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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
Shape Defense Against Adversarial Attacks Ali Borji AAML 31 1 0 31 Aug 2020
Color and Edge-Aware Adversarial Image Perturbations R. Bassett Mitchell Graves Patrick Reilly AAML 29 6 0 28 Aug 2020
Adversarially Robust Learning via Entropic Regularization Gauri Jagatap Ameya Joshi A. B. Chowdhury S. Garg Chinmay Hegde OOD 128 11 0 27 Aug 2020
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks Shasha Li K. Khalil Yikang Shen Chengyu Song S. Krishnamurthy Amit K. Roy-Chowdhury A. Swami AAML 36 2 0 26 Aug 2020
Adversarially Training for Audio Classifiers Raymel Alfonso Sallo Mohammad Esmaeilpour P. Cardinal AAML 47 8 0 26 Aug 2020
Point Adversarial Self Mining: A Simple Method for Facial Expression Recognition Ping Liu Yuewei Lin Zibo Meng Lu Lu Weihong Deng Qiufeng Wang Yi Yang 94 27 0 26 Aug 2020
Yet Another Intermediate-Level Attack Qizhang Li Yiwen Guo Hao Chen AAML 59 52 0 20 Aug 2020
Prevalence of Neural Collapse during the terminal phase of deep learning training Vardan Papyan Xuemei Han D. Donoho 261 582 0 18 Aug 2020
Improving adversarial robustness of deep neural networks by using semantic information Lina Wang Rui Tang Yawei Yue Xingshu Chen Wei Wang Yi Zhu Xuemei Zeng AAML 56 14 0 18 Aug 2020
A Deep Dive into Adversarial Robustness in Zero-Shot Learning M. K. Yucel R. G. Cinbis P. D. Sahin VLM 68 7 0 17 Aug 2020
AP-Loss for Accurate One-Stage Object Detection Kean Chen Weiyao Lin Jianguo Li John See Ji Wang Junni Zou ObjD 92 66 0 17 Aug 2020
Adversarial Concurrent Training: Optimizing Robustness and Accuracy Trade-off of Deep Neural Networks Elahe Arani F. Sarfraz Bahram Zonooz AAML 60 9 0 16 Aug 2020
Adversarial Filters for Secure Modulation Classification A. Berian K. Staab N. Teku G. Ditzler T. Bose Ravi Tandon AAML 73 7 0 15 Aug 2020
On the Generalization Properties of Adversarial Training Yue Xing Qifan Song Guang Cheng AAML 78 34 0 15 Aug 2020
Generating Image Adversarial Examples by Embedding Digital Watermarks Yuexin Xiang Tiantian Li Wei Ren Tianqing Zhu K. Choo AAML WIGM 25 7 0 14 Aug 2020
Semantically Adversarial Learnable Filters Ali Shahin Shamsabadi Changjae Oh Andrea Cavallaro GAN 87 6 0 13 Aug 2020
RGB cameras failures and their effects in autonomous driving applications Andrea Ceccarelli Francesco Secci 90 32 0 13 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 118 73 0 07 Aug 2020
Stronger and Faster Wasserstein Adversarial Attacks Kaiwen Wu Allen Wang Yaoliang Yu AAML 77 32 0 06 Aug 2020
Adv-watermark: A Novel Watermark Perturbation for Adversarial Examples Xiaojun Jia Xingxing Wei Xiaochun Cao Xiaoguang Han AAML 75 88 0 05 Aug 2020
TREND: Transferability based Robust ENsemble Design Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OOD AAML 35 4 0 04 Aug 2020
Eigen-CAM: Class Activation Map using Principal Components Mohammed Bany Muhammad M. Yeasin 78 346 0 01 Aug 2020
Vulnerability Under Adversarial Machine Learning: Bias or Variance? Hossein Aboutalebi M. Shafiee Michelle Karg C. Scharfenberger A. Wong AAML 49 3 0 01 Aug 2020
On the Generalizability of Neural Program Models with respect to Semantic-Preserving Program Transformations Md Rafiqul Islam Rabin Nghi D. Q. Bui Ke Wang Yijun Yu Lingxiao Jiang Mohammad Amin Alipour 154 90 0 31 Jul 2020
Towards Class-Oriented Poisoning Attacks Against Neural Networks Bingyin Zhao Yingjie Lao SILM AAML 22 18 0 31 Jul 2020
TEAM: We Need More Powerful Adversarial Examples for DNNs Yaguan Qian Xi-Ming Zhang Bin Wang Wei Li Zhaoquan Gu Haijiang Wang Wassim Swaileh AAML 58 0 0 31 Jul 2020
A Data Augmentation-based Defense Method Against Adversarial Attacks in Neural Networks Yi Zeng Han Qiu G. Memmi Meikang Qiu AAML 66 50 0 30 Jul 2020
A General Framework For Detecting Anomalous Inputs to DNN Classifiers Jayaram Raghuram Varun Chandrasekaran S. Jha Suman Banerjee AAML 106 35 0 29 Jul 2020
End-to-End Adversarial White Box Attacks on Music Instrument Classification Katharina Prinz A. Flexer AAML 26 0 0 29 Jul 2020
Stylized Adversarial Defense Muzammal Naseer Salman Khan Munawar Hayat Fahad Shahbaz Khan Fatih Porikli GAN AAML 80 16 0 29 Jul 2020
Cassandra: Detecting Trojaned Networks from Adversarial Perturbations Xiaoyu Zhang Ajmal Mian Rohit Gupta Nazanin Rahnavard M. Shah AAML 91 26 0 28 Jul 2020
From Sound Representation to Model Robustness Mohamad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich AAML 77 6 0 27 Jul 2020
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers Yuzhen Ding Nupur Thakur Baoxin Li AAML 73 3 0 20 Jul 2020
DiffRNN: Differential Verification of Recurrent Neural Networks Sara Mohammadinejad Brandon Paulsen Chao Wang Jyotirmoy V. Deshmukh 111 12 0 20 Jul 2020
Robust Tracking against Adversarial Attacks Shuai Jia Chao Ma Yibing Song Xiaokang Yang AAML 75 51 0 20 Jul 2020
Evaluating a Simple Retraining Strategy as a Defense Against Adversarial Attacks Nupur Thakur Yuzhen Ding Baoxin Li AAML 33 3 0 20 Jul 2020
Exploiting vulnerabilities of deep neural networks for privacy protection Ricardo Sánchez-Matilla C. Li Ali Shahin Shamsabadi Riccardo Mazzon Andrea Cavallaro AAML PICV 56 24 0 19 Jul 2020
Technologies for Trustworthy Machine Learning: A Survey in a Socio-Technical Context Ehsan Toreini Mhairi Aitken Kovila P. L. Coopamootoo Karen Elliott Vladimiro González-Zelaya P. Missier Magdalene Ng Aad van Moorsel 74 18 0 17 Jul 2020
On Adversarial Robustness: A Neural Architecture Search perspective Chaitanya Devaguptapu Devansh Agarwal Gaurav Mittal Pulkit Gopalani V. Balasubramanian OOD AAML 68 34 0 16 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models Marzieh Edraki Nazmul Karim Nazanin Rahnavard Ajmal Mian M. Shah AAML 97 14 0 16 Jul 2020
Accelerating Robustness Verification of Deep Neural Networks Guided by Target Labels Wenjie Wan Zhaodi Zhang Yiwei Zhu Min Zhang Fu Song AAML 70 8 0 16 Jul 2020
Explicit Regularisation in Gaussian Noise Injections A. Camuto M. Willetts Umut Simsekli Stephen J. Roberts Chris Holmes 100 59 0 14 Jul 2020
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders A. Camuto M. Willetts Stephen J. Roberts Chris Holmes Tom Rainforth AAML DRL 65 31 0 14 Jul 2020
Pasadena: Perceptually Aware and Stealthy Adversarial Denoise Attack Yupeng Cheng Qing Guo Felix Juefei Xu Wei Feng Shang-Wei Lin Weisi Lin Yang Liu AAML 99 46 0 14 Jul 2020
Nested Learning For Multi-Granular Tasks Raphaël Achddou J. Matias Di Martino Guillermo Sapiro 26 1 0 13 Jul 2020
Understanding Adversarial Examples from the Mutual Influence of Images and Perturbations Chaoning Zhang Philipp Benz Tooba Imtiaz In-So Kweon SSL AAML 83 119 0 13 Jul 2020
Probabilistic Jacobian-based Saliency Maps Attacks Théo Combey António Loison Maxime Faucher H. Hajri AAML 110 19 0 12 Jul 2020
Representation Learning via Adversarially-Contrastive Optimal Transport A. Cherian Shuchin Aeron OT 43 7 0 11 Jul 2020
Boundary thickness and robustness in learning models Yaoqing Yang Rekha Khanna Yaodong Yu A. Gholami Kurt Keutzer Joseph E. Gonzalez Kannan Ramchandran Michael W. Mahoney OOD 72 42 0 09 Jul 2020
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning Hongyi Wang Kartik K. Sreenivasan Shashank Rajput Harit Vishwakarma Saurabh Agarwal Jy-yong Sohn Kangwook Lee Dimitris Papailiopoulos FedML 112 616 0 09 Jul 2020