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DeepFool: a simple and accurate method to fool deep neural networks

14 November 2015

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "DeepFool: a simple and accurate method to fool deep neural networks"

50 / 2,298 papers shown

Title
Liuer Mihou: A Practical Framework for Generating and Evaluating Grey-box Adversarial Attacks against NIDS Ke He Dan Dongseong Kim Jing Sun J. Yoo Young Hun Lee H. Kim AAML 21 5 0 12 Apr 2022
Anti-Adversarially Manipulated Attributions for Weakly Supervised Semantic Segmentation and Object Localization Jungbeom Lee Eunji Kim J. Mok Sung-Hoon Yoon WSOL 111 32 0 11 Apr 2022
Measuring the False Sense of Security Carlos Gomes AAML 51 0 0 10 Apr 2022
Adaptive-Gravity: A Defense Against Adversarial Samples Ali Mirzaeian Zhi Tian Sai Manoj P D B. S. Latibari I. Savidis Houman Homayoun Avesta Sasan AAML OOD 40 1 0 07 Apr 2022
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings Yuhao Mao Chong Fu Sai-gang Wang S. Ji Xuhong Zhang Zhenguang Liu Junfeng Zhou A. Liu R. Beyah Ting Wang AAML 105 19 0 07 Apr 2022
Optimization Models and Interpretations for Three Types of Adversarial Perturbations against Support Vector Machines Wen Su Qingna Li Chunfeng Cui AAML 48 1 0 07 Apr 2022
Adversarial Robustness through the Lens of Convolutional Filters Paul Gavrikov J. Keuper 70 15 0 05 Apr 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 93 9 0 02 Apr 2022
Supervised Robustness-preserving Data-free Neural Network Pruning Mark Huasong Meng Guangdong Bai Sin Gee Teo Jin Song Dong AAML 96 4 0 02 Apr 2022
FrequencyLowCut Pooling -- Plug & Play against Catastrophic Overfitting Julia Grabinski Steffen Jung J. Keuper Margret Keuper AAML 73 22 0 01 Apr 2022
Scalable Whitebox Attacks on Tree-based Models Giuseppe Castiglione G. Ding Masoud Hashemi C. Srinivasa Ga Wu AAML 23 1 0 31 Mar 2022
StyleFool: Fooling Video Classification Systems via Style Transfer Yu Cao Xi Xiao Ruoxi Sun Derui Wang Minhui Xue Sheng Wen AAML 118 26 0 30 Mar 2022
NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models Simin Chen Zihe Song Mirazul Haque Cong Liu Wei Yang 66 42 0 29 Mar 2022
Boosting Black-Box Adversarial Attacks with Meta Learning Junjie Fu Jian Sun Chongqing AAML 34 4 0 28 Mar 2022
A Survey of Robust Adversarial Training in Pattern Recognition: Fundamental, Theory, and Methodologies Zhuang Qian Kaizhu Huang Qiufeng Wang Xu-Yao Zhang OOD AAML ObjD 128 73 0 26 Mar 2022
Trojan Horse Training for Breaking Defenses against Backdoor Attacks in Deep Learning Arezoo Rajabi Bhaskar Ramasubramanian Radha Poovendran AAML 112 5 0 25 Mar 2022
NPC: Neuron Path Coverage via Characterizing Decision Logic of Deep Neural Networks Xiaofei Xie Tianlin Li Jian-Xun Wang Lei Ma Qing Guo Felix Juefei Xu Yang Liu AAML 87 55 0 24 Mar 2022
Making DeepFakes more spurious: evading deep face forgery detection via trace removal attack Chi Liu Huajie Chen Tianqing Zhu Jun Zhang Wanlei Zhou AAML 69 24 0 22 Mar 2022
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike Johannes Schneider Giovanni Apruzzese AAML 132 8 0 18 Mar 2022
Neural Predictor for Black-Box Adversarial Attacks on Speech Recognition Marie Biolková Bac Nguyen AAML 37 2 0 18 Mar 2022
Leveraging Adversarial Examples to Quantify Membership Information Leakage Ganesh Del Grosso Hamid Jalalzai Georg Pichler C. Palamidessi Pablo Piantanida MIACV 77 23 0 17 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box methods is easy Nicholas A. Lord Romain Mueller Luca Bertinetto AAML MLAU 141 25 0 16 Mar 2022
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations? Y. Fu Shunyao Zhang Shan-Hung Wu Cheng Wan Yingyan Lin AAML 113 67 0 16 Mar 2022
Active Learning by Feature Mixing Amin Parvaneh Ehsan Abbasnejad Damien Teney Reza Haffari Anton Van Den Hengel Javen Qinfeng Shi 81 94 0 14 Mar 2022
LAS-AT: Adversarial Training with Learnable Attack Strategy Xiaojun Jia Yong Zhang Baoyuan Wu Ke Ma Jue Wang Xiaochun Cao AAML 76 140 0 13 Mar 2022
Block-Sparse Adversarial Attack to Fool Transformer-Based Text Classifiers Sahar Sadrizadeh Ljiljana Dolamic P. Frossard AAML 118 10 0 11 Mar 2022
Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack Ye Liu Yaya Cheng Lianli Gao Xianglong Liu Qilong Zhang Jingkuan Song AAML 109 61 0 10 Mar 2022
Robust Federated Learning Against Adversarial Attacks for Speech Emotion Recognition Yi Chang Sofiane Laridi Zhao Ren Gregory Palmer Björn W. Schuller M. Fisichella FedML AAML 72 14 0 09 Mar 2022
Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection João Vitorino Nuno Oliveira Isabel Praça AAML 58 29 0 08 Mar 2022
Data augmentation with mixtures of max-entropy transformations for filling-level classification Apostolos Modas Andrea Cavallaro P. Frossard 95 0 0 08 Mar 2022
Adversarial Texture for Fooling Person Detectors in the Physical World Zhan Hu Siyuan Huang Xiaopei Zhu Gang Hua Bo Zhang Xiaolin Hu AAML 77 108 0 07 Mar 2022
Hybrid Deep Learning Model using SPCAGAN Augmentation for Insider Threat Analysis Gayathri R.G. Atul Sajjanhar Yong Xiang AAML 62 8 0 06 Mar 2022
Adversarial Patterns: Building Robust Android Malware Classifiers Dipkamal Bhusal Nidhi Rastogi AAML 107 1 0 04 Mar 2022
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 43 19 0 03 Mar 2022
Towards Robust Stacked Capsule Autoencoder with Hybrid Adversarial Training Jiazhu Dai Siwei Xiong AAML 48 2 0 28 Feb 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 97 25 0 28 Feb 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 92 13 0 26 Feb 2022
ARIA: Adversarially Robust Image Attribution for Content Provenance Maksym Andriushchenko Xiaochen Li Geoffrey Oxholm Thomas Gittings Tu Bui Nicolas Flammarion John Collomosse AAML 44 2 0 25 Feb 2022
MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest Shucen Ma Jianqi Shi Yanhong Huang Shengchao Qin Zhe Hou AAML 59 4 0 25 Feb 2022
Understanding Adversarial Robustness from Feature Maps of Convolutional Layers Cong Xu Wei Zhang Jun Wang Min Yang AAML 62 2 0 25 Feb 2022
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models Spyridon Mouselinos Henryk Michalewski Mateusz Malinowski 69 3 0 24 Feb 2022
Improving Robustness of Convolutional Neural Networks Using Element-Wise Activation Scaling Zhi-Yuan Zhang Di Liu AAML 17 1 0 24 Feb 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 76 14 0 23 Feb 2022
Universal adversarial perturbation for remote sensing images Qingyu Wang Jin Tang Z. Yin Bin Luo AAML 57 5 0 22 Feb 2022
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey Ngoc Dung Huynh Mohamed Reda Bouadjenek Imran Razzak Kevin Lee Chetan Arora Ali Hassani A. Zaslavsky AAML 61 6 0 22 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 87 30 0 21 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 120 124 0 21 Feb 2022
Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems Mohamad Fazelnia I. Khokhlov Mehdi Mirakhorli AAML 28 5 0 18 Feb 2022
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations Zirui Peng Shaofeng Li Guoxing Chen Cheng Zhang Haojin Zhu Minhui Xue AAML FedML 117 68 0 17 Feb 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 72 7 0 15 Feb 2022