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
Increasing the adversarial robustness and explainability of capsule networks with $γ$ -capsules David Peer Sebastian Stabinger A. Rodríguez-Sánchez AAML GAN MedIm 39 11 0 23 Dec 2018
Dissociable neural representations of adversarially perturbed images in convolutional neural networks and the human brain Chi Zhang Xiaohan Duan Linyuan Wang Yongli Li Bin Yan Guoen Hu Ruyuan Zhang Li Tong AAML 19 1 0 22 Dec 2018
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem Matthias Hein Maksym Andriushchenko Julian Bitterwolf OODD 55 554 0 13 Dec 2018
TextBugger: Generating Adversarial Text Against Real-world Applications Jinfeng Li S. Ji Tianyu Du Bo Li Ting Wang SILM AAML 75 723 0 13 Dec 2018
Deep Anomaly Detection with Outlier Exposure Dan Hendrycks Mantas Mazeika Thomas G. Dietterich OODD 31 1,457 0 11 Dec 2018
Deep-RBF Networks Revisited: Robust Classification with Rejection P. Zadeh Reshad Hosseini S. Sra AAML OOD 11 28 0 07 Dec 2018
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations Jacob Dumford Walter J. Scheirer AAML 22 117 0 07 Dec 2018
Adversarial Defense of Image Classification Using a Variational Auto-Encoder Yi-Si Luo H. Pfister AAML 13 9 0 07 Dec 2018
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 30 169 0 03 Dec 2018
Adversarial Examples as an Input-Fault Tolerance Problem A. Galloway A. Golubeva Graham W. Taylor SILM AAML 14 0 0 30 Nov 2018
Ensemble Bayesian Decision Making with Redundant Deep Perceptual Control Policies Keuntaek Lee Ziyi Wang Bogdan I. Vlahov Harleen K. Brar Evangelos A. Theodorou BDL UQCV 6 28 0 30 Nov 2018
Generalized Coarse-to-Fine Visual Recognition with Progressive Training Xutong Ren Lingxi Xie Chen Wei Siyuan Qiao Chi Su Jiaying Liu Qi Tian Elliot K. Fishman Alan Yuille ObjD 24 0 0 29 Nov 2018
Deep learning for pedestrians: backpropagation in CNNs L. Boué 3DV PINN 21 4 0 29 Nov 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 47 299 0 28 Nov 2018
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 24 189 0 27 Nov 2018
Probabilistic Object Detection: Definition and Evaluation David Hall Feras Dayoub John Skinner Haoyang Zhang Dimity Miller Peter Corke G. Carneiro A. Angelova Niko Sünderhauf UQCV 40 111 0 27 Nov 2018
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces Ziv Katzir Yuval Elovici AAML 16 26 0 22 Nov 2018
Recent Advances in Open Set Recognition: A Survey Chuanxing Geng Sheng-Jun Huang Songcan Chen BDL ObjD 59 759 0 21 Nov 2018
How the Softmax Output is Misleading for Evaluating the Strength of Adversarial Examples Utku Ozbulak W. D. Neve Arnout Van Messem AAML 11 7 0 21 Nov 2018
CIFAR10 to Compare Visual Recognition Performance between Deep Neural Networks and Humans T. Ho-Phuoc 11 41 0 18 Nov 2018
Exploring the Deep Feature Space of a Cell Classification Neural Network Ezra Webb Cheng Lei Chun-Jung Huang H. Kobayashi H. Mikami K. Goda 8 2 0 15 Nov 2018
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform Md Tahmid Hossain S. Teng Dengsheng Zhang Suryani Lim Guojun Lu 23 30 0 14 Nov 2018
Co-Representation Learning For Classification and Novel Class Detection via Deep Networks Zhuoyi Wang Zelun Kong Hemeng Tao Swarup Chandra Latifur Khan 11 2 0 13 Nov 2018
An Overview of Computational Approaches for Interpretation Analysis Philipp Blandfort Jörn Hees D. Patton 21 2 0 09 Nov 2018
A Geometric Perspective on the Transferability of Adversarial Directions Duncan C. McElfresh H. Bidkhori Dimitris Papailiopoulos AAML 19 17 0 08 Nov 2018
Deep Weighted Averaging Classifiers Dallas Card Michael J.Q. Zhang Hao Tang 22 41 0 06 Nov 2018
CarePre: An Intelligent Clinical Decision Assistance System Zhuochen Jin Jingshun Yang Shuyuan Cui David Gotz Jimeng Sun Nan Cao 29 31 0 06 Nov 2018
FAdeML: Understanding the Impact of Pre-Processing Noise Filtering on Adversarial Machine Learning Faiq Khalid Muhammad Abdullah Hanif Semeen Rehman Junaid Qadir Mohamed Bennai AAML 22 34 0 04 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 21 22 0 03 Nov 2018
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks Faiq Khalid Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Mohamed Bennai AAML 38 21 0 02 Nov 2018
Informed Democracy: Voting-based Novelty Detection for Action Recognition Alina Roitberg Ziad Al-Halah Rainer Stiefelhagen 28 30 0 30 Oct 2018
Understanding Deep Convolutional Networks through Gestalt Theory A. Amanatiadis Vasileios G. Kaburlasos Elias B. Kosmatopoulos FAtt 16 16 0 19 Oct 2018
Security Matters: A Survey on Adversarial Machine Learning Guofu Li Pengjia Zhu Jin Li Zhemin Yang Ning Cao Zhiyi Chen AAML 26 24 0 16 Oct 2018
$Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks$ Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks Max Schwarzer Bryce Rogan Yadong Ruan Zhengming Song Diana Lee ... V. Chau B. Moore E. Rougier Hari S. Viswanathan G. Srinivasan AI4CE 24 70 0 14 Oct 2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation Chaowei Xiao Ruizhi Deng Bo Li Feng Yu M. Liu D. Song AAML 19 99 0 11 Oct 2018
Analyzing the Noise Robustness of Deep Neural Networks Mengchen Liu Shixia Liu Hang Su Kelei Cao Jun Zhu AAML 25 7 0 09 Oct 2018
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection Hyun-Jae Choi Eric Jang Alexander A. Alemi OODD 20 82 0 02 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 33 49 0 02 Oct 2018
Semantically Invariant Text-to-Image Generation Shagan Sah D. Peri Ameya Shringi Chi Zhang Miguel Domínguez Andreas E. Savakis R. Ptucha EGVM 25 9 0 27 Sep 2018
Scenic: A Language for Scenario Specification and Scene Generation Daniel J. Fremont T. Dreossi Shromona Ghosh Xiangyu Yue Alberto L. Sangiovanni-Vincentelli S. Seshia 42 248 0 25 Sep 2018
Neural Networks with Structural Resistance to Adversarial Attacks Luca de Alfaro AAML 14 5 0 25 Sep 2018
Unrestricted Adversarial Examples Tom B. Brown Nicholas Carlini Chiyuan Zhang Catherine Olsson Paul Christiano Ian Goodfellow AAML 29 101 0 22 Sep 2018
Evaluating Merging Strategies for Sampling-based Uncertainty Techniques in Object Detection Dimity Miller Feras Dayoub Michael Milford Niko Sünderhauf 23 105 0 17 Sep 2018
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks Siyue Wang Tianlin Li Pu Zhao Wujie Wen David Kaeli S. Chin Xinyu Lin AAML 32 70 0 13 Sep 2018
Humans can decipher adversarial images Zhenglong Zhou C. Firestone AAML 18 121 0 11 Sep 2018
Classification by Re-generation: Towards Classification Based on Variational Inference Shideh Rezaeifar O. Taran Slava Voloshynovskiy DRL 21 4 0 10 Sep 2018
Towards Query Efficient Black-box Attacks: An Input-free Perspective Yali Du Meng Fang Jinfeng Yi Jun Cheng Dacheng Tao AAML 19 21 0 09 Sep 2018
Interpreting Neural Networks With Nearest Neighbors Eric Wallace Shi Feng Jordan L. Boyd-Graber AAML FAtt MILM 23 53 0 08 Sep 2018
Structure-Preserving Transformation: Generating Diverse and Transferable Adversarial Examples Dan Peng Zizhan Zheng Xiaofeng Zhang AAML 22 5 0 08 Sep 2018
A Deeper Look at 3D Shape Classifiers Jong-Chyi Su Matheus Gadelha Rui Wang Subhransu Maji 3DPC 3DV 20 101 0 07 Sep 2018