Han Yizhou Yu OOD 34 10 0 07 Oct 2023
Improving classifier decision boundaries using nearest neighbors Johannes Schneider AAML 41 0 0 05 Oct 2023
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 34 3 0 05 Oct 2023
Deep Neural Networks Tend To Extrapolate Predictably Katie Kang Amrith Rajagopal Setlur Claire Tomlin Sergey Levine 31 0 0 02 Oct 2023
Counterfactual Image Generation for adversarially robust and interpretable Classifiers Rafael Bischof F. Scheidegger Michael A. Kraus A. Malossi AAML 32 2 0 01 Oct 2023
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation Zhuoran Yu Manchen Wang Yanbei Chen Paolo Favaro Davide Modolo 3DH 32 1 0 29 Sep 2023
Out-Of-Domain Unlabeled Data Improves Generalization Amir Saberi Amir Najafi Alireza Heidari Mohammad Hosein Movasaghinia Abolfazl Motahari B. Khalaj OOD 23 0 0 29 Sep 2023
Projected Randomized Smoothing for Certified Adversarial Robustness Samuel Pfrommer Brendon G. Anderson Somayeh Sojoudi AAML 29 16 0 25 Sep 2023
Dream the Impossible: Outlier Imagination with Diffusion Models Xuefeng Du Yiyou Sun Xiaojin Zhu Yixuan Li 33 54 0 23 Sep 2023
Spatial-frequency channels, shape bias, and adversarial robustness Ajay Subramanian E. Sizikova N. Majaj D. Pelli AAML 40 22 0 22 Sep 2023