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
NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee Minh Nhat Vu Truc D. T. Nguyen My T. Thai AAML 27 3 0 18 Sep 2022
Topological Structure Learning for Weakly-Supervised Out-of-Distribution Detection Rundong He Rong Li Zhongyi Han Yilong Yin 44 4 0 16 Sep 2022
GNNInterpreter: A Probabilistic Generative Model-Level Explanation for Graph Neural Networks Xiaoqi Wang Hang Shen 34 41 0 15 Sep 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense Bo Peng Bo Peng Jie Zhou Jianyue Xie Li Liu AAML 50 43 0 11 Sep 2022
Improving Robustness to Out-of-Distribution Data by Frequency-based Augmentation Koki Mukai Soichiro Kumano T. Yamasaki OODD OOD 23 10 0 06 Sep 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions Zhenyi Wang Li Shen Le Fang Qiuling Suo Dongling Zhan Tiehang Duan Mingchen Gao OOD CLL 24 15 0 03 Sep 2022
Identifying Out-of-Distribution Samples in Real-Time for Safety-Critical 2D Object Detection with Margin Entropy Loss Yannik Blei Nicolas Jourdan Nils Gählert OODD 24 3 0 01 Sep 2022
A Black-Box Attack on Optical Character Recognition Systems Samet Bayram Kenneth Barner AAML 28 5 0 30 Aug 2022
Bayesian Continual Learning via Spiking Neural Networks N. Skatchkovsky Hyeryung Jang Osvaldo Simeone BDL 38 17 0 29 Aug 2022
Confidence Estimation for Object Detection in Document Images Mélodie Boillet Christopher Kermorvant Thierry Paquet UQCV 24 6 0 29 Aug 2022
Neuromorphic Visual Scene Understanding with Resonator Networks Alpha Renner Lazar Supic Andreea Danielescu Giacomo Indiveri Bruno A. Olshausen Yulia Sandamirskaya Friedrich T. Sommer E. P. Frady 30 19 0 26 Aug 2022
Out-of-distribution Detection via Frequency-regularized Generative Models Mu Cai Yixuan Li OODD 24 31 0 18 Aug 2022
Enhancing Diffusion-Based Image Synthesis with Robust Classifier Guidance Bahjat Kawar Roy Ganz Michael Elad DiffM 29 38 0 18 Aug 2022
Safety Assessment for Autonomous Systems' Perception Capabilities J. Molloy John McDermid 37 4 0 17 Aug 2022
Counterfactual Supervision-based Information Bottleneck for Out-of-Distribution Generalization Bin Deng Kui Jia OOD 30 1 0 16 Aug 2022
A Review of the Convergence of 5G/6G Architecture and Deep Learning O. Odeyomi Olubiyi O. Akintade T. Olowu G. Záruba AILaw 3DV AI4TS 28 1 0 16 Aug 2022
Improved post-hoc probability calibration for out-of-domain MRI segmentation Cheng Ouyang Shuo Wang Cen Chen Zeju Li Wenjia Bai Bernhard Kainz Daniel Rueckert UQCV MedIm 21 4 0 04 Aug 2022
A New Kind of Adversarial Example Ali Borji AAML 34 1 0 04 Aug 2022
Gradient-based Uncertainty for Monocular Depth Estimation Julia Hornauer Vasileios Belagiannis UQCV 32 32 0 03 Aug 2022
Making the Best of Both Worlds: A Domain-Oriented Transformer for Unsupervised Domain Adaptation Wen-hui Ma Jinming Zhang Shuang Li Chi Harold Liu Yulin Wang Wei Li 26 14 0 02 Aug 2022
A knee cannot have lung disease: out-of-distribution detection with in-distribution voting using the medical example of chest X-ray classification Alessandro Wollek Theresa Willem Michael Ingrisch B. Sabel Tobias Lasser OOD 22 3 0 01 Aug 2022
XOOD: Extreme Value Based Out-Of-Distribution Detection For Image Classification Frej Berglind Haron Temam S. Mukhopadhyay K. Das Md Saiful Islam Sajol K. Sricharan Kumar Kallurupalli OODD 21 0 0 01 Aug 2022
Is current research on adversarial robustness addressing the right problem? Ali Borji OOD AAML 16 1 0 31 Jul 2022
Out-of-Distribution Detection with Semantic Mismatch under Masking Yijun Yang Ruiyuan Gao Qiang Xu OODD 32 27 0 31 Jul 2022
A Novel Data Augmentation Technique for Out-of-Distribution Sample Detection using Compounded Corruptions R. Hebbalaguppe Soumya Suvra Goshal Jatin Prakash H. Khadilkar Chetan Arora OODD 46 4 0 28 Jul 2022
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy Giang Nguyen Mohammad Reza Taesiri Anh Totti Nguyen 30 42 0 26 Jul 2022
3DOS: Towards 3D Open Set Learning -- Benchmarking and Understanding Semantic Novelty Detection on Point Clouds A. Alliegro Francesco Cappio Borlino Tatiana Tommasi 3DPC 3DV 42 7 0 23 Jul 2022
Do Perceptually Aligned Gradients Imply Adversarial Robustness? Roy Ganz Bahjat Kawar Michael Elad AAML 27 9 0 22 Jul 2022
TRUST-LAPSE: An Explainable and Actionable Mistrust Scoring Framework for Model Monitoring Nandita Bhaskhar D. Rubin Christopher Lee-Messer 23 5 0 22 Jul 2022
Difficulty-Aware Simulator for Open Set Recognition WonJun Moon Junho Park Hyun Seok Seong Cheol-Ho Cho Jae-Pil Heo 29 31 0 20 Jul 2022
Tailoring Self-Supervision for Supervised Learning WonJun Moon Ji-Hwan Kim Jae-Pil Heo SSL 27 10 0 20 Jul 2022
Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot 44 1 0 18 Jul 2022
A Simple Test-Time Method for Out-of-Distribution Detection Ke Fan Yikai Wang Qian Yu Da Li Yanwei Fu OODD 55 8 0 17 Jul 2022
PIAT: Physics Informed Adversarial Training for Solving Partial Differential Equations S. Shekarpaz Mohammad Azizmalayeri M. Rohban 31 4 0 14 Jul 2022
A Baseline for Detecting Out-of-Distribution Examples in Image Captioning Gabi Shalev Gal-Lev Shalev Joseph Keshet OODD 29 7 0 12 Jul 2022
Calibrate to Interpret Gregory Scafarto N. Posocco Antoine Bonnefoy FaML 16 3 0 07 Jul 2022
Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting Byeonggeun Kim Seunghan Yang Inseop Chung Simyung Chang 22 14 0 28 Jun 2022
POEM: Out-of-Distribution Detection with Posterior Sampling Yifei Ming Ying Fan Yixuan Li OODD 42 114 0 28 Jun 2022
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI Leilani H. Gilpin Andrew R. Paley M. A. Alam Sarah Spurlock Kristian J. Hammond XAI 39 6 0 27 Jun 2022
WeShort: Out-of-distribution Detection With Weak Shortcut structure Jin-Siang Lin OODD 27 0 0 23 Jun 2022
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities Julian Bitterwolf Alexander Meinke Maximilian Augustin Matthias Hein OODD 21 25 0 20 Jun 2022
Multiple Testing Framework for Out-of-Distribution Detection A. Magesh V. Veeravalli Anirban Roy Susmit Jha OODD 44 5 0 20 Jun 2022
READ: Aggregating Reconstruction Error into Out-of-distribution Detection Wenyu Jiang Yuxin Ge Hao Cheng Mingcai Chen Shuai Feng Chongjun Wang OODD 29 11 0 15 Jun 2022
Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack Ruize Gao Jiongxiao Wang Kaiwen Zhou Feng Liu Binghui Xie Gang Niu Bo Han James Cheng AAML 26 14 0 15 Jun 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions Rui Zhang Song Guo Junxiao Wang Xin Xie Dacheng Tao 35 36 0 15 Jun 2022
EnergyMatch: Energy-based Pseudo-Labeling for Semi-Supervised Learning Zhuliang Yu Yin Li Yong Jae Lee 14 0 0 13 Jun 2022
COLD Fusion: Calibrated and Ordinal Latent Distribution Fusion for Uncertainty-Aware Multimodal Emotion Recognition M. Tellamekala Shahin Amiriparian Björn W. Schuller Elisabeth André T. Giesbrecht M. Valstar 33 25 0 12 Jun 2022
Improving the Adversarial Robustness of NLP Models by Information Bottleneck Ce Zhang Xiang Zhou Yixin Wan Xiaoqing Zheng Kai-Wei Chang Cho-Jui Hsieh 27 25 0 11 Jun 2022
Soft Adversarial Training Can Retain Natural Accuracy Abhijith Sharma Apurva Narayan AAML 14 2 0 04 Jun 2022
Optimizing Relevance Maps of Vision Transformers Improves Robustness Hila Chefer Idan Schwartz Lior Wolf ViT 45 38 0 02 Jun 2022