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"

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Title
On the Importance of Gradients for Detecting Distributional Shifts in the Wild Rui Huang Andrew Geng Yixuan Li 197 333 0 01 Oct 2021
Learning to Predict Trustworthiness with Steep Slope Loss Yan Luo Yongkang Wong Mohan S. Kankanhalli Qi Zhao 21 12 0 30 Sep 2021
Can multi-label classification networks know what they don't know? Haoran Wang Weitang Liu Alex E. Bocchieri Yixuan Li OODD 48 125 0 29 Sep 2021
A novel network training approach for open set image recognition Md Tahmid Hossaina S. Teng Guojun Lu Ferdous Sohel 26 0 0 27 Sep 2021
Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using Multi-view Inconsistency Sohaib Kiani S. Awan Chao Lan Fengjun Li Bo Luo GAN AAML 28 7 0 25 Sep 2021
Targeted Attack on Deep RL-based Autonomous Driving with Learned Visual Patterns Prasanth Buddareddygari Travis Zhang Yezhou Yang Yi Ren AAML 37 13 0 16 Sep 2021
The State of the Art when using GPUs in Devising Image Generation Methods Using Deep Learning Yasuko Kawahata 31 0 0 13 Sep 2021
On the Impact of Spurious Correlation for Out-of-distribution Detection Yifei Ming Hang Yin Yixuan Li OODD 156 74 0 12 Sep 2021
No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets Fahim Tajwar Ananya Kumar Sang Michael Xie Percy Liang OODD 27 21 0 12 Sep 2021
Detecting and Mitigating Test-time Failure Risks via Model-agnostic Uncertainty Learning Preethi Lahoti Krishna P. Gummadi Gerhard Weikum 34 3 0 09 Sep 2021
IFBiD: Inference-Free Bias Detection Ignacio Serna Daniel DeAlcala Aythami Morales Julian Fierrez J. Ortega-Garcia CVBM 39 11 0 09 Sep 2021
Training Deep Networks from Zero to Hero: avoiding pitfalls and going beyond M. Ponti Fernando Pereira dos Santos Leo Sampaio Ferraz Ribeiro G. B. Cavallari 33 15 0 06 Sep 2021
Spatio-Temporal Perturbations for Video Attribution Zhenqiang Li Weimin Wang Zuoyue Li Yifei Huang Yoichi Sato 25 6 0 01 Sep 2021
DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning Hossein Rajaby Faghihi Quan Guo Andrzej Uszok Aliakbar Nafar Elaheh Raisi Parisa Kordjamshidi AI4CE 25 17 0 27 Aug 2021
Revealing the Distributional Vulnerability of Discriminators by Implicit Generators Zhilin Zhao LongBing Cao Kun-Yu Lin 39 11 0 23 Aug 2021
Learning-to-learn non-convex piecewise-Lipschitz functions Maria-Florina Balcan M. Khodak Dravyansh Sharma Ameet Talwalkar 36 13 0 19 Aug 2021
A Survey on Open Set Recognition Atefeh Mahdavi Marco M. Carvalho BDL 29 35 0 18 Aug 2021
A Sparse Coding Interpretation of Neural Networks and Theoretical Implications Joshua Bowren FAtt 37 1 0 14 Aug 2021
Optical Adversarial Attack Abhiram Gnanasambandam A. Sherman Stanley H. Chan AAML 35 65 0 13 Aug 2021
CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue Keke Tang Dingruibo Miao Weilong Peng Jianpeng Wu Yawen Shi Zhaoquan Gu Zhihong Tian Wenping Wang OODD 148 30 0 13 Aug 2021
Existence, Stability and Scalability of Orthogonal Convolutional Neural Networks El Mehdi Achour Franccois Malgouyres Franck Mamalet 25 21 0 12 Aug 2021
WideCaps: A Wide Attention based Capsule Network for Image Classification Pawan S. Jogi R. Sharma Hemantha Reddy M. Vani Jeny Rajan 42 1 0 08 Aug 2021
Monte Carlo DropBlock for Modelling Uncertainty in Object Detection K. Deepshikha Sai Harsha Yelleni P. K. Srijith C.Krishna Mohan BDL UQCV 29 88 0 08 Aug 2021
Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation Victor Besnier Andrei Bursuc David Picard Alexandre Briot UQCV 29 48 0 03 Aug 2021
Robust Semantic Segmentation with Superpixel-Mix Gianni Franchi Nacim Belkhir Mai Lan Ha Yufei Hu Andrei Bursuc V. Blanz Angela Yao UQCV 40 22 0 02 Aug 2021
Structure and Performance of Fully Connected Neural Networks: Emerging Complex Network Properties Leonardo F. S. Scabini Odemir M. Bruno GNN 16 52 0 29 Jul 2021
Resisting Out-of-Distribution Data Problem in Perturbation of XAI Luyu Qiu Yi Yang Caleb Chen Cao Jing Liu Yueyuan Zheng H. Ngai J. H. Hsiao Lei Chen 19 18 0 27 Jul 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration Yezhen Wang Yue Liu Tong Che Kaiyang Zhou Ziwei Liu Dongsheng Li UQCV 22 47 0 27 Jul 2021
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models Zhiliang Wu Yinchong Yang Peter A. Fasching Volker Tresp BDL 21 10 0 26 Jul 2021
Improving Variational Autoencoder based Out-of-Distribution Detection for Embedded Real-time Applications Yeli Feng Daniel Jun Xian Ng Arvind Easwaran OODD 38 17 0 25 Jul 2021
An Uncertainty-Aware Deep Learning Framework for Defect Detection in Casting Products Maryam Habibpour Hassan Gharoun AmirReza Tajally Afshar Shamsi Jokandan Hamzeh Asgharnezhad Abbas Khosravi S. Nahavandi UQCV 37 13 0 24 Jul 2021
CogSense: A Cognitively Inspired Framework for Perception Adaptation Hyukseong Kwon Amir M. Rahimi Kevin G. Lee Amit Agarwal Rajan Bhattacharyya 13 0 0 22 Jul 2021
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 66 1,115 0 07 Jul 2021
Rethinking Positional Encoding Jianqiao Zheng Sameera Ramasinghe Simon Lucey 27 51 0 06 Jul 2021
Dealing with Adversarial Player Strategies in the Neural Network Game iNNk through Ensemble Learning Mathias Löwe Jennifer Villareale Evan Freed Aleksanteri Sladek Jichen Zhu S. Risi AAML 36 5 0 05 Jul 2021
Pool of Experts: Realtime Querying Specialized Knowledge in Massive Neural Networks Hakbin Kim Dong-Wan Choi 35 2 0 03 Jul 2021
Backward-Compatible Prediction Updates: A Probabilistic Approach Frederik Trauble Julius von Kügelgen Matthäus Kleindessner Francesco Locatello Bernhard Schölkopf Peter V. Gehler 51 16 0 02 Jul 2021
Local Reweighting for Adversarial Training Ruize Gao Feng Liu Kaiwen Zhou Gang Niu Bo Han James Cheng AAML OOD 25 6 0 30 Jun 2021
CLIPDraw: Exploring Text-to-Drawing Synthesis through Language-Image Encoders Kevin Frans Lisa Soros Olaf Witkowski CLIP 37 206 0 28 Jun 2021
Inverting and Understanding Object Detectors Ang Cao Justin Johnson ObjD 33 3 0 26 Jun 2021
EARLIN: Early Out-of-Distribution Detection for Resource-efficient Collaborative Inference Sumaiya Tabassum Nimi Md. Adnan Arefeen M. Y. S. Uddin Yugyung Lee OODD FedML 14 1 0 25 Jun 2021
How Well do Feature Visualizations Support Causal Understanding of CNN Activations? Roland S. Zimmermann Judy Borowski Robert Geirhos Matthias Bethge Thomas S. A. Wallis Wieland Brendel FAtt 49 31 0 23 Jun 2021
Adversarial Training Helps Transfer Learning via Better Representations Zhun Deng Linjun Zhang Kailas Vodrahalli Kenji Kawaguchi James Zou GAN 36 54 0 18 Jun 2021
Being a Bit Frequentist Improves Bayesian Neural Networks Agustinus Kristiadi Matthias Hein Philipp Hennig BDL UQCV 23 15 0 18 Jun 2021
Gradual Domain Adaptation via Self-Training of Auxiliary Models Yabin Zhang Bin Deng Kui Jia Lei Zhang CLL 28 10 0 18 Jun 2021
Explainable AI for Natural Adversarial Images Tomas Folke Zhaobin Li Ravi B. Sojitra Scott Cheng-Hsin Yang Patrick Shafto AAML FAtt 27 4 0 16 Jun 2021
Robust Out-of-Distribution Detection on Deep Probabilistic Generative Models Jaemoo Choi Changyeon Yoon Jeongwoo Bae Myung-joo Kang OODD 35 4 0 15 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 13 23 0 11 Jun 2021
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm Mingkang Zhu Tianlong Chen Zhangyang Wang AAML 22 20 0 10 Jun 2021
Deep neural network loses attention to adversarial images Shashank Kotyan Danilo Vasconcellos Vargas AAML GAN 16 4 0 10 Jun 2021