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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"

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Title
Evaluating the Cybersecurity Risk of Real World, Machine Learning Production Systems Ron Bitton Nadav Maman Inderjeet Singh Satoru Momiyama Yuval Elovici A. Shabtai 111 19 0 05 Jul 2021
Using Anomaly Feature Vectors for Detecting, Classifying and Warning of Outlier Adversarial Examples Nelson Manohar-Alers Ryan Feng Sahib Singh Jiguo Song Atul Prakash AAML 29 1 0 01 Jul 2021
Adversarial Machine Learning for Cybersecurity and Computer Vision: Current Developments and Challenges B. Xi AAML 44 29 0 30 Jun 2021
Understanding Adversarial Examples Through Deep Neural Network's Response Surface and Uncertainty Regions Juan Shu B. Xi Charles A. Kamhoua AAML 100 0 0 30 Jun 2021
Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices Tao Bai Jinqi Luo Jun Zhao AAML 67 30 0 29 Jun 2021
Countering Adversarial Examples: Combining Input Transformation and Noisy Training Cheng Zhang Pan Gao AAML 41 3 0 25 Jun 2021
Minimum sharpness: Scale-invariant parameter-robustness of neural networks Hikaru Ibayashi Takuo Hamaguchi Masaaki Imaizumi 64 5 0 23 Jun 2021
Estimating the Robustness of Classification Models by the Structure of the Learned Feature-Space Kalun Ho Franz-Josef Pfreundt J. Keuper Margret Keuper OOD UQCV 50 3 0 23 Jun 2021
NCIS: Neural Contextual Iterative Smoothing for Purifying Adversarial Perturbations Sungmin Cha Naeun Ko Young Joon Yoo Taesup Moon AAML 49 2 0 22 Jun 2021
Delving into the pixels of adversarial samples Blerta Lindqvist AAML 37 0 0 21 Jun 2021
Attack to Fool and Explain Deep Networks Naveed Akhtar M. Jalwana Bennamoun Ajmal Mian AAML 106 33 0 20 Jun 2021
Group-Structured Adversarial Training Farzan Farnia Amirali Aghazadeh James Zou David Tse AAML 151 0 0 18 Jun 2021
Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks Emre Ozfatura Muhammad Zaid Hameed Kerem Ozfatura Deniz Gunduz AAML 18 1 0 18 Jun 2021
Residual Error: a New Performance Measure for Adversarial Robustness Hossein Aboutalebi M. Shafiee Michelle Karg C. Scharfenberger Alexander Wong AAML 21 1 0 18 Jun 2021
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis Martin Pawelczyk Chirag Agarwal Shalmali Joshi Sohini Upadhyay Himabindu Lakkaraju AAML 82 53 0 18 Jun 2021
Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples Maura Pintor Christian Scano Angelo Sotgiu Ambra Demontis Nicholas Carlini Battista Biggio Fabio Roli AAML 88 28 0 18 Jun 2021
Analyzing Adversarial Robustness of Deep Neural Networks in Pixel Space: a Semantic Perspective Lina Wang Xingshu Chen Yulong Wang Yawei Yue Yi Zhu Xuemei Zeng Wei Wang AAML 46 0 0 18 Jun 2021
Adversarial Visual Robustness by Causal Intervention Kaihua Tang Ming Tao Hanwang Zhang CML AAML 85 21 0 17 Jun 2021
CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing Fan Wu Linyi Li Zijian Huang Yevgeniy Vorobeychik Ding Zhao Yue Liu AAML OffRL 85 60 0 17 Jun 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks Yulong Cao* Ningfei Wang* Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Qi Alfred Chen Mingyan D. Liu Yue Liu AAML 101 226 0 17 Jun 2021
Evaluating the Robustness of Bayesian Neural Networks Against Different Types of Attacks Yutian Pang Sheng Cheng Jueming Hu Yongming Liu AAML 120 12 0 17 Jun 2021
Effective Evaluation of Deep Active Learning on Image Classification Tasks Nathan Beck D. Sivasubramanian Apurva Dani Ganesh Ramakrishnan Rishabh K. Iyer VLM 76 39 0 16 Jun 2021
Real-time Adversarial Perturbations against Deep Reinforcement Learning Policies: Attacks and Defenses Buse G. A. Tekgul Shelly Wang Samuel Marchal Nadarajah Asokan AAML OffRL 63 6 0 16 Jun 2021
Towards Adversarial Robustness via Transductive Learning Jiefeng Chen Yang Guo Xi Wu Tianqi Li Qicheng Lao Yingyu Liang S. Jha AAML 45 5 0 15 Jun 2021
Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images Vishal Asnani Xi Yin Tal Hassner Xiaoming Liu 99 73 0 15 Jun 2021
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers Carl-Johann Simon-Gabriel N. Sheikh Andreas Krause SILM AAML 51 3 0 14 Jun 2021
Certification of embedded systems based on Machine Learning: A survey Guillaume Vidot Christophe Gabreau I. Ober Iulian Ober 51 12 0 14 Jun 2021
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks Utku Ozbulak Esla Timothy Anzaku W. D. Neve Arnout Van Messem AAML 148 10 0 14 Jun 2021
Deep Learning for Predictive Analytics in Reversible Steganography Ching-Chun Chang Xu Wang Sisheng Chen Isao Echizen Victor Sanchez Chang-Tsun Li 47 8 0 13 Jun 2021
CARTL: Cooperative Adversarially-Robust Transfer Learning Dian Chen Hongxin Hu Qian Wang Yinli Li Cong Wang Chao Shen Qi Li 48 14 0 12 Jun 2021
Scale-invariant scale-channel networks: Deep networks that generalise to previously unseen scales Ylva Jansson T. Lindeberg 91 24 0 11 Jun 2021
CausalAdv: Adversarial Robustness through the Lens of Causality Yonggang Zhang Biwei Huang Tongliang Liu Gang Niu Xinmei Tian Bo Han Bernhard Schölkopf Kun Zhang OOD AAML CML 82 36 0 11 Jun 2021
HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks Mohammad Hossein Samavatian Saikat Majumdar Kristin Barber R. Teodorescu AAML 121 4 0 09 Jun 2021
Network insensitivity to parameter noise via adversarial regularization Julian Büchel F. Faber Dylan R. Muir AAML 46 6 0 09 Jun 2021
Attacking Adversarial Attacks as A Defense Boxi Wu Heng Pan Li Shen Jindong Gu Shuai Zhao Zhifeng Li Deng Cai Xiaofei He Wei Liu AAML 93 32 0 09 Jun 2021
Generative Adversarial Networks: A Survey Towards Private and Secure Applications Zhipeng Cai Zuobin Xiong Honghui Xu Peng-Shuai Wang Wei Li Yi-Lun Pan 79 148 0 07 Jun 2021
Reveal of Vision Transformers Robustness against Adversarial Attacks Ahmed Aldahdooh W. Hamidouche Olivier Déforges ViT 55 60 0 07 Jun 2021
Feature-based Style Randomization for Domain Generalization Yue Wang Lei Qi Yinghuan Shi Yang Gao OOD 96 51 0 06 Jun 2021
RDA: Robust Domain Adaptation via Fourier Adversarial Attacking Jiaxing Huang Dayan Guan Aoran Xiao Shijian Lu AAML 113 77 0 05 Jun 2021
Ensemble Defense with Data Diversity: Weak Correlation Implies Strong Robustness Renjue Li Hanwei Zhang Pengfei Yang Cheng-Chao Huang Aimin Zhou Bai Xue Lijun Zhang FedML AAML 38 4 0 05 Jun 2021
Revisiting Hilbert-Schmidt Information Bottleneck for Adversarial Robustness Zifeng Wang T. Jian A. Masoomi Stratis Ioannidis Jennifer Dy AAML 69 26 0 04 Jun 2021
BO-DBA: Query-Efficient Decision-Based Adversarial Attacks via Bayesian Optimization Zhuosheng Zhang Shucheng Yu AAML 46 1 0 04 Jun 2021
A Little Robustness Goes a Long Way: Leveraging Robust Features for Targeted Transfer Attacks Jacob Mitchell Springer Melanie Mitchell Garrett Kenyon AAML 80 44 0 03 Jun 2021
A Comparison for Anti-noise Robustness of Deep Learning Classification Methods on a Tiny Object Image Dataset: from Convolutional Neural Network to Visual Transformer and Performer Ao Chen Chen Li Hao Chen Hechen Yang Penghui Zhao Weiming Hu Wanli Liu Shuojia Zou M. Grzegorzek 42 2 0 03 Jun 2021
Transferable Adversarial Examples for Anchor Free Object Detection Quanyu Liao Xin Wang Bin Kong Siwei Lyu Bin Zhu Youbing Yin Qi Song Xi Wu AAML 42 9 0 03 Jun 2021
Improving the Transferability of Adversarial Examples with New Iteration Framework and Input Dropout Pengfei Xie Linyuan Wang Ruoxi Qin Kai Qiao S. Shi Guoen Hu Bin Yan AAML 41 8 0 03 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection Quanyu Liao Yuezun Li Xiaoqiang Guo Bin Kong Yingxin Zhu Jianlei Liu Zhuqing Jiang Qi Song Xi Wu AAML 154 33 0 03 Jun 2021
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack Alexander Matyasko Lap-Pui Chau AAML 47 8 0 03 Jun 2021
Dominant Patterns: Critical Features Hidden in Deep Neural Networks Zhixing Ye S. Qin Sizhe Chen Xiaolin Huang AAML 65 2 0 31 May 2021
Query Attack by Multi-Identity Surrogates Sizhe Chen Zhehao Huang Qinghua Tao Xiaolin Huang AAML 86 4 0 31 May 2021