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
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 37 82 0 29 May 2017
Techniques for visualizing LSTMs applied to electrocardiograms J. Westhuizen Joan Lasenby AI4TS 11 5 0 23 May 2017
DeepXplore: Automated Whitebox Testing of Deep Learning Systems Kexin Pei Yinzhi Cao Junfeng Yang Suman Jana AAML 48 1,352 0 18 May 2017
Quality and Diversity Optimization: A Unifying Modular Framework Antoine Cully Y. Demiris 4 264 0 12 May 2017
Feedback Techniques in Computer-Based Simulation Training: A Survey S. Wijewickrema Xingjun Ma James Bailey G. Kennedy S. O'Leary 11 0 0 12 May 2017
Negative Results in Computer Vision: A Perspective Ali Borji 22 36 0 11 May 2017
DeepCorrect: Correcting DNN models against Image Distortions Tejas S. Borkar Lina Karam 24 93 0 05 May 2017
Maximum Resilience of Artificial Neural Networks Chih-Hong Cheng Georg Nührenberg Harald Ruess AAML 27 281 0 28 Apr 2017
Parseval Networks: Improving Robustness to Adversarial Examples Moustapha Cissé Piotr Bojanowski Edouard Grave Yann N. Dauphin Nicolas Usunier AAML 86 798 0 28 Apr 2017
Deep Text Classification Can be Fooled Bin Liang Hongcheng Li Miaoqiang Su Pan Bian Xirong Li Wenchang Shi AAML 30 420 0 26 Apr 2017
The Emergence of Canalization and Evolvability in an Open-Ended, Interactive Evolutionary System Joost Huizinga Kenneth O. Stanley Jeff Clune 6 20 0 17 Apr 2017
Adversarial and Clean Data Are Not Twins Zhitao Gong Wenlu Wang Wei-Shinn Ku AAML 21 156 0 17 Apr 2017
ShapeWorld - A new test methodology for multimodal language understanding A. Kuhnle Ann A. Copestake 30 66 0 14 Apr 2017
Interpretable Explanations of Black Boxes by Meaningful Perturbation Ruth C. Fong Andrea Vedaldi FAtt AAML 11 1,508 0 11 Apr 2017
Enhancing Robustness of Machine Learning Systems via Data Transformations A. Bhagoji Daniel Cullina Chawin Sitawarin Prateek Mittal AAML 12 231 0 09 Apr 2017
Adequacy of the Gradient-Descent Method for Classifier Evasion Attacks Yi Han Benjamin I. P. Rubinstein SILM AAML 17 6 0 06 Apr 2017
Comment on "Biologically inspired protection of deep networks from adversarial attacks" Wieland Brendel Matthias Bethge AAML 28 34 0 05 Apr 2017
On the Relation between Color Image Denoising and Classification Jiqing Wu Radu Timofte Zhiwu Huang Luc Van Gool 14 14 0 05 Apr 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks Weilin Xu David Evans Yanjun Qi AAML 25 1,233 0 04 Apr 2017
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly Jiajun Lu Theerasit Issaranon David A. Forsyth GAN 21 379 0 01 Apr 2017
Adversarial Transformation Networks: Learning to Generate Adversarial Examples S. Baluja Ian S. Fischer GAN 21 284 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 24 926 0 24 Mar 2017
On the Robustness of Convolutional Neural Networks to Internal Architecture and Weight Perturbations N. Cheney Martin Schrimpf Gabriel Kreiman OOD 8 45 0 23 Mar 2017
Self corrective Perturbations for Semantic Segmentation and Classification S. Sankaranarayanan Arpit Jain Ser Nam Lim 14 0 0 23 Mar 2017
Deep generative-contrastive networks for facial expression recognition Youngsung Kim ByungIn Yoo Youngjun Kwak Changkyu Choi Junmo Kim CVBM 24 89 0 21 Mar 2017
On the Limitation of Convolutional Neural Networks in Recognizing Negative Images Hossein Hosseini Baicen Xiao Mayoore S. Jaiswal Radha Poovendran 16 121 0 20 Mar 2017
Using Human Brain Activity to Guide Machine Learning Ruth C. Fong Walter J. Scheirer David D. Cox 3DH 19 95 0 16 Mar 2017
Blocking Transferability of Adversarial Examples in Black-Box Learning Systems Hossein Hosseini Yize Chen Sreeram Kannan Baosen Zhang Radha Poovendran AAML 30 106 0 13 Mar 2017
Improving Interpretability of Deep Neural Networks with Semantic Information Yinpeng Dong Hang Su Jun Zhu Bo Zhang 27 122 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 11 188 0 06 Mar 2017
Compositional Falsification of Cyber-Physical Systems with Machine Learning Components T. Dreossi Alexandre Donzé S. Seshia AAML 32 230 0 02 Mar 2017
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 48 223 0 24 Feb 2017
How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV Klaas Kelchtermans Tinne Tuytelaars 32 34 0 24 Feb 2017
Robustness to Adversarial Examples through an Ensemble of Specialists Mahdieh Abbasi Christian Gagné AAML 11 109 0 22 Feb 2017
Adversarial examples for generative models Jernej Kos Ian S. Fischer D. Song GAN 30 273 0 22 Feb 2017
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel AAML 39 709 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 9 1 0 13 Feb 2017
Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination Adam Gaier A. Asteroth Jean-Baptiste Mouret 17 46 0 13 Feb 2017
Deep Neural Networks - A Brief History K. Cios HAI AI4CE 9 15 0 19 Jan 2017
Attention Allocation Aid for Visual Search Arturo Deza J. R. Peters Grant S. Taylor A. Surana Miguel P. Eckstein 4 11 0 14 Jan 2017
Dense Associative Memory is Robust to Adversarial Inputs Dmitry Krotov J. Hopfield AAML 25 111 0 04 Jan 2017
Understanding Neural Networks through Representation Erasure Jiwei Li Will Monroe Dan Jurafsky AAML MILM 23 559 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 7 2 0 23 Dec 2016
Adversarial Examples Detection in Deep Networks with Convolutional Filter Statistics Xin Li Fuxin Li GAN AAML 23 364 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 22 156 0 22 Dec 2016
Collaborative creativity with Monte-Carlo Tree Search and Convolutional Neural Networks Memo Akten M. Grierson 6 0 0 14 Dec 2016
Sparse Factorization Layers for Neural Networks with Limited Supervision Parker A. Koch Jason J. Corso 32 2 0 14 Dec 2016
Learning Adversary-Resistant Deep Neural Networks Qinglong Wang Wenbo Guo Kaixuan Zhang Alexander Ororbia Masashi Sugiyama Xue Liu C. Lee Giles AAML 18 43 0 05 Dec 2016
Properties and Bayesian fitting of restricted Boltzmann machines Andee Kaplan D. Nordman S. Vardeman AI4CE BDL 25 3 0 04 Dec 2016
Cognitive Deep Machine Can Train Itself András Lőrincz M. Csákvári Á. Fóthi Z. '. Milacski András Sárkány Z. Tősér 8 2 0 02 Dec 2016