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
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing Max Sponner Julius Ott Lorenzo Servadei Bernd Waschneck Robert Wille Akash Kumar 23 2 0 11 Sep 2023
Combining pre-trained Vision Transformers and CIDER for Out Of Domain Detection Grégor Jouet Clément Duhart Francis Rousseaux Julio Laborde Cyril de Runz ViT 33 0 0 06 Sep 2023
Continual Evidential Deep Learning for Out-of-Distribution Detection Eduardo Aguilar Bogdan Raducanu Petia Radeva Joost van de Weijer OODD EDL 22 7 0 06 Sep 2023
Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification Jacopo Talpini Fabio Sartori Marco Savi 27 2 0 05 Sep 2023
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet Yunuo Xiong Shujuan Liu H. Xiong AAML 35 0 0 03 Sep 2023
Robust Point Cloud Processing through Positional Embedding Jianqiao Zheng Xueqian Li Sameera Ramasinghe Simon Lucey 3DPC 24 5 0 01 Sep 2023
Image Hijacks: Adversarial Images can Control Generative Models at Runtime Luke Bailey Euan Ong Stuart J. Russell Scott Emmons VLM MLLM 32 79 0 01 Sep 2023
Is it an i or an l: Test-time Adaptation of Text Line Recognition Models Debapriya Tula S. Paul Gagan Madan P. Garst R. Ingle Gaurav Aggarwal VLM 62 0 0 29 Aug 2023
Tackling Diverse Minorities in Imbalanced Classification Kwei-Herng Lai Daochen Zha Huiyuan Chen M. Bendre Yuzhong Chen Mahashweta Das Hao Yang Xia Hu 31 0 0 28 Aug 2023
Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? Andrea Corsini S. Yang OODD AAML 23 7 0 28 Aug 2023
Semi-Supervised Learning in the Few-Shot Zero-Shot Scenario Noam Fluss Guy Hacohen D. Weinshall 28 1 0 27 Aug 2023
CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No Hualiang Wang Yi Li Huifeng Yao Xuelong Li VLM OODD 40 97 0 23 Aug 2023
RankMixup: Ranking-Based Mixup Training for Network Calibration Jongyoun Noh Hyekang Park Junghyup Lee Bumsub Ham UQCV 27 9 0 23 Aug 2023
Exploring the Optimization Objective of One-Class Classification for Anomaly Detection Han Gao Huiyuan Luo Fei Shen Zheng-Wei Zhang 21 0 0 23 Aug 2023
Expecting The Unexpected: Towards Broad Out-Of-Distribution Detection Charles Guille-Escuret Pierre-Andre Noel Ioannis Mitliagkas David Vazquez João Monteiro OOD OODD 35 0 0 22 Aug 2023
From Global to Local: Multi-scale Out-of-distribution Detection Ji Zhang Lianli Gao Bingguang Hao Hao Huang Jingkuan Song H. Shen OODD 36 16 0 20 Aug 2023
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models Ruiyuan Gao Chenchen Zhao Lanqing Hong Q. Xu 42 16 0 15 Aug 2023
Defensive Perception: Estimation and Monitoring of Neural Network Performance under Deployment Hendrik Vogt Stefan A. Buehler Mark Schutera 13 0 0 11 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 25 5 0 07 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception Jiyoung Lee Seung Wook Kim Seunghyun Won Joonseok Lee Marzyeh Ghassemi James Thorne Jaeseok Choi O.-Kil Kwon Edward Choi 42 1 0 03 Aug 2023
Understanding Activation Patterns in Artificial Neural Networks by Exploring Stochastic Processes S. Lehmler Muhammad Saif-ur-Rehman Tobias Glasmachers Ioannis Iossifidis 27 0 0 01 Aug 2023
Learning to Generate Training Datasets for Robust Semantic Segmentation Marwane Hariat Olivier Laurent Rémi Kazmierczak Shihao Zhang Andrei Bursuc Angela Yao Gianni Franchi UQCV 21 2 0 01 Aug 2023
Doubly Robust Instance-Reweighted Adversarial Training Daouda Sow Sen-Fon Lin Zhangyang Wang Yitao Liang AAML OOD 33 2 0 01 Aug 2023
GradOrth: A Simple yet Efficient Out-of-Distribution Detection with Orthogonal Projection of Gradients Sima Behpour T. Doan Xin Li Wenbin He Liangke Gou Liu Ren OODD 43 13 0 01 Aug 2023
LUCID-GAN: Conditional Generative Models to Locate Unfairness Andres Algaba Carmen Mazijn Carina E. A. Prunkl J. Danckaert Vincent Ginis SyDa 42 1 0 28 Jul 2023
Confidence Estimation Using Unlabeled Data Chen Li Xiaoling Hu Chao Chen UQCV 23 9 0 19 Jul 2023
Adversarial Bayesian Augmentation for Single-Source Domain Generalization Sheng Cheng Tejas Gokhale Yezhou Yang OOD 34 14 0 18 Jul 2023
Scale Alone Does not Improve Mechanistic Interpretability in Vision Models Roland S. Zimmermann Thomas Klein Wieland Brendel 39 13 0 11 Jul 2023
Enhancing Adversarial Robustness via Score-Based Optimization Boya Zhang Weijian Luo Zhihua Zhang DiffM 34 13 0 10 Jul 2023
Fooling Contrastive Language-Image Pre-trained Models with CLIPMasterPrints Matthias Anton Freiberger Peter Kun Christian Igel A. Løvlie S. Risi VLM AAML 53 2 0 07 Jul 2023
When Does Confidence-Based Cascade Deferral Suffice? Wittawat Jitkrittum Neha Gupta A. Menon Harikrishna Narasimhan A. S. Rawat Surinder Kumar 27 18 0 06 Jul 2023
Physically Realizable Natural-Looking Clothing Textures Evade Person Detectors via 3D Modeling Zhan Hu Wen-Sheng Chu Xiaopei Zhu Hui Zhang Bo Zhang Xiaolin Hu 24 28 0 04 Jul 2023
Reliable AI: Does the Next Generation Require Quantum Computing? Aras Bacho Holger Boche Gitta Kutyniok 26 2 0 03 Jul 2023
Morse Neural Networks for Uncertainty Quantification Benoit Dherin Huiyi Hu Jie Jessie Ren Michael W. Dusenberry Balaji Lakshminarayanan UQCV AI4CE 29 4 0 02 Jul 2023
Evaluating Similitude and Robustness of Deep Image Denoising Models via Adversarial Attack Jie Ning Jiebao Sun Yao Li Zhichang Guo Wangmeng Zuo 11 6 0 28 Jun 2023
Robust Proxy: Improving Adversarial Robustness by Robust Proxy Learning Hong Joo Lee Yonghyun Ro AAML 36 3 0 27 Jun 2023
A Cosine Similarity-based Method for Out-of-Distribution Detection Nguyen Ngoc-Hieu Nguyen Hung-Quang The-Anh Ta Thanh Nguyen-Tang Khoa D. Doan Hoang Thanh-Tung OODD 24 2 0 23 Jun 2023
Anticipatory Thinking Challenges in Open Worlds: Risk Management Adam Amos-Binks Dustin Dannenhauer Leilani H. Gilpin 15 0 0 22 Jun 2023
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective Zeyuan Yin Eric P. Xing Zhiqiang Shen DD 22 65 0 22 Jun 2023
Conditional Generators for Limit Order Book Environments: Explainability, Challenges, and Robustness Andrea Coletta Joseph Jerome Rahul Savani Svitlana Vyetrenko 35 17 0 22 Jun 2023
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey Farhad Pourpanah Ali Etemad 33 4 0 22 Jun 2023
Towards a robust and reliable deep learning approach for detection of compact binary mergers in gravitational wave data S. Jadhav Mihir Shrivastava S. Mitra OOD 21 9 0 20 Jun 2023
Learn to Accumulate Evidence from All Training Samples: Theory and Practice Deepshikha Pandey Qi Yu EDL 35 16 0 19 Jun 2023
Collapsed Inference for Bayesian Deep Learning Zhe Zeng Mathias Niepert FedML BDL UQCV 47 9 0 16 Jun 2023
Unlocking Feature Visualization for Deeper Networks with MAgnitude Constrained Optimization Thomas Fel Thibaut Boissin Victor Boutin Agustin Picard Paul Novello ... Drew Linsley Tom Rousseau Rémi Cadène Laurent Gardes Thomas Serre FAtt 24 19 0 11 Jun 2023
Gradient-Informed Quality Diversity for the Illumination of Discrete Spaces Raphael Boige Guillaume Richard Jérémie Donà Thomas Pierrot Antoine Cully 22 5 0 08 Jun 2023
Open Set Relation Extraction via Unknown-Aware Training Jun Zhao Xin Zhao Wenyu Zhan Qi Zhang Tao Gui Zhongyu Wei Yunwen Chen Xiang Gao Xuanjing Huang 38 1 0 08 Jun 2023
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations Eli J. Laird Ayesh Madushanka E. Kraka Corey Clark 37 1 0 07 Jun 2023
Adversarial Sample Detection Through Neural Network Transport Dynamics Skander Karkar Patrick Gallinari A. Rakotomamonjy AAML 23 0 0 07 Jun 2023
Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability Jianing Zhu Hengzhuang Li Jiangchao Yao Tongliang Liu Jianliang Xu Bo Han OODD 48 12 0 06 Jun 2023