Foolbox: A Python toolbox to benchmark the robustness of machine learning models

13 July 2017

Wieland Brendel

Papers citing "Foolbox: A Python toolbox to benchmark the robustness of machine learning models"

45 / 95 papers shown

Title
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures Gil Fidel Ron Bitton A. Shabtai FAtt GAN 21 119 0 08 Sep 2019
Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack Francesco Croce Matthias Hein AAML 56 480 0 03 Jul 2019
Accurate, reliable and fast robustness evaluation Wieland Brendel Jonas Rauber Matthias Kümmerer Ivan Ustyuzhaninov Matthias Bethge AAML OOD 24 113 0 01 Jul 2019
Defending Against Adversarial Examples with K-Nearest Neighbor Chawin Sitawarin David Wagner AAML 11 29 0 23 Jun 2019
Adversarial Attack Generation Empowered by Min-Max Optimization Jingkang Wang Tianyun Zhang Sijia Liu Pin-Yu Chen Jiacen Xu M. Fardad Yangqiu Song AAML 35 35 0 09 Jun 2019
Label Universal Targeted Attack Naveed Akhtar M. Jalwana Bennamoun Ajmal Mian AAML 25 5 0 27 May 2019
Enhancing Adversarial Defense by k-Winners-Take-All Chang Xiao Peilin Zhong Changxi Zheng AAML 27 98 0 25 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain Lei Bu Yuchao Duan Fu Song Zhe Zhao AAML 42 18 0 19 May 2019
On the Connection Between Adversarial Robustness and Saliency Map Interpretability Christian Etmann Sebastian Lunz Peter Maass Carola-Bibiane Schönlieb AAML FAtt 33 159 0 10 May 2019
Test Selection for Deep Learning Systems Wei Ma Mike Papadakis Anestis Tsakmalis Maxime Cordy Yves Le Traon OOD 23 92 0 30 Apr 2019
Adversarial Defense Through Network Profiling Based Path Extraction Yuxian Qiu Jingwen Leng Cong Guo Quan Chen Chong Li Minyi Guo Yuhao Zhu AAML 24 51 0 17 Apr 2019
Curls & Whey: Boosting Black-Box Adversarial Attacks Yucheng Shi Siyu Wang Yahong Han AAML 34 116 0 02 Apr 2019
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations Dan Hendrycks Thomas G. Dietterich OOD VLM 12 3,386 0 28 Mar 2019
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks Francesco Croce Jonas Rauber Matthias Hein AAML 20 31 0 27 Mar 2019
A geometry-inspired decision-based attack Yujia Liu Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 24 52 0 26 Mar 2019
The LogBarrier adversarial attack: making effective use of decision boundary information Chris Finlay Aram-Alexandre Pooladian Adam M. Oberman AAML 39 25 0 25 Mar 2019
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations Saeid Asgari Taghanaki Kumar Abhishek Shekoofeh Azizi Ghassan Hamarneh AAML 36 40 0 03 Mar 2019
RED-Attack: Resource Efficient Decision based Attack for Machine Learning Faiq Khalid Hassan Ali Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Mohamed Bennai AAML 36 14 0 29 Jan 2019
Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples Kamil Nar Orhan Ocal S. Shankar Sastry Kannan Ramchandran AAML 27 54 0 24 Jan 2019
Image Super-Resolution as a Defense Against Adversarial Attacks Aamir Mustafa Salman H. Khan Munawar Hayat Jianbing Shen Ling Shao AAML SupR 32 171 0 07 Jan 2019
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 18 60 0 10 Dec 2018
A randomized gradient-free attack on ReLU networks Francesco Croce Matthias Hein AAML 37 21 0 28 Nov 2018
MixTrain: Scalable Training of Verifiably Robust Neural Networks Yue Zhang Yizheng Chen Ahmed Abdou Mohsen Guizani AAML 27 23 0 06 Nov 2018
SSCNets: Robustifying DNNs using Secure Selective Convolutional Filters Hassan Ali Faiq Khalid Hammad Tariq Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Mohamed Bennai AAML 52 14 0 04 Nov 2018
QuSecNets: Quantization-based Defense Mechanism for Securing Deep Neural Network against Adversarial Attacks Faiq Khalid Hassan Ali Hammad Tariq Muhammad Abdullah Hanif Semeen Rehman Rehan Ahmed Mohamed Bennai AAML MQ 40 37 0 04 Nov 2018
Improved robustness to adversarial examples using Lipschitz regularization of the loss Chris Finlay Adam M. Oberman B. Abbasi 32 34 0 01 Oct 2018
Effects of Degradations on Deep Neural Network Architectures Prasun Roy Subhankar Ghosh Saumik Bhattacharya Umapada Pal 30 133 0 26 Jul 2018
Vulnerability Analysis of Chest X-Ray Image Classification Against Adversarial Attacks Saeid Asgari Taghanaki A. Das Ghassan Hamarneh MedIm 43 52 0 09 Jul 2018
Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations Dan Hendrycks Thomas G. Dietterich OOD 27 197 0 04 Jul 2018
Non-Negative Networks Against Adversarial Attacks William Fleshman Edward Raff Jared Sylvester Steven Forsyth Mark McLean AAML 27 41 0 15 Jun 2018
Hierarchical interpretations for neural network predictions Chandan Singh W. James Murdoch Bin Yu 33 145 0 14 Jun 2018
PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks Jan Svoboda Jonathan Masci Federico Monti M. Bronstein Leonidas Guibas AAML GNN 38 41 0 31 May 2018
Laplacian Networks: Bounding Indicator Function Smoothness for Neural Network Robustness Carlos Lassance Vincent Gripon Antonio Ortega AAML 29 16 0 24 May 2018
Cautious Deep Learning Yotam Hechtlinger Barnabás Póczós Larry A. Wasserman 40 63 0 24 May 2018
Towards the first adversarially robust neural network model on MNIST Lukas Schott Jonas Rauber Matthias Bethge Wieland Brendel AAML OOD 27 368 0 23 May 2018
A Simple Cache Model for Image Recognition Emin Orhan VLM 41 30 0 21 May 2018
Generalizability vs. Robustness: Adversarial Examples for Medical Imaging Magdalini Paschali Sailesh Conjeti Fernando Navarro Nassir Navab OOD MedIm AAML 27 91 0 23 Mar 2018
Defending against Adversarial Attack towards Deep Neural Networks via Collaborative Multi-task Training Derui Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 41 29 0 14 Mar 2018
Retrieval-Augmented Convolutional Neural Networks for Improved Robustness against Adversarial Examples Jake Zhao Kyunghyun Cho AAML 49 20 0 26 Feb 2018
Unravelling Robustness of Deep Learning based Face Recognition Against Adversarial Attacks Gaurav Goswami Nalini Ratha Akshay Agarwal Richa Singh Mayank Vatsa AAML 35 165 0 22 Feb 2018
Generalizable Adversarial Examples Detection Based on Bi-model Decision Mismatch João Monteiro Isabela Albuquerque Zahid Akhtar T. Falk AAML 46 29 0 21 Feb 2018
First-order Adversarial Vulnerability of Neural Networks and Input Dimension Carl-Johann Simon-Gabriel Yann Ollivier Léon Bottou Bernhard Schölkopf David Lopez-Paz AAML 32 48 0 05 Feb 2018
Improving Network Robustness against Adversarial Attacks with Compact Convolution Rajeev Ranjan S. Sankaranarayanan Carlos D. Castillo Rama Chellappa AAML 24 14 0 03 Dec 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning Xilai Li Xi Song Tianfu Wu 37 25 0 15 Nov 2017
Attacking Binarized Neural Networks A. Galloway Graham W. Taylor M. Moussa MQ AAML 14 104 0 01 Nov 2017