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Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

Computer Vision and Pattern Recognition (CVPR), 2014

5 December 2014

Jeff Clune

Papers citing "Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"

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Enhancing The Reliability of Out-of-distribution Image Detection in Neural NetworksInternational Conference on Learning Representations (ICLR), 2017 Shiyu Liang Shouqing Yang R. Srikant UQCV OODD 979 2,294 0 08 Jun 2017
Deep learning evaluation using deep linguistic processing A. Kuhnle Ann A. Copestake ELM 169 11 0 05 Jun 2017
Towards Robust Detection of Adversarial Examples Tianyu Pang Chao Du Yinpeng Dong Jun Zhu AAML 128 19 0 02 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 281 88 0 29 May 2017
Techniques for visualizing LSTMs applied to electrocardiograms J. Westhuizen Joan Lasenby AI4TS 149 5 0 23 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 469 1,459 0 18 May 2017
Quality and Diversity Optimization: A Unifying Modular Framework Antoine Cully Y. Demiris 171 298 0 12 May 2017
Feedback Techniques in Computer-Based Simulation Training: A Survey S. Wijewickrema Jiabo He James Bailey G. Kennedy S. O'Leary 41 1 0 12 May 2017
Negative Results in Computer Vision: A Perspective Ali Borji 160 37 0 11 May 2017
DeepCorrect: Correcting DNN models against Image Distortions Tejas S. Borkar Lina Karam 485 102 0 05 May 2017
Maximum Resilience of Artificial Neural Networks Chih-Hong Cheng Georg Nührenberg Harald Ruess AAML 365 296 0 28 Apr 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 380 842 0 28 Apr 2017
Deep Text Classification Can be Fooled Bin Liang Hongcheng Li Miaoqiang Su Pan Bian Xirong Li Wenchang Shi AAML 175 438 0 26 Apr 2017
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System Joost Huizinga Kenneth O. Stanley Jeff Clune 128 22 0 17 Apr 2017
Adversarial and Clean Data Are Not Twins Zhitao Gong Wenlu Wang Wei-Shinn Ku AAML 110 164 0 17 Apr 2017
ShapeWorld - A new test methodology for multimodal language understanding A. Kuhnle Ann A. Copestake 130 73 0 14 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 583 1,609 0 11 Apr 2017
Enhancing Robustness of Machine Learning Systems via Data Transformations A. Bhagoji Daniel Cullina Chawin Sitawarin Prateek Mittal AAML 188 242 0 09 Apr 2017
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks Yi Han Benjamin I. P. Rubinstein SILM AAML 141 6 0 06 Apr 2017
Comment on "Biologically inspired protection of deep networks from adversarial attacks" Wieland Brendel Matthias Bethge AAML 148 34 0 05 Apr 2017
On the Relation between Color Image Denoising and Classification Jiqing Wu Radu Timofte Zhiwu Huang Luc Van Gool 117 14 0 05 Apr 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 208 1,487 0 04 Apr 2017
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly Jiajun Lu Theerasit Issaranon David A. Forsyth GAN 282 394 0 01 Apr 2017
Adversarial Transformation Networks: Learning to Generate Adversarial Examples S. Baluja Ian S. Fischer GAN 202 300 0 28 Mar 2017
Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille GAN AAML 288 995 0 24 Mar 2017
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations N. Cheney Martin Schrimpf Gabriel Kreiman OOD 114 44 0 23 Mar 2017
Self corrective Perturbations for Semantic Segmentation and Classification S. Sankaranarayanan Arpit Jain Ser Nam Lim 61 0 0 23 Mar 2017
Deep generative-contrastive networks for facial expression recognition Youngsung Kim ByungIn Yoo Youngjun Kwak Changkyu Choi Junmo Kim CVBM 153 95 0 21 Mar 2017
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images Hossein Hosseini Baicen Xiao Mayoore S. Jaiswal Radha Poovendran 201 131 0 20 Mar 2017
Using Human Brain Activity to Guide Machine Learning Ruth C. Fong Walter J. Scheirer David D. Cox 3DH 178 100 0 16 Mar 2017
Deep learning with convolutional neural networks for EEG decoding and visualization Robin Tibor Schirrmeister Jost Tobias Springenberg Lukas Dominique Josef Fiederer Martin Glasstetter Katharina Eggensperger Michael Tangermann Frank Hutter Wolfram Burgard Tonio Ball 384 2,621 0 15 Mar 2017
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems Hossein Hosseini Yize Chen Sreeram Kannan Baosen Zhang Radha Poovendran AAML 144 109 0 13 Mar 2017
Improving Interpretability of Deep Neural Networks with Semantic Information Yinpeng Dong Hang Su Jun Zhu Bo Zhang 178 130 0 12 Mar 2017
Sample-level Deep Convolutional Neural Networks for Music Auto-tagging Using Raw Waveforms Jongpil Lee Jiyoung Park Keunhyoung Luke Kim Juhan Nam 204 199 0 06 Mar 2017
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components T. Dreossi Alexandre Donzé Sanjit A. Seshia AAML 231 242 0 02 Mar 2017
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 302 233 0 24 Feb 2017
How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV Klaas Kelchtermans Tinne Tuytelaars 98 37 0 24 Feb 2017
Robustness to Adversarial Examples through an Ensemble of SpecialistsInternational Conference on Learning Representations (ICLR), 2017 Mahdieh Abbasi Christian Gagné AAML 254 109 0 22 Feb 2017
Adversarial examples for generative models Jernej Kos Ian S. Fischer Basel Alomair GAN 171 282 0 22 Feb 2017
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel AAML 201 745 0 21 Feb 2017
An oracle-based attack on CAPTCHAs protected against oracle attacks Carlos Javier Hernández-Castro M. Rodríguez-Moreno David F. Barrero Shujun Li AAML 43 1 0 13 Feb 2017
Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted IlluminationAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2017 Adam Gaier A. Asteroth Jean-Baptiste Mouret 177 50 0 13 Feb 2017
Deep Neural Networks - A Brief History K. Cios HAI AI4CE 41 15 0 19 Jan 2017
Attention Allocation Aid for Visual SearchInternational Conference on Human Factors in Computing Systems (CHI), 2017 Arturo Deza J. R. Peters Grant S. Taylor A. Surana Miguel P. Eckstein 57 11 0 14 Jan 2017
Dense Associative Memory is Robust to Adversarial InputsNeural Computation (Neural Comput.), 2017 Dmitry Krotov J. Hopfield AAML 135 123 0 04 Jan 2017
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 319 596 0 24 Dec 2016
A Base Camp for Scaling AI C. Burges Ted Hart Zi Yang Silviu Cucerzan Ryen W. White A. Pastusiak J. Lewis LRM 101 2 0 23 Dec 2016
Adversarial Examples Detection in Deep Networks with Convolutional Filter StatisticsIEEE International Conference on Computer Vision (ICCV), 2016 Xin Li Fuxin Li GAN AAML 252 382 0 22 Dec 2016
Microstructure Representation and Reconstruction of Heterogeneous Materials via Deep Belief Network for Computational Material Design Ruijin Cang Yaopengxiao Xu Shaohua Chen Yongming Liu Yang Jiao Max Yi Ren AI4CE 3DV 224 171 0 22 Dec 2016
Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks Memo Akten M. Grierson 62 0 0 14 Dec 2016