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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
Improving the Robustness of Deep Neural Networks via Stability Training Stephan Zheng Yang Song Thomas Leung Ian Goodfellow OOD 183 666 0 15 Apr 2016
The AGI Containment Problem James Babcock János Kramár Roman V. Yampolskiy 239 298 0 02 Apr 2016
Evolution of active categorical image classification via saccadic eye movement Randal S. Olson J. Moore C. Adami 124 5 0 27 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 653 11,037 0 27 Mar 2016
A Novel Biologically Mechanism-Based Visual Cognition Model--Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity Peijie Yin Hong Qiao Wei Wu Lu Qi Yinlin Li Shanlin Zhong Bo Zhang 73 8 0 25 Mar 2016
Harnessing Deep Neural Networks with Logic Rules Zhiting Hu Xuezhe Ma Zhengzhong Liu Eduard H. Hovy Eric Xing AI4CE NAI 265 628 0 21 Mar 2016
A Survey of Stealth Malware: Attacks, Mitigation Measures, and Steps Toward Autonomous Open World Solutions Ethan M. Rudd Andras Rozsa Manuel Günther Terrance E. Boult 158 160 0 19 Mar 2016
Suppressing the Unusual: towards Robust CNNs using Symmetric Activation Functions Qiyang Zhao Lewis D. Griffin AAML 161 31 0 16 Mar 2016
Turing learning: a metric-free approach to inferring behavior and its application to swarms Wei Li Melvin Gauci R. Groß 99 55 0 15 Mar 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 277 346 0 11 Feb 2016
The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks Babak Saleh Ahmed Elgammal J. Feldman 101 16 0 09 Feb 2016
Graying the black box: Understanding DQNs Tom Zahavy Nir Ben-Zrihem Shie Mannor 349 279 0 08 Feb 2016
Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization Alexander Ororbia C. Lee Giles Daniel Kifer OOD 119 24 0 26 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Suraj Srinivas Ravi Kiran Sarvadevabhatla Konda Reddy Mopuri N. Prabhu S. Kruthiventi R. Venkatesh Babu OOD 177 219 0 25 Jan 2016
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images Aravindh Mahendran Andrea Vedaldi FAtt 324 553 0 07 Dec 2015
Thinking Required K. Rocki AI4CE 97 0 0 07 Dec 2015
Predicting and visualizing psychological attributions with a deep neural network Edward Grant Stephan Sahm M. Zabihi Marcel van Gerven FAtt CVBM 76 2 0 04 Dec 2015
Loss Functions for Neural Networks for Image Processing Hang Zhao Orazio Gallo I. Frosio Jan Kautz SupR 222 300 0 28 Nov 2015
Convergent Learning: Do different neural networks learn the same representations? Shouqing Yang J. Yosinski Jeff Clune Hod Lipson John E. Hopcroft SSL 309 397 0 24 Nov 2015
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 528 4,167 0 24 Nov 2015
What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks Patrick W. Gallagher Shuai Tang Zhuowen Tu 108 6 0 23 Nov 2015
Auxiliary Image Regularization for Deep CNNs with Noisy Labels S. Azadi Jiashi Feng Stefanie Jegelka Trevor Darrell NoLa 238 91 0 22 Nov 2015
On the energy landscape of deep networks Pratik Chaudhari Stefano Soatto ODL 321 27 0 20 Nov 2015
Deep Manifold Traversal: Changing Labels with Convolutional Features Jacob R. Gardner P. Upchurch Matt J. Kusner Shouqing Yang Kilian Q. Weinberger Kavita Bala John E. Hopcroft 170 67 0 19 Nov 2015
A Unified Gradient Regularization Family for Adversarial Examples Chunchuan Lyu Kaizhu Huang Hai-Ning Liang AAML 157 216 0 19 Nov 2015
Manifold Regularized Deep Neural Networks using Adversarial Examples Taehoon Lee Minsuk Choi Sungroh Yoon AAML GAN OOD 97 15 0 19 Nov 2015
Robust Convolutional Neural Networks under Adversarial Noise Jonghoon Jin Aysegül Dündar Eugenio Culurciello 137 78 0 19 Nov 2015
Foveation-based Mechanisms Alleviate Adversarial Examples Yan Luo Xavier Boix Gemma Roig T. Poggio Qi Zhao AAML 318 174 0 19 Nov 2015
Towards Open Set Deep Networks Abhijit Bendale Terrance Boult BDL EDL 438 1,614 0 19 Nov 2015
Understanding Adversarial Training: Increasing Local Stability of Neural Nets through Robust Optimization Uri Shaham Yutaro Yamada S. Negahban AAML 239 87 0 17 Nov 2015
Adversarial Manipulation of Deep Representations S. Sabour Yanshuai Cao Fartash Faghri David J. Fleet GAN AAML 705 291 0 16 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi P. Frossard AAML 698 5,236 0 14 Nov 2015
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 342 3,199 0 14 Nov 2015
Analyzing Stability of Convolutional Neural Networks in the Frequency Domain E. J. Heravi H. H. Aghdam D. Puig FAtt 122 3 0 10 Nov 2015
Visual Language Modeling on CNN Image Representations Hiroharu Kato Tatsuya Harada FAtt 84 7 0 09 Nov 2015
Confusing Deep Convolution Networks by Relabelling Leigh Robinson Benjamin Graham 53 3 0 23 Oct 2015
Exploring the Space of Adversarial Images Pedro Tabacof Eduardo Valle AAML 261 199 0 19 Oct 2015
A Survey: Time Travel in Deep Learning Space: An Introduction to Deep Learning Models and How Deep Learning Models Evolved from the Initial Ideas Haohan Wang Bhiksha Raj AI4TS 135 34 0 16 Oct 2015
Improving Back-Propagation by Adding an Adversarial Gradient Arild Nøkland AAML 135 32 0 14 Oct 2015
Learning a Discriminative Model for the Perception of Realism in Composite Images Jun-Yan Zhu Philipp Krahenbuhl Eli Shechtman Alexei A. Efros SSL GAN 195 145 0 02 Oct 2015
Evasion and Hardening of Tree Ensemble Classifiers Alex Kantchelian J. D. Tygar A. Joseph AAML 289 215 0 25 Sep 2015
Evaluating the visualization of what a Deep Neural Network has learned Wojciech Samek Alexander Binder G. Montavon Sebastian Lapuschkin K. Müller XAI 340 1,285 0 21 Sep 2015
The SP theory of intelligence: distinctive features and advantagesIEEE Access (IEEE Access), 2015 J. G. Wolff 348 31 0 17 Aug 2015
Deep Learning and Music AdversariesIEEE transactions on multimedia (IEEE TMM), 2015 Corey Kereliuk Bob L. T. Sturm J. Larsen AAML 148 144 0 16 Jul 2015
Understanding Neural Networks Through Deep Visualization J. Yosinski Jeff Clune Anh Totti Nguyen Thomas J. Fuchs Hod Lipson FAtt AI4CE 496 1,931 0 22 Jun 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop Feng Yu Ari Seff Yinda Zhang Shuran Song Thomas Funkhouser Jianxiong Xiao 396 2,524 0 10 Jun 2015
Reflection Invariance: an important consideration of image orientation Craig Henderson E. Izquierdo 55 2 0 08 Jun 2015
Visualizing and Understanding Neural Models in NLPNorth American Chapter of the Association for Computational Linguistics (NAACL), 2015 Jiwei Li Xinlei Chen Eduard H. Hovy Dan Jurafsky MILM FAtt 188 732 0 02 Jun 2015
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale VariabilityComputer Vision and Pattern Recognition (CVPR), 2015 Nikolaos Karianakis Jingming Dong Stefano Soatto 212 15 0 26 May 2015
Image Reconstruction from Bag-of-Visual-Words Hiroharu Kato Tatsuya Harada 189 85 0 19 May 2015