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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
Max-Mahalanobis Linear Discriminant Analysis NetworksInternational Conference on Machine Learning (ICML), 2018 Tianyu Pang Chao Du Jun Zhu 189 56 0 26 Feb 2018
Autoencoder based image compression: can the learning be quantization independent? Thierry Dumas A. Roumy C. Guillemot OOD SSL MQ 145 59 0 23 Feb 2018
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks Gaurav Goswami Nalini Ratha Akshay Agarwal Richa Singh Mayank Vatsa AAML 200 174 0 22 Feb 2018
DARTS: Deceiving Autonomous Cars with Toxic Signs Chawin Sitawarin A. Bhagoji Arsalan Mosenia M. Chiang Prateek Mittal AAML 293 244 0 18 Feb 2018
Learning Privacy Preserving Encodings through Adversarial Training Francesco Pittaluga S. Koppal Ayan Chakrabarti PICV 307 78 0 14 Feb 2018
On the Blindspots of Convolutional Networks Elad Hoffer Shai Fine Daniel Soudry BDL 121 4 0 14 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 266 629 0 13 Feb 2018
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models Mengying Sun Fengyi Tang Jinfeng Yi Fei Wang Jiayu Zhou AAML OOD MedIm 142 65 0 13 Feb 2018
Predicting Adversarial Examples with High Confidence A. Galloway Graham W. Taylor M. Moussa AAML 127 9 0 13 Feb 2018
Global Model Interpretation via Recursive Partitioning Chengliang Yang Anand Rangarajan Sanjay Ranka FAtt 146 85 0 11 Feb 2018
A Critical Investigation of Deep Reinforcement Learning for Navigation Vikas Dhiman Shurjo Banerjee Brent A. Griffin J. Siskind Jason J. Corso 159 36 0 07 Feb 2018
Critical Percolation as a Framework to Analyze the Training of Deep Networks Zohar Ringel Rodrigo Andrade de Bem 92 3 0 06 Feb 2018
A Survey Of Methods For Explaining Black Box Models Riccardo Guidotti A. Monreale Salvatore Ruggieri Franco Turini D. Pedreschi F. Giannotti XAI 599 4,473 0 06 Feb 2018
A Method for Restoring the Training Set Distribution in an Image Classifier A. Chaplygin Joshua Chacksfield 100 1 0 05 Feb 2018
ClassSim: Similarity between Classes Defined by Misclassification Ratios of Trained Classifiers Kazuma Arino Yohei Kikuta 57 1 0 05 Feb 2018
ReNN: Rule-embedded Neural Networks Hu Wang AI4TS 79 15 0 30 Jan 2018
Understanding Deep Architectures by Visual Summaries Marco Carletti Marco Godi Maedeh Aghaei Francesco Giuliari Marco Cristani 3DH FAtt 132 1 0 27 Jan 2018
Towards an Understanding of Neural Networks in Natural-Image Spaces Yifei Fan A. Yezzi AAML GAN 93 2 0 27 Jan 2018
Deflecting Adversarial Attacks with Pixel Deflection Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 232 324 0 26 Jan 2018
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations Konda Reddy Mopuri Aditya Ganeshan R. Venkatesh Babu AAML 444 221 0 24 Jan 2018
Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers Fred Hohman Minsuk Kahng Robert S. Pienta Duen Horng Chau OOD HAI 237 581 0 21 Jan 2018
Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers Ji Gao Jack Lanchantin M. Soffa Yanjun Qi AAML 454 802 0 13 Jan 2018
Deep saliency: What is learnt by a deep network about saliency? Sen He N. Pugeault SSL FAtt 100 8 0 12 Jan 2018
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Jiabo He Yue Liu Yisen Wang S. Erfani S. Wijewickrema Grant Schoenebeck Basel Alomair Michael E. Houle James Bailey AAML 392 792 0 08 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 186 1,142 0 05 Jan 2018
Efficient Image Evidence Analysis of CNN Classification Results Keyang Zhou Bernhard Kainz AAML FAtt 99 4 0 05 Jan 2018
What have we learned from deep representations for action recognition? Christoph Feichtenhofer A. Pinz Richard P. Wildes Andrew Zisserman SSL 121 47 0 04 Jan 2018
High Dimensional Spaces, Deep Learning and Adversarial Examples S. Dube 384 28 0 02 Jan 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 330 1,124 0 02 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Lin Wang AAML 453 1,983 0 02 Jan 2018
What do we need to build explainable AI systems for the medical domain? Andreas Holzinger Chris Biemann C. Pattichis D. Kell 201 800 0 28 Dec 2017
Building Robust Deep Neural Networks for Road Sign Detection Arkar Min Aung Yousef Fadila R. Gondokaryono Luis Gonzalez AAML 98 19 0 26 Dec 2017
Learning Based on CC1 and CC4 Neural Networks S. Kak 42 2 0 22 Dec 2017
Using LIP to Gloss Over Faces in Single-Stage Face Detection NetworksEuropean Conference on Computer Vision (ECCV), 2017 Siqi Yang Arnold Wiliem Shaokang Chen Brian C. Lovell CVBM AAML 144 3 0 22 Dec 2017
ReabsNet: Detecting and Revising Adversarial Examples Jiefeng Chen Zihang Meng Changtian Sun Weiliang Tang Yinglun Zhu AAML GAN 133 4 0 21 Dec 2017
Wolf in Sheep's Clothing - The Downscaling Attack Against Deep Learning Applications Qixue Xiao Kang Li Deyue Zhang Yier Jin 54 9 0 21 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep LearningIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2017 Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 513 1,729 0 19 Dec 2017
Attack and Defense of Dynamic Analysis-Based, Adversarial Neural Malware Classification Models Jack W. Stokes De Wang M. Marinescu Marc Marino Brian Bussone AAML 94 26 0 16 Dec 2017
Detecting Qualia in Natural and Artificial Agents Roman V. Yampolskiy 120 15 0 11 Dec 2017
Deep Learning for IoT Big Data and Streaming Analytics: A Survey M. Mohammadi Ala I. Al-Fuqaha Sameh Sorour Mohsen Guizani 286 1,147 0 09 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 357 1,527 0 08 Dec 2017
Adversarial Examples that Fool Detectors Jiajun Lu Hussein Sibai Evan Fabry AAML 136 156 0 07 Dec 2017
Generative Adversarial Perturbations Omid Poursaeed Isay Katsman Bicheng Gao Serge J. Belongie AAML GAN WIGM 423 384 0 06 Dec 2017
Towards Practical Verification of Machine Learning: The Case of Computer Vision Systems Kexin Pei Linjie Zhu Yinzhi Cao Junfeng Yang Carl Vondrick Suman Jana AAML 308 108 0 05 Dec 2017
Object Classification using Ensemble of Local and Deep Features Siddharth Srivastava Prerana Mukherjee Brejesh Lall Kamlesh Jaiswal 101 8 0 04 Dec 2017
Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck Thanh T. Nguyen Jaesik Choi 311 13 0 04 Dec 2017
Spatial PixelCNN: Generating Images from Patches Nader Akoury Anh Totti Nguyen 106 4 0 03 Dec 2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities Jason Jo Yoshua Bengio AAML 158 258 0 30 Nov 2017
Security Risks in Deep Learning Implementations Qixue Xiao Kang Li Deyue Zhang Weilin Xu SILM 82 80 0 29 Nov 2017
Deep Reinforcement Learning for De-Novo Drug Design Mariya Popova Olexandr Isayev Alexander Tropsha 259 1,135 0 29 Nov 2017