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
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation Nikhil Kapoor Andreas Bär Serin Varghese Jan David Schneider Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 37 10 0 02 Dec 2020
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images Philipp Terhörst Daniel Fahrmann Jan Niklas Kolf Naser Damer Florian Kirchbuchner Arjan Kuijper CVBM 26 37 0 02 Dec 2020
Incorporating Hidden Layer representation into Adversarial Attacks and Defences Haojing Shen Sihong Chen Ran Wang Xizhao Wang AAML 24 0 0 28 Nov 2020
Nudge Attacks on Point-Cloud DNNs Yiren Zhao Ilia Shumailov Robert D. Mullins Ross J. Anderson 3DPC AAML 6 8 0 22 Nov 2020
Contextual Interference Reduction by Selective Fine-Tuning of Neural Networks Mahdi Biparva John K. Tsotsos DRL 29 0 0 21 Nov 2020
Robustified Domain Adaptation Jiajin Zhang Hanqing Chao Pingkun Yan 22 4 0 18 Nov 2020
Out-of-Distribution Detection for Automotive Perception Julia Nitsch Masha Itkina Ransalu Senanayake Juan I. Nieto M. Schmidt Roland Siegwart Mykel J. Kochenderfer Cesar Cadena UQCV 28 63 0 03 Nov 2020
Focus on the present: a regularization method for the ASR source-target attention layer Nanxin Chen Piotr Żelasko Jesús Villalba Najim Dehak 23 3 0 02 Nov 2020
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms Rui Zhao AAML 36 1 0 02 Nov 2020
All-Weather Object Recognition Using Radar and Infrared Sensing Marcel Sheeny 38 1 0 30 Oct 2020
Capture the Bot: Using Adversarial Examples to Improve CAPTCHA Robustness to Bot Attacks Dorjan Hitaj Briland Hitaj S. Jajodia L. Mancini AAML 14 17 0 30 Oct 2020
Bayesian Deep Learning via Subnetwork Inference Erik A. Daxberger Eric T. Nalisnick J. Allingham Javier Antorán José Miguel Hernández-Lobato UQCV BDL 36 85 0 28 Oct 2020
Multiscale Score Matching for Out-of-Distribution Detection Ahsan Mahmood Junier Oliva M. Styner OODD 32 30 0 25 Oct 2020
Exemplary Natural Images Explain CNN Activations Better than State-of-the-Art Feature Visualization Judy Borowski Roland S. Zimmermann Judith Schepers Robert Geirhos Thomas S. A. Wallis Matthias Bethge Wieland Brendel FAtt 47 7 0 23 Oct 2020
Deep Neural Mobile Networking Chaoyun Zhang 37 1 0 23 Oct 2020
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks Ruize Gao Feng Liu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Masashi Sugiyama AAML 24 54 0 22 Oct 2020
Failure Prediction by Confidence Estimation of Uncertainty-Aware Dirichlet Networks Theodoros Tsiligkaridis UQCV 22 7 0 19 Oct 2020
Stationary Activations for Uncertainty Calibration in Deep Learning Lassi Meronen Christabella Irwanto Arno Solin UQCV BDL 14 18 0 19 Oct 2020
Characterizing and Taming Model Instability Across Edge Devices Eyal Cidon Evgenya Pergament Zain Asgar Asaf Cidon Sachin Katti 34 7 0 18 Oct 2020
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN Yilin Shen Wenhu Chen Hongxia Jin UQCV BDL 24 5 0 16 Oct 2020
Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark Bhusan Chettri Emmanouil Benetos Bob L. T. Sturm 39 27 0 15 Oct 2020
Human-interpretable model explainability on high-dimensional data Damien de Mijolla Christopher Frye M. Kunesch J. Mansir Ilya Feige FAtt 25 8 0 14 Oct 2020
Modulation Pattern Detection Using Complex Convolutions in Deep Learning J. Krzyston R. Bhattacharjea A. Stark 21 6 0 14 Oct 2020
Scenic: A Language for Scenario Specification and Data Generation Daniel J. Fremont Edward J. Kim T. Dreossi Shromona Ghosh Xiangyu Yue Alberto L. Sangiovanni-Vincentelli Sanjit A. Seshia 29 98 0 13 Oct 2020
Learning to Attack with Fewer Pixels: A Probabilistic Post-hoc Framework for Refining Arbitrary Dense Adversarial Attacks He Zhao Thanh-Tuan Nguyen Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 29 2 0 13 Oct 2020
EFSG: Evolutionary Fooling Sentences Generator Marco Di Giovanni Marco Brambilla AAML 35 3 0 12 Oct 2020
Diagnosing and Preventing Instabilities in Recurrent Video Processing T. Tanay Aivar Sootla Matteo Maggioni P. Dokania Philip Torr A. Leonardis Greg Slabaugh 32 7 0 10 Oct 2020
Tuning Convolutional Spiking Neural Network with Biologically-plausible Reward Propagation Tielin Zhang Shuncheng Jia Xiang Cheng Bo Xu 36 48 0 09 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera FaML 24 172 0 08 Oct 2020
Energy-based Out-of-distribution Detection Weitang Liu Xiaoyun Wang John Douglas Owens Yixuan Li OODD 119 1,319 0 08 Oct 2020
Finite Meta-Dynamic Neurons in Spiking Neural Networks for Spatio-temporal Learning Xiang Cheng Tielin Zhang Shuncheng Jia Bo Xu AI4CE 41 14 0 07 Oct 2020
From Language Games to Drawing Games Chrisantha Fernando D. Zenkova Stanislav Nikolov Simon Osindero 16 4 0 06 Oct 2020
Learnable Uncertainty under Laplace Approximations Agustinus Kristiadi Matthias Hein Philipp Hennig UQCV BDL 22 30 0 06 Oct 2020
An Infinite-Feature Extension for Bayesian ReLU Nets That Fixes Their Asymptotic Overconfidence Agustinus Kristiadi Matthias Hein Philipp Hennig BDL 26 9 0 06 Oct 2020
A framework for predicting, interpreting, and improving Learning Outcomes Chintan Donda Sayantani Dasgupta S. Dhavala Keyur Faldu Aditi Avasthi 10 4 0 06 Oct 2020
Astraea: Grammar-based Fairness Testing E. Soremekun Sakshi Udeshi Sudipta Chattopadhyay 31 28 0 06 Oct 2020
Geometry-aware Instance-reweighted Adversarial Training Jingfeng Zhang Jianing Zhu Gang Niu Bo Han Masashi Sugiyama Mohan Kankanhalli AAML 49 270 0 05 Oct 2020
Explainability via Responsibility Faraz Khadivpour Matthew J. Guzdial 12 2 0 04 Oct 2020
A Geometry-Inspired Attack for Generating Natural Language Adversarial Examples Zhao Meng Roger Wattenhofer GAN AAML 35 32 0 03 Oct 2020
Query complexity of adversarial attacks Grzegorz Gluch R. Urbanke AAML 32 5 0 02 Oct 2020
Bag of Tricks for Adversarial Training Tianyu Pang Xiao Yang Yinpeng Dong Hang Su Jun Zhu AAML 28 263 0 01 Oct 2020
Spatial Attention as an Interface for Image Captioning Models P. Sadler 33 0 0 29 Sep 2020
Geometric Disentanglement by Random Convex Polytopes M. Joswig M. Kaluba Lukas Ruff 30 3 0 29 Sep 2020
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations A. Wong Mukund Mundhra Stefano Soatto AAML 25 27 0 21 Sep 2020
Regularizing Attention Networks for Anomaly Detection in Visual Question Answering Doyup Lee Yeongjae Cheon Wook-Shin Han AAML OOD 16 16 0 21 Sep 2020
Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization K. Nikolaidis Stein Kristiansen T. Plagemann V. Goebel Knut Liestøl ... G. Traaen Britt Overland Harriet Akre L. Aakerøy S. Steinshamn 8 4 0 21 Sep 2020
NeuroDiff: Scalable Differential Verification of Neural Networks using Fine-Grained Approximation Brandon Paulsen Jingbo Wang Jiawei Wang Chao Wang 32 36 0 21 Sep 2020
Improving Robustness and Generality of NLP Models Using Disentangled Representations Jiawei Wu Xiaoya Li Xiang Ao Yuxian Meng Fei Wu Jiwei Li OOD DRL 16 11 0 21 Sep 2020
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles Xiaoyong Yuan Lei Ding Lan Zhang Xiaolin Li D. Wu 27 40 0 21 Sep 2020
An Algorithm for Out-Of-Distribution Attack to Neural Network Encoder Liang Liang Linhai Ma Linchen Qian Jiasong Chen OODD 22 2 0 17 Sep 2020