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
The Roles of Supervised Machine Learning in Systems Neuroscience Joshua I. Glaser Ari S. Benjamin Roozbeh Farhoodi Konrad Paul Kording 18 114 0 21 May 2018
Bidirectional Learning for Robust Neural Networks S. Pontes-Filho Marcus Liwicki 29 9 0 21 May 2018
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 185 302 0 21 May 2018
Controlling the privacy loss with the input feature maps of the layers in convolutional neural networks Woohyung Chun Sung-Min Hong Junho Huh Inyup Kang PICV 9 0 0 09 May 2018
Label Refinery: Improving ImageNet Classification through Label Progression Hessam Bagherinezhad Maxwell Horton Mohammad Rastegari Ali Farhadi 20 189 0 07 May 2018
Reachability Analysis of Deep Neural Networks with Provable Guarantees Wenjie Ruan Xiaowei Huang Marta Kwiatkowska AAML 29 269 0 06 May 2018
Optimization of computational budget for power system risk assessment Benjamin Donnot Isabelle M Guyon Antoine Marot Marc Schoenauer P. Panciatici 24 12 0 03 May 2018
Anticipating contingengies in power grids using fast neural net screening Benjamin Donnot Isabelle M Guyon Marc Schoenauer Antoine Marot P. Panciatici AI4CE 27 16 0 03 May 2018
Potentials and Limitations of Deep Neural Networks for Cognitive Robots Doreen Jirak S. Wermter 16 5 0 02 May 2018
Towards Interpretable Face Recognition Bangjie Yin Luan Tran Haoxiang Li Xiaohui Shen Xiaoming Liu CVBM 22 82 0 02 May 2018
Formal Security Analysis of Neural Networks using Symbolic Intervals Shiqi Wang Kexin Pei Justin Whitehouse Junfeng Yang Suman Jana AAML 34 473 0 28 Apr 2018
PANDA: Facilitating Usable AI Development Jinyang Gao Wei Wang Meihui Zhang Gang Chen H. V. Jagadish Guoliang Li Teck Khim Ng Beng Chin Ooi Sheng Wang Jingren Zhou 32 4 0 26 Apr 2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models Hendrik Strobelt Sebastian Gehrmann M. Behrisch Adam Perer Hanspeter Pfister Alexander M. Rush VLM HAI 31 239 0 25 Apr 2018
Black-box Adversarial Attacks with Limited Queries and Information Andrew Ilyas Logan Engstrom Anish Athalye Jessy Lin MLAU AAML 79 1,191 0 23 Apr 2018
VectorDefense: Vectorization as a Defense to Adversarial Examples V. Kabilan Brandon L. Morris Anh Totti Nguyen AAML 22 21 0 23 Apr 2018
Pathologies of Neural Models Make Interpretations Difficult Shi Feng Eric Wallace Alvin Grissom II Mohit Iyyer Pedro Rodriguez Jordan L. Boyd-Graber AAML FAtt 24 317 0 20 Apr 2018
Understanding Regularization to Visualize Convolutional Neural Networks Maximilian Baust Florian Ludwig Christian Rupprecht Matthias Kohl S. Braunewell FAtt 24 4 0 20 Apr 2018
Hierarchical Behavioral Repertoires with Unsupervised Descriptors Antoine Cully Y. Demiris 14 34 0 19 Apr 2018
Attacking Convolutional Neural Network using Differential Evolution Jiawei Su Danilo Vasconcellos Vargas Kouichi Sakurai AAML 16 45 0 19 Apr 2018
The Limits and Potentials of Deep Learning for Robotics Niko Sünderhauf Oliver Brock Walter J. Scheirer R. Hadsell Dieter Fox ... B. Upcroft Pieter Abbeel Wolfram Burgard Michael Milford Peter Corke 17 522 0 18 Apr 2018
Data-efficient Neuroevolution with Kernel-Based Surrogate Models Adam Gaier A. Asteroth Jean-Baptiste Mouret SyDa 31 17 0 15 Apr 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 25 230 0 15 Apr 2018
Solving Bongard Problems with a Visual Language and Pragmatic Reasoning Stefan Depeweg Constantin Rothkopf Frank Jakel LRM 25 42 0 12 Apr 2018
Discovering the Elite Hypervolume by Leveraging Interspecies Correlation Vassilis Vassiliades Jean-Baptiste Mouret 24 80 0 11 Apr 2018
Adversarial Training Versus Weight Decay A. Galloway T. Tanay Graham W. Taylor AAML 29 23 0 10 Apr 2018
An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks Pu Zhao Sijia Liu Yanzhi Wang Xinyu Lin AAML 28 37 0 09 Apr 2018
Interoceptive robustness through environment-mediated morphological development Sam Kriegman Nick Cheney Francesco Corucci Josh Bongard 6 21 0 06 Apr 2018
Impact of ultrasound image reconstruction method on breast lesion classification with neural transfer learning Michal Byra T. Sznajder Danijel Koržinek H. Piotrzkowska-Wróblewska K. Dobruch-Sobczak A. Nowicki K. Marasek 14 9 0 06 Apr 2018
Identifying Cross-Depicted Historical Motifs Vinaychandran Pondenkandath Michele Alberti Nicole Eichenberger Rolf Ingold Marcus Liwicki 21 13 0 05 Apr 2018
The structure of evolved representations across different substrates for artificial intelligence A. Hintze Douglas Kirkpatrick C. Adami 6 16 0 05 Apr 2018
Confidence from Invariance to Image Transformations Yuval Bahat Gregory Shakhnarovich 12 19 0 02 Apr 2018
Toward Intelligent Vehicular Networks: A Machine Learning Framework Le Liang Hao Ye Geoffrey Ye Li 13 207 0 01 Apr 2018
Task-Driven Super Resolution: Object Detection in Low-resolution Images Muhammad Haris Gregory Shakhnarovich Norimichi Ukita 41 172 0 30 Mar 2018
Feed-forward Uncertainty Propagation in Belief and Neural Networks Alexander Shekhovtsov B. Flach M. Busta 25 4 0 28 Mar 2018
Clipping free attacks against artificial neural networks B. Addad Jérôme Kodjabachian Christophe Meyer AAML 19 1 0 26 Mar 2018
Understanding Measures of Uncertainty for Adversarial Example Detection Lewis Smith Y. Gal UQCV 57 358 0 22 Mar 2018
Removing Confounding Factors Associated Weights in Deep Neural Networks Improves the Prediction Accuracy for Healthcare Applications Haohan Wang Zhenglin Wu Eric Xing OOD 35 40 0 20 Mar 2018
Improving Transferability of Adversarial Examples with Input Diversity Cihang Xie Zhishuai Zhang Yuyin Zhou Song Bai Jianyu Wang Zhou Ren Alan Yuille AAML 37 1,100 0 19 Mar 2018
Invisible Mask: Practical Attacks on Face Recognition with Infrared Zhe Zhou Di Tang Xiaofeng Wang Weili Han Xiangyu Liu Kehuan Zhang CVBM AAML 26 103 0 13 Mar 2018
Compact Convolutional Neural Networks for Classification of Asynchronous Steady-state Visual Evoked Potentials Nicholas R. Waytowich Vernon J. Lawhern J. Garcia J. Cummings J. Faller P. Sajda J. Vettel 22 180 0 12 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 50 1,306 0 12 Mar 2018
Interpreting Deep Classifier by Visual Distillation of Dark Knowledge Kai Xu Dae Hoon Park Chang Yi Charles Sutton HAI FAtt 22 26 0 11 Mar 2018
Detecting Adversarial Examples via Neural Fingerprinting Sumanth Dathathri Stephan Zheng Tianwei Yin Richard M. Murray Yisong Yue MLAU AAML 41 0 0 11 Mar 2018
Testing Deep Neural Networks Youcheng Sun Xiaowei Huang Daniel Kroening James Sharp Matthew Hill Rob Ashmore AAML 21 214 0 10 Mar 2018
On Generation of Adversarial Examples using Convex Programming E. Balda Arash Behboodi R. Mathar AAML 21 13 0 09 Mar 2018
Sparse Adversarial Perturbations for Videos Xingxing Wei Jun Zhu Hang Su AAML 22 138 0 07 Mar 2018
On the Suitability of $L_p$ -norms for Creating and Preventing Adversarial Examples Mahmood Sharif Lujo Bauer Michael K. Reiter AAML 24 138 0 27 Feb 2018
Max-Mahalanobis Linear Discriminant Analysis Networks Tianyu Pang Chao Du Jun Zhu 16 55 0 26 Feb 2018
Autoencoder based image compression: can the learning be quantization independent? Thierry Dumas A. Roumy C. Guillemot OOD SSL MQ 29 57 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 29 165 0 22 Feb 2018