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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
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks Chunfeng Cui Kaiqi Zhang Talgat Daulbaev Julia Gusak Ivan Oseledets Zheng Zhang AAML 61 25 0 29 Oct 2019
EdgeFool: An Adversarial Image Enhancement Filter Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro AAML 54 23 0 27 Oct 2019
Adversarial Defense via Local Flatness Regularization Jia Xu Yiming Li Yong Jiang Shutao Xia AAML 103 18 0 27 Oct 2019
Understanding and Quantifying Adversarial Examples Existence in Linear Classification Xupeng Shi A. Ding AAML 48 3 0 27 Oct 2019
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries Xingxing Zhang Shupeng Gui Zhenfeng Zhu Yao Zhao Ji Liu VLM 56 6 0 24 Oct 2019
Adversarial Example Detection by Classification for Deep Speech Recognition Saeid Samizade Zheng-Hua Tan Chao Shen X. Guan AAML 79 35 0 22 Oct 2019
An Alternative Surrogate Loss for PGD-based Adversarial Testing Sven Gowal J. Uesato Chongli Qin Po-Sen Huang Timothy A. Mann Pushmeet Kohli AAML 107 90 0 21 Oct 2019
Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning Jiaying Lu Xin Ye Yi Ren Yezhou Yang 78 10 0 21 Oct 2019
Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification Songxiang Liu Haibin Wu Hung-yi Lee Helen Meng AAML 68 65 0 19 Oct 2019
SPARK: Spatial-aware Online Incremental Attack Against Visual Tracking Qing Guo Xiaofei Xie Felix Juefei-Xu Lei Ma Zhongguo Li Wanli Xue Wei Feng Yang Liu AAML 56 4 0 19 Oct 2019
A Fast Saddle-Point Dynamical System Approach to Robust Deep Learning Yasaman Esfandiari Aditya Balu K. Ebrahimi Umesh Vaidya N. Elia Soumik Sarkar OOD 59 3 0 18 Oct 2019
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 205 103 0 17 Oct 2019
Adversarial Examples for Models of Code Noam Yefet Uri Alon Eran Yahav SILM AAML MLAU 132 169 0 15 Oct 2019
How a minimal learning agent can infer the existence of unobserved variables in a complex environment K. Ried B. Eva Thomas Müller Hans J. Briegel 70 15 0 15 Oct 2019
Understanding Misclassifications by Attributes Sadaf Gulshad Zeynep Akata J. H. Metzen A. Smeulders AAML 95 0 0 15 Oct 2019
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks Fuyuan Zhang Sankalan Pal Chowdhury M. Christakis AAML 58 8 0 14 Oct 2019
Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models Derui Wang Wang Chaoran Li S. Wen Surya Nepal Yang Xiang AAML 34 35 0 14 Oct 2019
Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems H. Abdullah Muhammad Sajidur Rahman Washington Garcia Logan Blue Kevin Warren Anurag Swarnim Yadav T. Shrimpton Patrick Traynor AAML 75 88 0 11 Oct 2019
Noise as a Resource for Learning in Knowledge Distillation Elahe Arani F. Sarfraz Bahram Zonooz 57 6 0 11 Oct 2019
Universal Adversarial Perturbation for Text Classification Hang Gao Tim Oates AAML 108 15 0 10 Oct 2019
SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations Ali Dabouei Sobhan Soleymani Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi AAML 144 19 0 08 Oct 2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies Laurent Meunier Cen Chen Li Wang MLAU AAML 133 40 0 05 Oct 2019
Perturbations are not Enough: Generating Adversarial Examples with Spatial Distortions He Zhao Trung Le Paul Montague O. Vel Tamas Abraham Dinh Q. Phung AAML 62 8 0 03 Oct 2019
Adversarially Robust Few-Shot Learning: A Meta-Learning Approach Micah Goldblum Liam H. Fowl Tom Goldstein 83 13 0 02 Oct 2019
An Efficient and Margin-Approaching Zero-Confidence Adversarial Attack Yang Zhang Shiyu Chang Mo Yu Kaizhi Qian AAML 29 2 0 01 Oct 2019
Role of Spatial Context in Adversarial Robustness for Object Detection Aniruddha Saha Akshayvarun Subramanya Koninika Patil Hamed Pirsiavash ObjD AAML 112 54 0 30 Sep 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 96 18 0 27 Sep 2019
Lower Bounds on Adversarial Robustness from Optimal Transport A. Bhagoji Daniel Cullina Prateek Mittal OOD OT AAML 70 94 0 26 Sep 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 108 398 0 23 Sep 2019
HAWKEYE: Adversarial Example Detector for Deep Neural Networks Jinkyu Koo Michael A. Roth S. Bagchi AAML 232 3 0 22 Sep 2019
COPYCAT: Practical Adversarial Attacks on Visualization-Based Malware Detection Aminollah Khormali Ahmed A. Abusnaina Songqing Chen Daehun Nyang Aziz Mohaisen AAML 58 27 0 20 Sep 2019
Adversarial Learning with Margin-based Triplet Embedding Regularization Yaoyao Zhong Weihong Deng AAML 91 50 0 20 Sep 2019
Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks Sekitoshi Kanai Yasutoshi Ida Yasuhiro Fujiwara Masanori Yamada S. Adachi AAML 44 1 0 19 Sep 2019
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 79 680 0 17 Sep 2019
Generating Black-Box Adversarial Examples for Text Classifiers Using a Deep Reinforced Model Prashanth Vijayaraghavan D. Roy AAML 49 36 0 17 Sep 2019
HAD-GAN: A Human-perception Auxiliary Defense GAN to Defend Adversarial Examples Wanting Yu Hongyi Yu Lingyun Jiang Mengli Zhang Kai Qiao GAN AAML 27 0 0 17 Sep 2019
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors Gilad Cohen Guillermo Sapiro Raja Giryes TDI 73 128 0 15 Sep 2019
Wasserstein Diffusion Tikhonov Regularization A. Lin Yonatan Dukler Wuchen Li Guido Montúfar 38 2 0 15 Sep 2019
White-Box Adversarial Defense via Self-Supervised Data Estimation Zudi Lin Hanspeter Pfister Ziming Zhang AAML 23 2 0 13 Sep 2019
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix Yaxin Peng Chaomin Shen Guixu Zhang Jinsong Fan AAML 41 13 0 13 Sep 2019
On educating machines George Leu Jiangjun Tang AI4CE 27 0 0 13 Sep 2019
An Empirical Investigation of Randomized Defenses against Adversarial Attacks Yannik Potdevin Dirk Nowotka Vijay Ganesh AAML 49 4 0 12 Sep 2019
Inspecting adversarial examples using the Fisher information Jörg Martin Clemens Elster AAML 50 15 0 12 Sep 2019
Feedback Learning for Improving the Robustness of Neural Networks Chang Song Zuoguan Wang H. Li AAML 65 7 0 12 Sep 2019
Sparse and Imperceivable Adversarial Attacks Francesco Croce Matthias Hein AAML 110 199 0 11 Sep 2019
Effectiveness of Adversarial Examples and Defenses for Malware Classification Robert Podschwadt Hassan Takabi AAML 52 11 0 10 Sep 2019
FDA: Feature Disruptive Attack Aditya Ganeshan S. VivekB. R. Venkatesh Babu AAML 118 105 0 10 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors Lifeng Huang Chengying Gao Yuyin Zhou Cihang Xie Alan Yuille C. Zou Ning Liu AAML 182 168 0 10 Sep 2019
Learning to Disentangle Robust and Vulnerable Features for Adversarial Detection Byunggill Joe Sung Ju Hwang I. Shin AAML 35 1 0 10 Sep 2019
BOSH: An Efficient Meta Algorithm for Decision-based Attacks Zhenxin Xiao Puyudi Yang Yuchen Eleanor Jiang Kai-Wei Chang Cho-Jui Hsieh AAML 35 1 0 10 Sep 2019