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"

50 / 95 papers shown

Title
Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation Saiful Islam Salim Rubin Yuchan Yang Alexander Cooper Suryashree Ray Saumya Debray Sazzadur Rahaman AAML 54 0 0 12 Oct 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 40 1 0 20 Jan 2024
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang Xiaohu Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 48 78 0 28 Feb 2023
AccelAT: A Framework for Accelerating the Adversarial Training of Deep Neural Networks through Accuracy Gradient F. Nikfam Alberto Marchisio Maurizio Martina Mohamed Bennai AAML 34 0 0 13 Oct 2022
Attacking Compressed Vision Transformers Swapnil Parekh Devansh Shah Pratyush Shukla AAML 34 1 0 28 Sep 2022
Resisting Deep Learning Models Against Adversarial Attack Transferability via Feature Randomization Ehsan Nowroozi Mohammadreza Mohammadi Pargol Golmohammadi Yassine Mekdad Mauro Conti Selcuk Uluagac AAML SILM 48 13 0 11 Sep 2022
Trace and Detect Adversarial Attacks on CNNs using Feature Response Maps Mohammadreza Amirian Friedhelm Schwenker Thilo Stadelmann AAML 29 16 0 24 Aug 2022
Software Testing for Machine Learning D. Marijan A. Gotlieb AAML 30 27 0 30 Apr 2022
Demystifying the Transferability of Adversarial Attacks in Computer Networks Ehsan Nowroozi Yassine Mekdad Mohammad Hajian Berenjestanaki Mauro Conti Abdeslam El Fergougui AAML 49 32 0 09 Oct 2021
SEC4SR: A Security Analysis Platform for Speaker Recognition Guangke Chen Zhe Zhao Fu Song Sen Chen Lingling Fan Yang Liu AAML 35 12 0 04 Sep 2021
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation Han Qiu Yi Zeng Shangwei Guo Tianwei Zhang Meikang Qiu B. Thuraisingham AAML 29 191 0 13 Dec 2020
Composite Adversarial Attacks Xiaofeng Mao YueFeng Chen Shuhui Wang Hang Su Yuan He Hui Xue AAML 38 48 0 10 Dec 2020
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters Rida El-Allami Alberto Marchisio Mohamed Bennai Ihsen Alouani AAML 26 39 0 09 Dec 2020
Adversarial Attacks on Binary Image Recognition Systems Eric Balkanski Harrison W. Chase Kojin Oshiba Alexander Rilee Yaron Singer Richard Wang AAML 52 4 0 22 Oct 2020
Boosting Gradient for White-Box Adversarial Attacks Hongying Liu Zhenyu Zhou Fanhua Shang Xiaoyu Qi Yuanyuan Liu L. Jiao AAML 32 7 0 21 Oct 2020
RobustBench: a standardized adversarial robustness benchmark Francesco Croce Maksym Andriushchenko Vikash Sehwag Edoardo Debenedetti Nicolas Flammarion M. Chiang Prateek Mittal Matthias Hein VLM 234 687 0 19 Oct 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition Xinghao Yang Weifeng Liu Shengli Zhang Wei Liu Dacheng Tao AAML 27 28 0 09 Oct 2020
Bias Field Poses a Threat to DNN-based X-Ray Recognition Binyu Tian Qing Guo Felix Juefei Xu W. L. Chan Yupeng Cheng Xiaohong Li Xiaofei Xie Shengchao Qin AAML AI4CE 58 33 0 19 Sep 2020
OpenAttack: An Open-source Textual Adversarial Attack Toolkit Guoyang Zeng Fanchao Qi Qianrui Zhou Ting Zhang Zixian Ma Bairu Hou Yuan Zang Zhiyuan Liu Maosong Sun AAML 31 120 0 19 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 38 157 0 08 Sep 2020
Optimizing Information Loss Towards Robust Neural Networks Philip Sperl Konstantin Böttinger AAML 26 3 0 07 Aug 2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao Xiaoguang Han AAML 28 87 0 05 Aug 2020
From Sound Representation to Model Robustness Mohamad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 32 6 0 27 Jul 2020
Fast Differentiable Clipping-Aware Normalization and Rescaling Jonas Rauber Matthias Bethge 23 15 0 15 Jul 2020
Unifying Model Explainability and Robustness via Machine-Checkable Concepts Vedant Nanda Till Speicher John P. Dickerson Krishna P. Gummadi Muhammad Bilal Zafar AAML 24 4 0 01 Jul 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 44 99 0 23 Jun 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness Mohammadamin Tavakoli Forest Agostinelli Pierre Baldi AAML FAtt 36 39 0 16 Jun 2020
Calibrating Deep Neural Network Classifiers on Out-of-Distribution Datasets Zhihui Shao Jianyi Yang Shaolei Ren OODD 40 11 0 16 Jun 2020
Exploring the role of Input and Output Layers of a Deep Neural Network in Adversarial Defense Jay N. Paranjape R. Dubey Vijendran V. Gopalan AAML 31 2 0 02 Jun 2020
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty Xiyue Zhang Xiaofei Xie Lei Ma Xiaoning Du Q. Hu Yang Liu Jianjun Zhao Meng Sun AAML 28 76 0 24 Apr 2020
Verification of Deep Convolutional Neural Networks Using ImageStars Hoang-Dung Tran Stanley Bak Weiming Xiang Taylor T. Johnson AAML 25 127 0 12 Apr 2020
Toward Adversarial Robustness via Semi-supervised Robust Training Yiming Li Baoyuan Wu Yan Feng Yanbo Fan Yong Jiang Zhifeng Li Shutao Xia AAML 87 13 0 16 Mar 2020
Adversarial Detection and Correction by Matching Prediction Distributions G. Vacanti A. V. Looveren AAML 19 16 0 21 Feb 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 113 825 0 19 Feb 2020
Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence S. Raschka Joshua Patterson Corey J. Nolet AI4CE 39 487 0 12 Feb 2020
Analysis of Random Perturbations for Robust Convolutional Neural Networks Adam Dziedzic S. Krishnan OOD AAML 47 1 0 08 Feb 2020
Defending Adversarial Attacks via Semantic Feature Manipulation Shuo Wang Tianle Chen Surya Nepal Carsten Rudolph M. Grobler Shangyu Chen AAML 29 5 0 03 Feb 2020
Advbox: a toolbox to generate adversarial examples that fool neural networks Dou Goodman Xin Hao Yang Wang Yuesheng Wu Junfeng Xiong Huan Zhang AAML 22 54 0 13 Jan 2020
Guess First to Enable Better Compression and Adversarial Robustness Sicheng Zhu Bang An Shiyu Niu AAML 18 0 0 10 Jan 2020
MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius Runtian Zhai Chen Dan Di He Huan Zhang Boqing Gong Pradeep Ravikumar Cho-Jui Hsieh Liwei Wang OOD AAML 32 177 0 08 Jan 2020
Benchmarking Adversarial Robustness Yinpeng Dong Qi-An Fu Xiao Yang Tianyu Pang Hang Su Zihao Xiao Jun Zhu AAML 33 36 0 26 Dec 2019
CAG: A Real-time Low-cost Enhanced-robustness High-transferability Content-aware Adversarial Attack Generator Huy Phan Yi Xie Siyu Liao Jie Chen Bo Yuan AAML 24 20 0 16 Dec 2019
Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One Will Grathwohl Kuan-Chieh Wang J. Jacobsen David Duvenaud Mohammad Norouzi Kevin Swersky VLM 48 534 0 06 Dec 2019
One Man's Trash is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples Chang Xiao Changxi Zheng AAML 30 19 0 25 Nov 2019
Robustness Certificates for Sparse Adversarial Attacks by Randomized Ablation Alexander Levine Soheil Feizi AAML 41 106 0 21 Nov 2019
Defective Convolutional Networks Tiange Luo Tianle Cai Mengxiao Zhang Siyu Chen Di He Liwei Wang AAML 35 3 0 19 Nov 2019
Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks Qiyang Li Saminul Haque Cem Anil James Lucas Roger C. Grosse Joern-Henrik Jacobsen 28 114 0 03 Nov 2019
Effectiveness of random deep feature selection for securing image manipulation detectors against adversarial examples Mauro Barni Ehsan Nowroozi B. Tondi Bowen Zhang AAML 21 17 0 25 Oct 2019
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms Qianyu Guo Sen Chen Xiaofei Xie Lei Ma Q. Hu Hongtao Liu Yang Liu Jianjun Zhao Xiaohong Li 43 122 0 15 Sep 2019
Sparse and Imperceivable Adversarial Attacks Francesco Croce Matthias Hein AAML 39 199 0 11 Sep 2019