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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
Evaluation of Generalizability of Neural Program Analyzers under Semantic-Preserving Transformations Md Rafiqul Islam Rabin Mohammad Amin Alipour NAI 82 20 0 15 Apr 2020
Targeted Attack for Deep Hashing based Retrieval Jiawang Bai Bin Chen Yiming Li Dongxian Wu Weiwei Guo Shutao Xia En-Hui Yang AAML 135 87 0 15 Apr 2020
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions Jon Vadillo Roberto Santana Jose A. Lozano AAML 51 0 0 14 Apr 2020
Towards Robust Classification with Image Quality Assessment Yeli Feng Yiyu Cai 100 0 0 14 Apr 2020
Towards Transferable Adversarial Attack against Deep Face Recognition Yaoyao Zhong Weihong Deng AAML 105 162 0 13 Apr 2020
Verification of Deep Convolutional Neural Networks Using ImageStars Hoang-Dung Tran Stanley Bak Weiming Xiang Taylor T. Johnson AAML 68 129 0 12 Apr 2020
Luring of transferable adversarial perturbations in the black-box paradigm Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML 40 2 0 10 Apr 2020
Blind Adversarial Pruning: Balance Accuracy, Efficiency and Robustness Haidong Xie Lixin Qian Xueshuang Xiang Naijin Liu AAML 30 1 0 10 Apr 2020
Blind Adversarial Training: Balance Accuracy and Robustness Haidong Xie Xueshuang Xiang Naijin Liu Bin Dong AAML 22 2 0 10 Apr 2020
Rethinking the Trigger of Backdoor Attack Yiming Li Tongqing Zhai Baoyuan Wu Yong Jiang Zhifeng Li Shutao Xia LLMSV 104 152 0 09 Apr 2020
On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems I. Tyukin D. Higham A. Gorban AAML 46 39 0 09 Apr 2020
Reciprocal Learning Networks for Human Trajectory Prediction Hao Sun Zhiqun Zhao Zhihai He 56 57 0 09 Apr 2020
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking Hongjun Wang Guangrun Wang Ya Li Dongyu Zhang Liang Lin AAML 62 85 0 08 Apr 2020
Feature Partitioning for Robust Tree Ensembles and their Certification in Adversarial Scenarios Stefano Calzavara Claudio Lucchese Federico Marcuzzi S. Orlando AAML 45 9 0 07 Apr 2020
Deep learning for smart fish farming: applications, opportunities and challenges Xinting Yang Song Zhang Jintao Liu Qinfeng Gao S. Dong Chao Zhou AI4CE 92 242 0 06 Apr 2020
On Tractable Representations of Binary Neural Networks Weijia Shi Andy Shih Adnan Darwiche Arthur Choi TPM OffRL 67 69 0 05 Apr 2020
Physically Realizable Adversarial Examples for LiDAR Object Detection James Tu Mengye Ren S. Manivasagam Ming Liang Binh Yang Richard Du Frank Cheng R. Urtasun 3DPC 96 241 0 01 Apr 2020
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes Sravanti Addepalli S. VivekB. Arya Baburaj Gaurang Sriramanan R. Venkatesh Babu AAML 31 32 0 01 Apr 2020
A Thorough Comparison Study on Adversarial Attacks and Defenses for Common Thorax Disease Classification in Chest X-rays Ch. Srinivasa Rao Jingyun Liang Runhao Zeng Qi Chen Huazhu Fu Yanwu Xu Mingkui Tan AAML 26 7 0 31 Mar 2020
Improved Gradient based Adversarial Attacks for Quantized Networks Kartik Gupta Thalaiyasingam Ajanthan MQ 58 19 0 30 Mar 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning Tianlong Chen Sijia Liu Shiyu Chang Yu Cheng Lisa Amini Zhangyang Wang AAML 71 250 0 28 Mar 2020
Adversarial Imitation Attack Mingyi Zhou Jing Wu Yipeng Liu Xiaolin Huang Shuaicheng Liu Xiang Zhang Ce Zhu AAML 39 0 0 28 Mar 2020
DaST: Data-free Substitute Training for Adversarial Attacks Mingyi Zhou Jing Wu Yipeng Liu Shuaicheng Liu Ce Zhu 84 145 0 28 Mar 2020
Interval Neural Networks as Instability Detectors for Image Reconstructions Jan Macdonald M. März Luis Oala Wojciech Samek 50 2 0 27 Mar 2020
Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks Zain Khan Jirong Yi R. Mudumbai Xiaodong Wu Weiyu Xu AAML MLAU 51 1 0 26 Mar 2020
Stochastic Zeroth-order Riemannian Derivative Estimation and Optimization Jiaxiang Li Krishnakumar Balasubramanian Shiqian Ma 18 5 0 25 Mar 2020
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study Luan Nguyen Sunpreet S. Arora Yuhang Wu Hao Yang AAML 58 88 0 24 Mar 2020
Defense Through Diverse Directions Christopher M. Bender Yang Li Yifeng Shi Michael K. Reiter Junier B. Oliva AAML 51 4 0 24 Mar 2020
Architectural Resilience to Foreground-and-Background Adversarial Noise Carl Cheng Evan Hu AAML 23 0 0 23 Mar 2020
Detecting Adversarial Examples in Learning-Enabled Cyber-Physical Systems using Variational Autoencoder for Regression Feiyang Cai Jiani Li X. Koutsoukos DRL 73 12 0 21 Mar 2020
Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises B. Yan Dong Wang Huchuan Lu Xiaoyun Yang AAML 51 73 0 21 Mar 2020
Breaking certified defenses: Semantic adversarial examples with spoofed robustness certificates Amin Ghiasi Ali Shafahi Tom Goldstein 102 55 0 19 Mar 2020
Vec2Face: Unveil Human Faces from their Blackbox Features in Face Recognition C. Duong Thanh-Dat Truong Kha Gia Quach Hung Bui Kaushik Roy Khoa Luu CVBM 74 54 0 16 Mar 2020
Minimum-Norm Adversarial Examples on KNN and KNN-Based Models Chawin Sitawarin David Wagner AAML 57 20 0 14 Mar 2020
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation Xiaogang Xu Hengshuang Zhao Jiaya Jia AAML 49 40 0 14 Mar 2020
GeoDA: a geometric framework for black-box adversarial attacks A. Rahmati Seyed-Mohsen Moosavi-Dezfooli P. Frossard H. Dai MLAU AAML 146 120 0 13 Mar 2020
Topological Effects on Attacks Against Vertex Classification B. A. Miller Mustafa Çamurcu Alexander J. Gomez Kevin S. Chan Tina Eliassi-Rad AAML 46 2 0 12 Mar 2020
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems Jiangnan Li Yingyuan Yang Jinyuan Stella Sun K. Tomsovic Jin Young Lee AAML 117 55 0 12 Mar 2020
Frequency-Tuned Universal Adversarial Attacks Yingpeng Deng Lina Karam AAML 51 7 0 11 Mar 2020
SuperMix: Supervising the Mixing Data Augmentation Ali Dabouei Sobhan Soleymani Fariborz Taherkhani Nasser M. Nasrabadi 123 101 0 10 Mar 2020
Using an ensemble color space model to tackle adversarial examples Shreyank N. Gowda C. Yuan AAML 30 1 0 10 Mar 2020
SAD: Saliency-based Defenses Against Adversarial Examples Richard Tran David Patrick Michaela Geyer Amanda Fernandez AAML 55 5 0 10 Mar 2020
Generating Natural Language Adversarial Examples on a Large Scale with Generative Models Yankun Ren J. Lin Siliang Tang Jun Zhou Shuang Yang Yuan Qi Xiang Ren GAN AAML SILM 63 23 0 10 Mar 2020
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation Raha Moraffah Mansooreh Karami Ruocheng Guo A. Raglin Huan Liu CML ELM XAI 98 221 0 09 Mar 2020
Search Space of Adversarial Perturbations against Image Filters D. D. Thang Toshihiro Matsui AAML 31 1 0 05 Mar 2020
Confusing and Detecting ML Adversarial Attacks with Injected Attractors Jiyi Zhang E. Chang H. Lee AAML 60 1 0 05 Mar 2020
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization Saehyung Lee Hyungyu Lee Sungroh Yoon AAML 252 119 0 05 Mar 2020
The Impact of Hole Geometry on Relative Robustness of In-Painting Networks: An Empirical Study Masood S. Mortazavi Ning Yan AAML OOD 26 0 0 04 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving Systems M. Shafiee Ahmadreza Jeddi Amir Nazemi Paul Fieguth A. Wong OOD 62 16 0 04 Mar 2020
Metrics and methods for robustness evaluation of neural networks with generative models Igor Buzhinsky Arseny Nerinovsky S. Tripakis AAML 84 25 0 04 Mar 2020