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"

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Title
Why adversarial training can hurt robust accuracy Jacob Clarysse Julia Hörrmann Fanny Yang AAML 15 18 0 03 Mar 2022
Limitations of Deep Learning for Inverse Problems on Digital Hardware Holger Boche Adalbert Fono Gitta Kutyniok 32 25 0 28 Feb 2022
Adversarial robustness of sparse local Lipschitz predictors Ramchandran Muthukumar Jeremias Sulam AAML 34 13 0 26 Feb 2022
MUC-driven Feature Importance Measurement and Adversarial Analysis for Random Forest Shucen Ma Jianqi Shi Yanhong Huang Shengchao Qin Zhe Hou AAML 32 4 0 25 Feb 2022
Measuring CLEVRness: Blackbox testing of Visual Reasoning Models Spyridon Mouselinos Henryk Michalewski Mateusz Malinowski 21 3 0 24 Feb 2022
LPF-Defense: 3D Adversarial Defense based on Frequency Analysis Hanieh Naderi Kimia Noorbakhsh Arian Etemadi S. Kasaei AAML 16 12 0 23 Feb 2022
Universal adversarial perturbation for remote sensing images Qingyu Wang Jin Tang Z. Yin Bin Luo AAML 30 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 34 6 0 22 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 29 29 0 21 Feb 2022
Robustness and Accuracy Could Be Reconcilable by (Proper) Definition Tianyu Pang Min Lin Xiao Yang Junyi Zhu Shuicheng Yan 32 120 0 21 Feb 2022
Attacks, Defenses, And Tools: A Framework To Facilitate Robust AI/ML Systems Mohamad Fazelnia I. Khokhlov Mehdi Mirakhorli AAML 23 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 31 66 0 17 Feb 2022
StratDef: Strategic Defense Against Adversarial Attacks in ML-based Malware Detection Aqib Rashid Jose Such AAML 24 6 0 15 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 51 16 0 15 Feb 2022
GAN-generated Faces Detection: A Survey and New Perspectives Xin Wang Hui Guo Shu Hu Ming-Ching Chang Siwei Lyu CVBM 24 63 0 15 Feb 2022
Finding Dynamics Preserving Adversarial Winning Tickets Xupeng Shi Pengfei Zheng Adam Ding Yuan Gao Weizhong Zhang AAML 29 1 0 14 Feb 2022
Excitement Surfeited Turns to Errors: Deep Learning Testing Framework Based on Excitable Neurons Haibo Jin Ruoxi Chen Haibin Zheng Jinyin Chen Yao Cheng Yue Yu Xianglong Liu AAML 28 6 0 12 Feb 2022
Adversarial Attacks and Defense Methods for Power Quality Recognition Jiwei Tian Buhong Wang Jing Li Zhen Wang Mete Ozay AAML 26 0 0 11 Feb 2022
Deadwooding: Robust Global Pruning for Deep Neural Networks Sawinder Kaur Ferdinando Fioretto Asif Salekin 27 4 0 10 Feb 2022
Feature-level augmentation to improve robustness of deep neural networks to affine transformations A. Sandru Mariana-Iuliana Georgescu Radu Tudor Ionescu OOD 16 3 0 10 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 30 18 0 08 Feb 2022
On the predictability in reversible steganography Ching-Chun Chang Xu Wang Sisheng Chen Hitoshi Kiya Isao Echizen 11 2 0 05 Feb 2022
Pixle: a fast and effective black-box attack based on rearranging pixels Jary Pomponi Simone Scardapane A. Uncini AAML 22 32 0 04 Feb 2022
Smoothed Embeddings for Certified Few-Shot Learning Mikhail Aleksandrovich Pautov Olesya Kuznetsova Nurislam Tursynbek Aleksandr Petiushko Ivan Oseledets 47 5 0 02 Feb 2022
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains Qilong Zhang Xiaodan Li YueFeng Chen Jingkuan Song Lianli Gao Yuan He Hui Xue AAML 67 64 0 27 Jan 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 27 2 0 23 Jan 2022
Post-Training Detection of Backdoor Attacks for Two-Class and Multi-Attack Scenarios Zhen Xiang David J. Miller G. Kesidis AAML 39 47 0 20 Jan 2022
Low-Pass Filtering SGD for Recovering Flat Optima in the Deep Learning Optimization Landscape Devansh Bisla Jing Wang A. Choromańska 27 34 0 20 Jan 2022
MetaV: A Meta-Verifier Approach to Task-Agnostic Model Fingerprinting Xudong Pan Yifan Yan Mi Zhang Min Yang 27 23 0 19 Jan 2022
Adversarially Robust Classification by Conditional Generative Model Inversion Mitra Alirezaei Tolga Tasdizen AAML 16 0 0 12 Jan 2022
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition Hanrui Wang Shuo Wang Zhe Jin Yandan Wang Cunjian Chen Massimo Tistarelli AAML 24 16 0 11 Jan 2022
On the Real-World Adversarial Robustness of Real-Time Semantic Segmentation Models for Autonomous Driving Giulio Rossolini F. Nesti G. D’Amico Saasha Nair Alessandro Biondi Giorgio Buttazzo AAML 33 37 0 05 Jan 2022
Sparse Super-Regular Networks Andrew W. E. McDonald A. Shokoufandeh 17 5 0 04 Jan 2022
On the Minimal Adversarial Perturbation for Deep Neural Networks with Provable Estimation Error Fabio Brau Giulio Rossolini Alessandro Biondi Giorgio Buttazzo AAML 33 7 0 04 Jan 2022
Invertible Image Dataset Protection Kejiang Chen Xianhan Zeng Qichao Ying Sheng Li Zhenxing Qian Xinpeng Zhang 33 7 0 29 Dec 2021
Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently Futa Waseda Sosuke Nishikawa Trung-Nghia Le H. Nguyen Isao Echizen SILM 36 35 0 29 Dec 2021
Constrained Gradient Descent: A Powerful and Principled Evasion Attack Against Neural Networks Weiran Lin Keane Lucas Lujo Bauer Michael K. Reiter Mahmood Sharif AAML 31 5 0 28 Dec 2021
Learning Robust and Lightweight Model through Separable Structured Transformations Xian Wei Yanhui Huang Yang Xu Mingsong Chen Hai Lan Yuanxiang Li Zhongfeng Wang Xuan Tang OOD 24 0 0 27 Dec 2021
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping B. Ghavami Seyd Movi Zhenman Fang Lesley Shannon AAML 40 9 0 25 Dec 2021
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-Pellissier François Bachoc François Malgouyres 41 15 0 24 Dec 2021
Understanding and Measuring Robustness of Multimodal Learning Nishant Vishwamitra Hongxin Hu Ziming Zhao Long Cheng Feng Luo AAML 27 5 0 22 Dec 2021
On the Adversarial Robustness of Causal Algorithmic Recourse Ricardo Dominguez-Olmedo Amir-Hossein Karimi Bernhard Schölkopf 46 63 0 21 Dec 2021
A Theoretical View of Linear Backpropagation and Its Convergence Ziang Li Yiwen Guo Haodi Liu Changshui Zhang AAML 23 3 0 21 Dec 2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines Yuxuan Zhang B. Dong Felix Heide AAML 26 8 0 16 Dec 2021
Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning Tong Chen Zhan Ma AAML 28 29 0 16 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack Xiaosen Wang Zeliang Zhang Kangheng Tong Dihong Gong Kun He Zhifeng Li Wei Liu AAML 24 56 0 13 Dec 2021
Mutual Adversarial Training: Learning together is better than going alone Jiang-Long Liu Chun Pong Lau Hossein Souri S. Feizi Ramalingam Chellappa OOD AAML 48 24 0 09 Dec 2021
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection Alexander Lehner Stefano Gasperini Alvaro Marcos-Ramiro Michael Schmidt M. N. Mahani Nassir Navab Benjamin Busam F. Tombari 3DPC 29 52 0 09 Dec 2021
Image classifiers can not be made robust to small perturbations Zheng Dai David K Gifford VLM AAML 36 1 0 07 Dec 2021
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 62 84 0 06 Dec 2021