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"

50 / 1,401 papers shown

Title
DARTS: Deceiving Autonomous Cars with Toxic Signs Chawin Sitawarin A. Bhagoji Arsalan Mosenia M. Chiang Prateek Mittal AAML 37 233 0 18 Feb 2018
Learning Privacy Preserving Encodings through Adversarial Training Francesco Pittaluga S. Koppal Ayan Chakrabarti PICV 19 76 0 14 Feb 2018
On the Blindspots of Convolutional Networks Elad Hoffer Shai Fine Daniel Soudry BDL 27 4 0 14 Feb 2018
Learning Confidence for Out-of-Distribution Detection in Neural Networks Terrance Devries Graham W. Taylor OOD OODD 43 581 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 31 61 0 13 Feb 2018
Predicting Adversarial Examples with High Confidence A. Galloway Graham W. Taylor M. Moussa AAML 29 9 0 13 Feb 2018
Global Model Interpretation via Recursive Partitioning Chengliang Yang Anand Rangarajan Sanjay Ranka FAtt 10 78 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 35 36 0 07 Feb 2018
Critical Percolation as a Framework to Analyze the Training of Deep Networks Zohar Ringel Rodrigo Andrade de Bem 30 2 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 43 3,904 0 06 Feb 2018
A Method for Restoring the Training Set Distribution in an Image Classifier A. Chaplygin Joshua Chacksfield 14 1 0 05 Feb 2018
ClassSim: Similarity between Classes Defined by Misclassification Ratios of Trained Classifiers Kazuma Arino Yohei Kikuta 16 1 0 05 Feb 2018
ReNN: Rule-embedded Neural Networks Hu Wang AI4TS 26 15 0 30 Jan 2018
Understanding Deep Architectures by Visual Summaries Marco Carletti Marco Godi Maedeh Aghaei Francesco Giuliari Marco Cristani 3DH FAtt 19 1 0 27 Jan 2018
Towards an Understanding of Neural Networks in Natural-Image Spaces Yifei Fan A. Yezzi AAML GAN 18 2 0 27 Jan 2018
Deflecting Adversarial Attacks with Pixel Deflection Aaditya (Adi) Prakash N. Moran Solomon Garber Antonella DiLillo J. Storer AAML 8 302 0 26 Jan 2018
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations Konda Reddy Mopuri Aditya Ganeshan R. Venkatesh Babu AAML 32 203 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 41 536 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 47 707 0 13 Jan 2018
Deep saliency: What is learnt by a deep network about saliency? Sen He N. Pugeault SSL FAtt 24 8 0 12 Jan 2018
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality Xingjun Ma Bo-wen Li Yisen Wang S. Erfani S. Wijewickrema Grant Schoenebeck D. Song Michael E. Houle James Bailey AAML 43 730 0 08 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 38 1,074 0 05 Jan 2018
Efficient Image Evidence Analysis of CNN Classification Results Keyang Zhou Bernhard Kainz AAML FAtt 26 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 31 47 0 04 Jan 2018
High Dimensional Spaces, Deep Learning and Adversarial Examples S. Dube 37 29 0 02 Jan 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 50 1,034 0 02 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 22 1,855 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 28 680 0 28 Dec 2017
Building Robust Deep Neural Networks for Road Sign Detection Arkar Min Aung Yousef Fadila R. Gondokaryono Luis Gonzalez AAML 18 17 0 26 Dec 2017
Learning Based on CC1 and CC4 Neural Networks S. Kak 19 2 0 22 Dec 2017
Using LIP to Gloss Over Faces in Single-Stage Face Detection Networks Siqi Yang Arnold Wiliem Shaokang Chen Brian C. Lovell CVBM AAML 34 3 0 22 Dec 2017
ReabsNet: Detecting and Revising Adversarial Examples Jiefeng Chen Zihang Meng Changtian Sun Weiliang Tang Yinglun Zhu AAML GAN 29 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 11 9 0 21 Dec 2017
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 36 1,611 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 13 26 0 16 Dec 2017
Detecting Qualia in Natural and Artificial Agents Roman V. Yampolskiy 35 14 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 38 1,051 0 09 Dec 2017
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 40 1,390 0 08 Dec 2017
Adversarial Examples that Fool Detectors Jiajun Lu Hussein Sibai Evan Fabry AAML 19 144 0 07 Dec 2017
Generative Adversarial Perturbations Omid Poursaeed Isay Katsman Bicheng Gao Serge J. Belongie AAML GAN WIGM 31 351 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 35 102 0 05 Dec 2017
Object Classification using Ensemble of Local and Deep Features Siddharth Srivastava Prerana Mukherjee Brejesh Lall Kamlesh Jaiswal 34 7 0 04 Dec 2017
Layer-wise Learning of Stochastic Neural Networks with Information Bottleneck Thanh T. Nguyen Jaesik Choi 20 13 0 04 Dec 2017
Spatial PixelCNN: Generating Images from Patches Nader Akoury Anh Totti Nguyen 25 4 0 03 Dec 2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities Jason Jo Yoshua Bengio AAML 26 249 0 30 Nov 2017
Security Risks in Deep Learning Implementations Qixue Xiao Kang Li Deyue Zhang Weilin Xu SILM 16 68 0 29 Nov 2017
Deep Reinforcement Learning for De-Novo Drug Design Mariya Popova Olexandr Isayev Alexander Tropsha 33 1,005 0 29 Nov 2017
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation Y. Yoo Seonguk Park Junyoung Choi Sangdoo Yun Nojun Kwak AAML 27 4 0 27 Nov 2017
Context Augmentation for Convolutional Neural Networks Aysegül Dündar Ignacio Garcia Dorado 11 4 0 22 Nov 2017
How morphological development can guide evolution Sam Kriegman Nick Cheney Josh Bongard 36 95 0 20 Nov 2017