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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"

50 / 1,454 papers shown

Title
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Learning Adversary-Resistant Deep Neural Networks Qinglong Wang Wenbo Guo Kaixuan Zhang Alexander Ororbia Masashi Sugiyama Xue Liu C. Lee Giles AAML 247 44 0 05 Dec 2016
Properties and Bayesian fitting of restricted Boltzmann machines Andee Kaplan D. Nordman S. Vardeman AI4CE BDL 142 3 0 04 Dec 2016
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Deep Variational Information Bottleneck Alexander A. Alemi Ian S. Fischer Joshua V. Dillon Kevin Patrick Murphy 776 1,958 0 01 Dec 2016
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples Beilun Wang Ji Gao Yanjun Qi AAML 716 31 0 01 Dec 2016
Machine Learning for Dental Image Analysis Young-jun Yu 91 17 0 30 Nov 2016
Semantic Segmentation using Adversarial Networks Pauline Luc Camille Couprie Soumith Chintala Jakob Verbeek GAN SSeg 190 741 0 25 Nov 2016
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces Vernon J. Lawhern Amelia J. Solon Nicholas R. Waytowich Stephen M. Gordon C. Hung Brent Lance OOD 577 3,527 0 23 Nov 2016
PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition Brandon RichardWebster Samuel E. Anthony Walter J. Scheirer 345 74 0 19 Nov 2016
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 161 78 0 19 Nov 2016
Expert Gate: Lifelong Learning with a Network of Experts Rahaf Aljundi Punarjay Chakravarty Tinne Tuytelaars CLL 274 716 0 18 Nov 2016
Multimodal Transfer: A Hierarchical Deep Convolutional Neural Network for Fast Artistic Style Transfer Xin Eric Wang Geoffrey Oxholm Da Zhang Yuan-fang Wang GAN OffRL 201 174 0 17 Nov 2016
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification Shu Zhang Ran He Tieniu Tan CVBM 3DH 135 74 0 16 Nov 2016
Towards the Science of Security and Privacy in Machine Learning Nicolas Papernot Patrick McDaniel Arunesh Sinha Michael P. Wellman AAML 196 487 0 11 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 225 12 0 01 Nov 2016
Learnable Visual Markers O. Grinchuk V. Lebedev Victor Lempitsky GAN 80 14 0 28 Oct 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 562 2,691 0 26 Oct 2016
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 617 973 0 21 Oct 2016
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches E. Rodner Marcel Simon Robert B. Fisher Joachim Denzler 160 41 0 21 Oct 2016
Using Centroidal Voronoi Tessellations to Scale Up the Multi-dimensional Archive of Phenotypic Elites Algorithm Vassilis Vassiliades Konstantinos Chatzilygeroudis Jean-Baptiste Mouret 183 168 0 18 Oct 2016
Assessing Threat of Adversarial Examples on Deep Neural NetworksInternational Conference on Machine Learning and Applications (ICMLA), 2016 Abigail Graese Andras Rozsa Terrance E. Boult AAML 143 59 0 13 Oct 2016
Reset-free Trial-and-Error Learning for Robot Damage Recovery Konstantinos Chatzilygeroudis Vassilis Vassiliades Jean-Baptiste Mouret 268 106 0 13 Oct 2016
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural NetworksInternational Conference on Learning Representations (ICLR), 2016 Dan Hendrycks Kevin Gimpel UQCV 1.3K 3,877 0 07 Oct 2016
Using Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks Qinglong Wang Wenbo Guo Alexander Ororbia Masashi Sugiyama Lin Lin C. Lee Giles Xue Liu Peng Liu Gang Xiong AAML 240 10 0 06 Oct 2016
One-Trial Correction of Legacy AI Systems and Stochastic Separation Theorems Alexander N. Gorban I. Romanenko Richard Burton I. Tyukin 147 29 0 03 Oct 2016
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition René Grzeszick Sebastian Sudholt G. Fink UQCV 171 4 0 26 Sep 2016
Example-Based Image Synthesis via Randomized Patch-Matching Yi Ren Yaniv Romano Michael Elad 3DV 98 9 0 23 Sep 2016
Learning Robust Representations of Text Yitong Li Trevor Cohn Timothy Baldwin OOD 291 16 0 20 Sep 2016
Joint Attention in Autonomous Driving (JAAD) Iuliia Kotseruba Amir Rasouli John K. Tsotsos 254 115 0 15 Sep 2016
A Perspective on Deep Imaging Ge Wang OOD 179 405 0 10 Sep 2016
Fitted Learning: Models with Awareness of their Limits Navid Kardan Kenneth O. Stanley CLL 177 16 0 07 Sep 2016
Every Filter Extracts A Specific Texture In Convolutional Neural Networks Zhiqiang Xia Ce Zhu Z. Wang Qi Guo Yipeng Liu FAtt 124 2 0 15 Aug 2016
Cognitive Science in the era of Artificial Intelligence: A roadmap for reverse-engineering the infant language-learner Emmanuel Dupoux 260 174 0 29 Jul 2016
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network Filip Piekniewski Patryk A. Laurent Csaba Petre Micah Richert Dimitry Fisher Todd Hylton 145 17 0 22 Jul 2016
Towards Verified Artificial Intelligence Sanjit A. Seshia Dorsa Sadigh S. Shankar Sastry 214 204 0 27 Jun 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 780 2,707 0 21 Jun 2016
An artificial neural network to find correlation patterns in an arbitrary number of variables A. Fontana 160 1 0 21 Jun 2016
Increasing the Interpretability of Recurrent Neural Networks Using Hidden Markov Models Viktoriya Krakovna Finale Doshi-Velez AI4CE 350 69 0 16 Jun 2016
A Powerful Generative Model Using Random Weights for the Deep Image Representation Kun He Yan Wang John E. Hopcroft 191 79 0 15 Jun 2016
The "Horse'' Inside: Seeking Causes Behind the Behaviours of Music Content Analysis SystemsConference on Computability in Europe (CiE), 2016 Bob L. T. Sturm 111 21 0 09 Jun 2016
Convolution by Evolution: Differentiable Pattern Producing NetworksAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2016 Chrisantha Fernando Dylan Banarse Malcolm Reynolds F. Besse David Pfau Max Jaderberg Marc Lanctot Daan Wierstra 399 104 0 08 Jun 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains Hernán Asorey R. Mayo-García L. Núñez M. Pascual A. J. Rubio-Montero M. Suárez-Durán L. A. Torres-Niño 294 719 0 30 May 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey Hirokatsu Kataoka Yudai Miyashita Tomoaki K. Yamabe Soma Shirakabe Shin-ichi Sato ... Kaori Abe Takaaki Imanari Naomichi Kobayashi Shinichiro Morita Akio Nakamura 116 2 0 26 May 2016
Measuring Neural Net Robustness with Constraints Osbert Bastani Yani Andrew Ioannou Leonidas Lampropoulos Dimitrios Vytiniotis A. Nori A. Criminisi AAML 281 442 0 24 May 2016
Neural Dataset Generality Ragav Venkatesan Vijetha Gattupalli Baoxin Li 81 3 0 14 May 2016
Learning Discriminative Features with Class Encoder Hailin Shi Xiangyu Zhu Zhen Lei Tianran Ouyang Stan Z. Li SSL CVBM 89 8 0 09 May 2016
Humans and deep networks largely agree on which kinds of variation make object recognition harder Saeed Reza Kheradpisheh M. Ghodrati M. Ganjtabesh T. Masquelier OOD 107 33 0 21 Apr 2016
The Artificial Mind's Eye: Resisting Adversarials for Convolutional Neural Networks using Internal Projection Harm Berntsen W. Kuijper Tom Heskes AAML GAN 65 0 0 15 Apr 2016
Improving the Robustness of Deep Neural Networks via Stability Training Stephan Zheng Yang Song Thomas Leung Ian Goodfellow OOD 183 666 0 15 Apr 2016