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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 / 1,455 papers shown

Title
Interpreting Neural Networks With Nearest Neighbors Eric Wallace Shi Feng Jordan L. Boyd-Graber AAML FAtt MILM 299 56 0 08 Sep 2018
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples Dan Peng Zizhan Zheng Xiaofeng Zhang AAML 218 5 0 08 Sep 2018
A Deeper Look at 3D Shape Classifiers Jong-Chyi Su Matheus Gadelha Rui Wang Subhransu Maji 3DPC 3DV 139 110 0 07 Sep 2018
Connecting Image Denoising and High-Level Vision Tasks via Deep Learning Ding Liu Bihan Wen Jianbo Jiao Xianming Liu Zinan Lin Thomas S. Huang 125 171 0 06 Sep 2018
Adversarial Attack Type I: Cheat Classifiers by Significant Changes Sanli Tang Xiaolin Huang Mingjian Chen Chengjin Sun J. Yang AAML 164 2 0 03 Sep 2018
Extreme Value Theory for Open Set Classification -- GPD and GEV Classifiers Edoardo Vignotto Sebastian Engelke 111 18 0 29 Aug 2018
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge Pasquale Minervini Sebastian Riedel AAML NAI GAN 154 122 0 26 Aug 2018
Are You Tampering With My Data? Michele Alberti Vinaychandran Pondenkandath Marcel Würsch Manuel Bouillon Mathias Seuret Rolf Ingold Marcus Liwicki AAML 168 20 0 21 Aug 2018
Out-of-Distribution Detection using Multiple Semantic Label Representations Gabi Shalev Yossi Adi Joseph Keshet OODD 199 90 0 20 Aug 2018
Reinforcement Learning for Autonomous Defence in Software-Defined Networking Yi Han Benjamin I. P. Rubinstein Tamas Abraham T. Alpcan O. Vel S. Erfani David Hubczenko C. Leckie Paul Montague AAML 140 76 0 17 Aug 2018
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding Lea Schonherr Katharina Kohls Steffen Zeiler Thorsten Holz D. Kolossa AAML 183 307 0 16 Aug 2018
Out of the Black Box: Properties of deep neural networks and their applications Nizar Ouarti D. Carmona FAtt AAML 94 3 0 10 Aug 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu Sijia Liu Pu Zhao Pin-Yu Chen Huan Zhang Quanfu Fan Deniz Erdogmus Yanzhi Wang Xinyu Lin AAML 282 169 0 05 Aug 2018
Traits & Transferability of Adversarial Examples against Instance Segmentation & Object Detection Raghav Gurbaxani Shivank Mishra AAML 121 4 0 04 Aug 2018
Improved Deep Spectral Convolution Network For Hyperspectral Unmixing With Multinomial Mixture Kernel and Endmember Uncertainty Savas Ozkan G. Akar UQCV 265 15 0 03 Aug 2018
Generative Adversarial Frontal View to Bird View Synthesis Xinge Zhu Zhichao Yin Jianping Shi Jiaming Song Dahua Lin GAN 192 57 0 01 Aug 2018
EagleEye: Attack-Agnostic Defense against Adversarial Inputs (Technical Report) Yujie Ji Xinyang Zhang Ting Wang AAML 124 2 0 01 Aug 2018
Techniques for Interpretable Machine Learning Mengnan Du Ninghao Liu Helen Zhou FaML 451 1,190 0 31 Jul 2018
Diverse feature visualizations reveal invariances in early layers of deep neural networks Santiago A. Cadena Marissa A. Weis Leon A. Gatys Matthias Bethge Alexander S. Ecker FAtt 118 32 0 27 Jul 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study Zhenyu Wu Zinan Lin Zhaowen Wang Hailin Jin AAML PICV 244 162 0 22 Jul 2018
Recent Advances in Deep Learning: An Overview Matiur Rahman Minar Jibon Naher VLM 168 128 0 21 Jul 2018
Simultaneous Adversarial Training - Learn from Others MistakesIEEE International Conference on Automatic Face & Gesture Recognition (FG), 2018 Zukang Liao AAML GAN 161 4 0 21 Jul 2018
Physical Adversarial Examples for Object Detectors Kevin Eykholt Ivan Evtimov Earlence Fernandes Yue Liu Amir Rahmati Florian Tramèr Atul Prakash Tadayoshi Kohno Basel Alomair AAML 259 524 0 20 Jul 2018
Motivating the Rules of the Game for Adversarial Example Research Justin Gilmer Ryan P. Adams Ian Goodfellow David G. Andersen George E. Dahl AAML 242 236 0 18 Jul 2018
Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoningAsian Conference on Computer Vision (ACCV), 2018 P. Gay Stuart James Alessio Del Bue OCL 172 37 0 16 Jul 2018
Manifold Adversarial Learning Shufei Zhang Kaizhu Huang Jianke Zhu Yang Liu OOD AAML 116 5 0 16 Jul 2018
Neural Networks Regularization Through Representation Learning Soufiane Belharbi OOD SSL 107 2 0 13 Jul 2018
A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising Jun Xu Lei Zhang David C. Zhang 149 272 0 11 Jul 2018
With Friends Like These, Who Needs Adversaries? Saumya Jetley Nicholas A. Lord Juil Sock AAML 278 72 0 11 Jul 2018
Auto Deep Compression by Reinforcement Learning Based Actor-Critic Structure Hamed Hakkak OffRL AI4CE 154 1 0 08 Jul 2018
Adversarial Examples in Deep Learning: Characterization and Divergence Wenqi Wei Ling Liu Margaret Loper Stacey Truex Lei Yu Mehmet Emre Gursoy Yanzhao Wu AAML SILM 233 18 0 29 Jun 2018
Learning Visually-Grounded Semantics from Contrastive Adversarial SamplesInternational Conference on Computational Linguistics (COLING), 2018 Freda Shi Jiayuan Mao Tete Xiao Yuning Jiang Jian Sun ObjD 172 52 0 27 Jun 2018
DeepObfuscation: Securing the Structure of Convolutional Neural Networks via Knowledge Distillation Hui Xu Yuxin Su Zirui Zhao Yangfan Zhou Michael R. Lyu Irwin King FedML 92 28 0 27 Jun 2018
A Theory of Diagnostic Interpretation in Supervised Classification Anirban Mukhopadhyay FaML FAtt 53 1 0 26 Jun 2018
Exploring Adversarial Examples: Patterns of One-Pixel Attacks David Kügler Alexander Distergoft Arjan Kuijper Anirban Mukhopadhyay AAML MedIm 168 2 0 25 Jun 2018
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity A. Abobakr M. Hossny S. Nahavandi 109 4 0 24 Jun 2018
Focusing on What is Relevant: Time-Series Learning and Understanding using Attention Phongtharin Vinayavekhin Subhajit Chaudhury Asim Munawar Don Joven Agravante Giovanni De Magistris Daiki Kimura Ryuki Tachibana AI4TS 150 25 0 22 Jun 2018
Pixel-level Reconstruction and Classification for Noisy Handwritten Bangla Characters Manohar Karki Qun Liu Robert DiBiano Saikat Basu S. Mukhopadhyay 139 12 0 21 Jun 2018
Como funciona o Deep Learning M. Ponti G. B. P. D. Costa 102 14 0 20 Jun 2018
Data-Efficient Design Exploration through Surrogate-Assisted Illumination Adam Gaier A. Asteroth Jean-Baptiste Mouret 178 85 0 15 Jun 2018
Copycat CNN: Stealing Knowledge by Persuading Confession with Random Non-Labeled Data Jacson Rodrigues Correia-Silva Rodrigo Berriel C. Badue Alberto F. de Souza Thiago Oliveira-Santos MLAU 212 185 0 14 Jun 2018
Sufficient Conditions for Idealised Models to Have No Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks Y. Gal Lewis Smith AAML BDL 170 35 0 02 Jun 2018
Interpreting Deep Learning: The Machine Learning Rorschach Test? Adam S. Charles AAML HAI AI4CE 194 9 0 01 Jun 2018
Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders Partha Ghosh Arpan Losalka Michael J. Black AAML 230 81 0 31 May 2018
Explaining Explanations: An Overview of Interpretability of Machine Learning Leilani H. Gilpin David Bau Ben Z. Yuan Ayesha Bajwa Michael A. Specter Lalana Kagal XAI 1.0K 2,096 0 31 May 2018
Multi-Layered Gradient Boosting Decision Trees Ji Feng Yang Yu Zhi Zhou AI4CE 266 133 0 31 May 2018
Robustness May Be at Odds with Accuracy Dimitris Tsipras Shibani Santurkar Logan Engstrom Alexander Turner Aleksander Madry AAML 606 1,873 0 30 May 2018
Robustifying Models Against Adversarial Attacks by Langevin Dynamics Vignesh Srinivasan Arturo Marbán K. Müller Wojciech Samek Shinichi Nakajima AAML 143 9 0 30 May 2018
To Trust Or Not To Trust A Classifier Heinrich Jiang Been Kim Melody Y. Guan Maya R. Gupta UQCV 445 493 0 30 May 2018
Towards the first adversarially robust neural network model on MNIST Lukas Schott Jonas Rauber Matthias Bethge Wieland Brendel AAML OOD 319 380 0 23 May 2018