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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
Robust Semantic Communications with Masked VQ-VAE Enabled Codebook Qiyu Hu Guangyi Zhang Zhijin Qin Yunlong Cai Guanding Yu Geoffrey Ye Li AAML 96 150 0 08 Jun 2022
Wavelet Regularization Benefits Adversarial Training Jun Yan Huilin Yin Xiaoyang Deng Zi-qin Zhao Wancheng Ge Hao Zhang Gerhard Rigoll AAML 85 2 0 08 Jun 2022
LADDER: Latent Boundary-guided Adversarial Training Xiaowei Zhou Ivor W. Tsang Jie Yin AAML 47 7 0 08 Jun 2022
Toward Certified Robustness Against Real-World Distribution Shifts Haoze Wu Teruhiro Tagomori Alexander Robey Fengjun Yang Nikolai Matni George Pappas Hamed Hassani C. Păsăreanu Clark W. Barrett AAML OOD 115 18 0 08 Jun 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 85 20 0 07 Jun 2022
Certified Robustness in Federated Learning Motasem Alfarra Juan C. Pérez Egor Shulgin Peter Richtárik Guohao Li AAML FedML 91 8 0 06 Jun 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack Zeyu Dai Shengcai Liu Jiaheng Zhang Qing Li AAML 105 11 0 04 Jun 2022
Adversarial Unlearning: Reducing Confidence Along Adversarial Directions Amrith Rajagopal Setlur Benjamin Eysenbach Virginia Smith Sergey Levine 73 18 0 03 Jun 2022
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection Linhai Ma Liang Liang OOD 76 6 0 02 Jun 2022
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs Chen-Hao Hu Yilong Wang Kalibinuer Tiliwalidi Wen Li AAML 118 17 0 02 Jun 2022
FACM: Intermediate Layer Still Retain Effective Features against Adversarial Examples Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 79 0 0 02 Jun 2022
Adversarial RAW: Image-Scaling Attack Against Imaging Pipeline Junjian Li Honglong Chen AAML 37 2 0 02 Jun 2022
On the reversibility of adversarial attacks C. Li Ricardo Sánchez-Matilla Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML 47 2 0 01 Jun 2022
Attack-Agnostic Adversarial Detection Jiaxin Cheng Mohamed Hussein J. Billa Wael AbdAlmageed AAML 63 0 0 01 Jun 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems Zeyan Liu Fengjun Li Jingqiang Lin Zhu Li Bo Luo AAML 52 2 0 31 May 2022
Searching for the Essence of Adversarial Perturbations Dennis Y. Menn Tzu-hsun Feng Hung-yi Lee AAML 26 1 0 30 May 2022
Superclass Adversarial Attack Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 72 1 0 29 May 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems Alberto Marchisio Giovanni Caramia Maurizio Martina Mohamed Bennai AAML 70 8 0 27 May 2022
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 177 102 0 26 May 2022
Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks Sizhe Chen Zhehao Huang Qinghua Tao Yingwen Wu Cihang Xie Xiaolin Huang AAML 199 28 0 24 May 2022
OPOM: Customized Invisible Cloak towards Face Privacy Protection Yaoyao Zhong Weihong Deng PICV 80 34 0 24 May 2022
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 75 11 0 21 May 2022
Gradient Concealment: Free Lunch for Defending Adversarial Attacks Sen Pei Jiaxi Sun Xiaopeng Zhang Gaofeng Meng AAML 65 0 0 21 May 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems Soma Kontár A. Horváth AAML 69 1 0 21 May 2022
Robust Sensible Adversarial Learning of Deep Neural Networks for Image Classification Jungeum Kim Tianlin Li OOD AAML 26 3 0 20 May 2022
Defending Against Adversarial Attacks by Energy Storage Facility Jiawei Li Jianxiao Wang Lin Chen Yang Yu AAML 25 1 0 19 May 2022
Gradient Aligned Attacks via a Few Queries Xiangyuan Yang Jie Lin Hanlin Zhang Xinyu Yang Peng Zhao AAML 74 0 0 19 May 2022
Gradient-based Counterfactual Explanations using Tractable Probabilistic Models Xiaoting Shao Kristian Kersting BDL 56 1 0 16 May 2022
Learn2Weight: Parameter Adaptation against Similar-domain Adversarial Attacks Siddhartha Datta AAML 106 5 0 15 May 2022
Evaluating Membership Inference Through Adversarial Robustness Zhaoxi Zhang L. Zhang Xufei Zheng Bilal Hussain Abbasi Shengshan Hu AAML 85 17 0 14 May 2022
MM-BD: Post-Training Detection of Backdoor Attacks with Arbitrary Backdoor Pattern Types Using a Maximum Margin Statistic Hang Wang Zhen Xiang David J. Miller G. Kesidis AAML 96 44 0 13 May 2022
Infrared Invisible Clothing:Hiding from Infrared Detectors at Multiple Angles in Real World Xiaopei Zhu Zhan Hu Siyuan Huang Jianmin Li Xiaolin Hu AAML 67 56 0 12 May 2022
Btech thesis report on adversarial attack detection and purification of adverserially attacked images Dvij Kalaria AAML 17 1 0 09 May 2022
Holistic Approach to Measure Sample-level Adversarial Vulnerability and its Utility in Building Trustworthy Systems Gaurav Kumar Nayak Ruchit Rawal Rohit Lal Himanshu Patil Anirban Chakraborty AAML 58 2 0 05 May 2022
Subverting Fair Image Search with Generative Adversarial Perturbations A. Ghosh Matthew Jagielski Chris L. Wilson 89 7 0 05 May 2022
Rethinking Classifier and Adversarial Attack Youhuan Yang Lei Sun Leyu Dai Song Guo Xiuqing Mao Xiaoqin Wang Bayi Xu AAML 57 0 0 04 May 2022
CE-based white-box adversarial attacks will not work using super-fitting Youhuan Yang Lei Sun Leyu Dai Song Guo Xiuqing Mao Xiaoqin Wang Bayi Xu AAML 104 0 0 04 May 2022
DDDM: a Brain-Inspired Framework for Robust Classification Xiyuan Chen Xingyu Li Yi Zhou Tianming Yang AAML DiffM 77 7 0 01 May 2022
Software Testing for Machine Learning D. Marijan A. Gotlieb AAML 60 29 0 30 Apr 2022
Detecting Textual Adversarial Examples Based on Distributional Characteristics of Data Representations Na Liu Mark Dras Wei Emma Zhang AAML 51 6 0 29 Apr 2022
Defending Person Detection Against Adversarial Patch Attack by using Universal Defensive Frame Youngjoon Yu Hong Joo Lee Hakmin Lee Yong Man Ro AAML 44 11 0 27 Apr 2022
A Simple Structure For Building A Robust Model Xiao Tan Jingbo Gao Ruolin Li AAML OOD 84 3 0 25 Apr 2022
A Mask-Based Adversarial Defense Scheme Weizhen Xu Chenyi Zhang Fangzhen Zhao Liangda Fang AAML 77 3 0 21 Apr 2022
Testing robustness of predictions of trained classifiers against naturally occurring perturbations S. Scher A. Trugler OOD AAML 90 1 0 21 Apr 2022
Special Session: Towards an Agile Design Methodology for Efficient, Reliable, and Secure ML Systems Shail Dave Alberto Marchisio Muhammad Abdullah Hanif Amira Guesmi Aviral Shrivastava Ihsen Alouani Mohamed Bennai 75 14 0 18 Apr 2022
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval Xunguang Wang Yinqun Lin Xuelong Li AAML GAN 82 7 0 18 Apr 2022
Learning Compositional Representations for Effective Low-Shot Generalization Samarth Mishra Pengkai Zhu Venkatesh Saligrama OCL 56 3 0 17 Apr 2022
Towards Comprehensive Testing on the Robustness of Cooperative Multi-agent Reinforcement Learning Jun Guo Yonghong Chen Yihang Hao Zixin Yin Yin Yu Simin Li AAML 106 34 0 17 Apr 2022
Revisiting the Adversarial Robustness-Accuracy Tradeoff in Robot Learning Mathias Lechner Alexander Amini Daniela Rus T. Henzinger AAML 91 10 0 15 Apr 2022
From Environmental Sound Representation to Robustness of 2D CNN Models Against Adversarial Attacks Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 108 7 0 14 Apr 2022