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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
Adversarial Robustness Against the Union of Multiple Perturbation Models Pratyush Maini Eric Wong J. Zico Kolter OOD AAML 65 151 0 09 Sep 2019
When Explainability Meets Adversarial Learning: Detecting Adversarial Examples using SHAP Signatures Gil Fidel Ron Bitton A. Shabtai FAtt GAN 63 120 0 08 Sep 2019
On the Need for Topology-Aware Generative Models for Manifold-Based Defenses Uyeong Jang Susmit Jha S. Jha AAML 70 13 0 07 Sep 2019
Testing Deep Learning Models for Image Analysis Using Object-Relevant Metamorphic Relations Yongqiang Tian Shiqing Ma Ming Wen Yepang Liu Shing-Chi Cheung Xinming Zhang VLM 54 5 0 06 Sep 2019
Universal, transferable and targeted adversarial attacks Junde Wu Rao Fu AAML SILM 85 10 0 29 Aug 2019
Defeating Misclassification Attacks Against Transfer Learning Bang Wu Shuo Wang Lizhen Qu Cong Wang Carsten Rudolph Xiangwen Yang AAML 75 6 0 29 Aug 2019
Detection of Backdoors in Trained Classifiers Without Access to the Training Set Zhen Xiang David J. Miller G. Kesidis AAML 103 24 0 27 Aug 2019
Bayesian Nonparametrics for Non-exhaustive Learning Yicheng Cheng Bartek Rajwa M. M. Dundar 10 0 0 26 Aug 2019
A Statistical Defense Approach for Detecting Adversarial Examples Alessandro Cennamo Ido Freeman A. Kummert AAML 34 4 0 26 Aug 2019
advPattern: Physical-World Attacks on Deep Person Re-Identification via Adversarially Transformable Patterns Peng Kuang Siyan Zheng Mengkai Song Qian Wang Alireza Rahimpour Hairong Qi AAML OOD 73 59 0 25 Aug 2019
Targeted Mismatch Adversarial Attack: Query with a Flower to Retrieve the Tower Giorgos Tolias Filip Radenovic Ondřej Chum AAML 77 71 0 24 Aug 2019
Improving Adversarial Robustness via Attention and Adversarial Logit Pairing Dou Goodman Xingjian Li Ji Liu Jun Huan Tao Wei AAML 43 7 0 23 Aug 2019
Testing Robustness Against Unforeseen Adversaries Maximilian Kaufmann Daniel Kang Yi Sun Steven Basart Xuwang Yin ... Adam Dziedzic Franziska Boenisch Tom B. Brown Jacob Steinhardt Dan Hendrycks AAML 32 0 0 21 Aug 2019
Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks Ka-Ho Chow Wenqi Wei Yanzhao Wu Ling Liu AAML 56 15 0 21 Aug 2019
On the Robustness of Human Pose Estimation Sahil Shah Naman Jain Abhishek Sharma Arjun Jain AAML OOD 69 20 0 18 Aug 2019
A Symbolic Neural Network Representation and its Application to Understanding, Verifying, and Patching Networks Matthew Sotoudeh Aditya V. Thakur 26 4 0 17 Aug 2019
Computing Linear Restrictions of Neural Networks Matthew Sotoudeh Aditya V. Thakur 41 24 0 17 Aug 2019
Adversarial shape perturbations on 3D point clouds Daniel Liu Ronald Yu Hao Su 3DPC 80 12 0 16 Aug 2019
DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Seungju Cho Tae Joon Jun Byungsoo Oh Daeyoung Kim 102 31 0 14 Aug 2019
Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once Jiangfan Han Xiaoyi Dong Ruimao Zhang Dongdong Chen Weiming Zhang Nenghai Yu Ping Luo Xiaogang Wang AAML 73 29 0 14 Aug 2019
AdvFaces: Adversarial Face Synthesis Debayan Deb Jianbang Zhang Anil K. Jain GAN CVBM AAML PICV 99 129 0 14 Aug 2019
Defending Against Adversarial Iris Examples Using Wavelet Decomposition Sobhan Soleymani Ali Dabouei J. Dawson Nasser M. Nasrabadi AAML 53 9 0 08 Aug 2019
Universal Adversarial Audio Perturbations Sajjad Abdoli L. G. Hafemann Jérôme Rony Ismail Ben Ayed P. Cardinal Alessandro Lameiras Koerich AAML 93 52 0 08 Aug 2019
Investigating Decision Boundaries of Trained Neural Networks Roozbeh Yousefzadeh D. O’Leary AAML 48 22 0 07 Aug 2019
Robust Learning with Jacobian Regularization Judy Hoffman Daniel A. Roberts Sho Yaida OOD AAML 67 169 0 07 Aug 2019
Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations Andras Rozsa Terrance E. Boult AAML 61 18 0 07 Aug 2019
MetaAdvDet: Towards Robust Detection of Evolving Adversarial Attacks Chen Ma Chenxu Zhao Hailin Shi Li Chen Junhai Yong Dan Zeng AAML 55 17 0 06 Aug 2019
Random Directional Attack for Fooling Deep Neural Networks Wenjian Luo Chenwang Wu Nan Zhou Li Ni AAML 21 4 0 06 Aug 2019
A principled approach for generating adversarial images under non-smooth dissimilarity metrics Aram-Alexandre Pooladian Chris Finlay Tim Hoheisel Adam M. Oberman AAML 54 3 0 05 Aug 2019
Adversarial Self-Defense for Cycle-Consistent GANs D. Bashkirova Ben Usman Kate Saenko GAN 57 43 0 05 Aug 2019
Sound source detection, localization and classification using consecutive ensemble of CRNN models Slawomir Kapka M. Lewandowski 122 66 0 02 Aug 2019
AdvGAN++ : Harnessing latent layers for adversary generation Puneet Mangla Surgan Jandial Sakshi Varshney V. Balasubramanian GAN 81 69 0 02 Aug 2019
Robustifying deep networks for image segmentation Zheng Liu Jinnian Zhang Varun Jog Po-Ling Loh A. McMillan AAML OOD 53 7 0 01 Aug 2019
Not All Adversarial Examples Require a Complex Defense: Identifying Over-optimized Adversarial Examples with IQR-based Logit Thresholding Utku Ozbulak Arnout Van Messem W. D. Neve AAML 34 1 0 30 Jul 2019
Understanding Adversarial Robustness: The Trade-off between Minimum and Average Margin Kaiwen Wu Yaoliang Yu AAML 45 8 0 26 Jul 2019
On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method Pu Zhao Sijia Liu Pin-Yu Chen Nghia Hoang Kaidi Xu B. Kailkhura Xue Lin AAML 119 54 0 26 Jul 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training Haichao Zhang Jianyu Wang AAML 112 231 0 24 Jul 2019
Joint Adversarial Training: Incorporating both Spatial and Pixel Attacks Haichao Zhang Jianyu Wang 72 4 0 24 Jul 2019
Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems Xingjun Ma Yuhao Niu Lin Gu Yisen Wang Yitian Zhao James Bailey Feng Lu MedIm AAML 93 458 0 24 Jul 2019
Towards Logical Specification of Statistical Machine Learning Yusuke Kawamoto CML 48 7 0 24 Jul 2019
Towards Adversarially Robust Object Detection Haichao Zhang Jianyu Wang AAML ObjD 139 131 0 24 Jul 2019
Enhancing Adversarial Example Transferability with an Intermediate Level Attack Qian Huang Isay Katsman Horace He Zeqi Gu Serge J. Belongie Ser-Nam Lim SILM AAML 106 248 0 23 Jul 2019
Adversarial Security Attacks and Perturbations on Machine Learning and Deep Learning Methods Arif Siddiqi AAML 64 11 0 17 Jul 2019
Recovery Guarantees for Compressible Signals with Adversarial Noise J. Dhaliwal Kyle Hambrook AAML 57 2 0 15 Jul 2019
Discriminative Active Learning Daniel Gissin Shai Shalev-Shwartz 94 179 0 15 Jul 2019
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN Guoping Zhao Mingyu Zhang Jiajun Liu Ji-Rong Wen AAML GAN 64 25 0 12 Jul 2019
Adversarial Objects Against LiDAR-Based Autonomous Driving Systems Yulong Cao Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Mingyan D. Liu Yue Liu 3DPC AAML 86 142 0 11 Jul 2019
Computational Concentration of Measure: Optimal Bounds, Reductions, and More O. Etesami Saeed Mahloujifar Mohammad Mahmoody 57 16 0 11 Jul 2019
A Systematic Mapping Study on Testing of Machine Learning Programs S. Sherin Muhammad Uzair Khan Muhammad Zohaib Z. Iqbal 42 13 0 11 Jul 2019
Metamorphic Detection of Adversarial Examples in Deep Learning Models With Affine Transformations R. Mekala Gudjon Magnusson Adam A. Porter Mikael Lindvall Madeline Diep AAML 30 16 0 10 Jul 2019