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1412.1897
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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
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
Re-assign community
ArXiv (abs)
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Papers citing
"Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"
50 / 1,455 papers shown
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Defending against Backdoor Attack on Deep Neural Networks
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381
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Being Bayesian, Even Just a Bit, Fixes Overconfidence in ReLU Networks
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Hang Su
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Source Separation with Deep Generative Priors
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171
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18 Feb 2020
Manifold-based Test Generation for Image Classifiers
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162
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MDEA: Malware Detection with Evolutionary Adversarial Learning
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201
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172
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Kelei Cao
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185
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Wassim Swaileh
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128
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Deep Residual Flow for Out of Distribution Detection
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319
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111
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Effect of Confidence and Explanation on Accuracy and Trust Calibration in AI-Assisted Decision Making
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105
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L. Duan
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316
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212
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White Noise Analysis of Neural Networks
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Model Weight Theft With Just Noise Inputs: The Curious Case of the Petulant Attacker
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J. Álvarez
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254
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18 Dec 2019
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
International Conference on Machine Learning (ICML), 2019
F. Such
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308
173
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Constructing a provably adversarially-robust classifier from a high accuracy one
International Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Grzegorz Gluch
R. Urbanke
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95
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0
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Bayesian Variational Autoencoders for Unsupervised Out-of-Distribution Detection
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400
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300 GHz Radar Object Recognition based on Deep Neural Networks and Transfer Learning
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Marcel Sheeny
Andrew M. Wallace
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253
22
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Perfectly Parallel Fairness Certification of Neural Networks
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239
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Why Should we Combine Training and Post-Training Methods for Out-of-Distribution Detection?
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N. Shaikh
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Plug and Play Language Models: A Simple Approach to Controlled Text Generation
International Conference on Learning Representations (ICLR), 2019
Sumanth Dathathri
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Distance-Based Learning from Errors for Confidence Calibration
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218
42
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348
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30 Nov 2019
Indirect Local Attacks for Context-aware Semantic Segmentation Networks
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203
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344
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