Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,267 papers shown

Title
Adaptive Gradient for Adversarial Perturbations Generation Yatie Xiao Chi-Man Pun ODL 19 10 0 01 Feb 2019
On the Effect of Low-Rank Weights on Adversarial Robustness of Neural Networks P. Langenberg E. Balda Arash Behboodi R. Mathar 11 16 0 29 Jan 2019
Who's Afraid of Adversarial Queries? The Impact of Image Modifications on Content-based Image Retrieval Zhuoran Liu Zhengyu Zhao Martha Larson AAML 12 42 0 29 Jan 2019
A Black-box Attack on Neural Networks Based on Swarm Evolutionary Algorithm Xiaolei Liu Yuheng Luo Xiaosong Zhang Qingxin Zhu AAML 24 16 0 26 Jan 2019
Cross-Entropy Loss and Low-Rank Features Have Responsibility for Adversarial Examples Kamil Nar Orhan Ocal S. Shankar Sastry Kannan Ramchandran AAML 27 54 0 24 Jan 2019
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems Tianyu Du S. Ji Jinfeng Li Qinchen Gu Ting Wang R. Beyah AAML 13 127 0 23 Jan 2019
Universal Rules for Fooling Deep Neural Networks based Text Classification Di Li Danilo Vasconcellos Vargas Kouichi Sakurai AAML 21 11 0 22 Jan 2019
Generating Adversarial Perturbation with Root Mean Square Gradient Yatie Xiao Chi-Man Pun Jizhe Zhou GAN 18 1 0 13 Jan 2019
ECGadv: Generating Adversarial Electrocardiogram to Misguide Arrhythmia Classification System Huangxun Chen Chenyu Huang Qianyi Huang Qian Zhang Wei Wang AAML 31 26 0 12 Jan 2019
Making AI meaningful again Jobst Landgrebe Barry F. Smith 19 35 0 09 Jan 2019
Image Super-Resolution as a Defense Against Adversarial Attacks Aamir Mustafa Salman H. Khan Munawar Hayat Jianbing Shen Ling Shao AAML SupR 27 168 0 07 Jan 2019
A Noise-Sensitivity-Analysis-Based Test Prioritization Technique for Deep Neural Networks Long Zhang Xuechao Sun Yong Li Zhenyu Zhang AAML 12 22 0 01 Jan 2019
A Data-driven Adversarial Examples Recognition Framework via Adversarial Feature Genome Li Chen Qi Li Jiawei Zhu Jian Peng Haifeng Li AAML 19 3 0 25 Dec 2018
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning Mehdi Jafarnia-Jahromi Tasmin Chowdhury Hsin-Tai Wu S. Mukherjee AAML 27 4 0 25 Dec 2018
Deep Transfer Learning for Static Malware Classification Li-Wei Chen 13 46 0 18 Dec 2018
A Survey of Safety and Trustworthiness of Deep Neural Networks: Verification, Testing, Adversarial Attack and Defence, and Interpretability Xiaowei Huang Daniel Kroening Wenjie Ruan Marta Kwiatkowska Youcheng Sun Emese Thamo Min Wu Xinping Yi AAML 24 50 0 18 Dec 2018
Trust Region Based Adversarial Attack on Neural Networks Z. Yao A. Gholami Peng Xu Kurt Keutzer Michael W. Mahoney AAML 19 54 0 16 Dec 2018
Perturbation Analysis of Learning Algorithms: A Unifying Perspective on Generation of Adversarial Examples E. Balda Arash Behboodi R. Mathar AAML 28 4 0 15 Dec 2018
Adversarial Framing for Image and Video Classification Konrad Zolna Michal Zajac Negar Rostamzadeh Pedro H. O. Pinheiro AAML 30 60 0 11 Dec 2018
Data Fine-tuning S. Chhabra P. Majumdar Mayank Vatsa Richa Singh AAML 20 13 0 10 Dec 2018
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 18 60 0 10 Dec 2018
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations Jacob Dumford Walter J. Scheirer AAML 22 117 0 07 Dec 2018
Knockoff Nets: Stealing Functionality of Black-Box Models Tribhuvanesh Orekondy Bernt Schiele Mario Fritz MLAU 27 526 0 06 Dec 2018
On Configurable Defense against Adversarial Example Attacks Bo Luo Min Li Yu Li Q. Xu AAML 16 1 0 06 Dec 2018
SADA: Semantic Adversarial Diagnostic Attacks for Autonomous Applications Abdullah Hamdi Matthias Muller Guohao Li AAML 32 26 0 05 Dec 2018
Adversarial Example Decomposition Horace He Aaron Lou Qingxuan Jiang Isay Katsman Serge J. Belongie Ser-Nam Lim AAML 19 0 0 04 Dec 2018
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 30 169 0 03 Dec 2018
Universal Perturbation Attack Against Image Retrieval Jie Li Rongrong Ji Hong Liu Xiaopeng Hong Yue Gao Q. Tian AAML 29 98 0 03 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 182 289 0 02 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 25 76 0 30 Nov 2018
Attacks on State-of-the-Art Face Recognition using Attentional Adversarial Attack Generative Network Q. Song Yingqi Wu Lu Yang AAML CVBM GAN 24 96 0 29 Nov 2018
A randomized gradient-free attack on ReLU networks Francesco Croce Matthias Hein AAML 37 21 0 28 Nov 2018
Universal Adversarial Training A. Mendrik Mahyar Najibi Zheng Xu John P. Dickerson L. Davis Tom Goldstein AAML OOD 24 189 0 27 Nov 2018
ResNets Ensemble via the Feynman-Kac Formalism to Improve Natural and Robust Accuracies Bao Wang Binjie Yuan Zuoqiang Shi Stanley J. Osher AAML OOD 16 15 0 26 Nov 2018
Detecting Adversarial Perturbations Through Spatial Behavior in Activation Spaces Ziv Katzir Yuval Elovici AAML 16 26 0 22 Nov 2018
Recognizing Disguised Faces in the Wild Maneet Singh Richa Singh Mayank Vatsa Nalini Ratha Rama Chellappa CVBM 33 55 0 21 Nov 2018
MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense Rushil Anirudh Jayaraman J. Thiagarajan B. Kailkhura T. Bremer GAN 8 2 0 20 Nov 2018
Convolutional Neural Networks with Transformed Input based on Robust Tensor Network Decomposition Jenn-Bing Ong W. Ng C.-C. Jay Kuo AAML 27 0 0 20 Nov 2018
Optimal Transport Classifier: Defending Against Adversarial Attacks by Regularized Deep Embedding Yao Li Martin Renqiang Min Wenchao Yu Cho-Jui Hsieh T. C. Lee E. Kruus OT 27 7 0 19 Nov 2018
Distribution Discrepancy Maximization for Image Privacy Preserving Sen Liu Jianxin Lin Zhibo Chen 27 1 0 18 Nov 2018
Classifiers Based on Deep Sparse Coding Architectures are Robust to Deep Learning Transferable Examples Jacob Mitchell Springer Charles M. S. Strauss A. Thresher Edward J. Kim Garrett Kenyon AAML 14 5 0 17 Nov 2018
Mathematical Analysis of Adversarial Attacks Zehao Dou Stanley J. Osher Bao Wang AAML 24 18 0 15 Nov 2018
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform Md Tahmid Hossain S. Teng Dengsheng Zhang Suryani Lim Guojun Lu 23 30 0 14 Nov 2018
Deep Neural Network Concepts for Background Subtraction: A Systematic Review and Comparative Evaluation T. Bouwmans S. Javed M. Sultana Soon Ki Jung 30 318 0 13 Nov 2018
Universal Decision-Based Black-Box Perturbations: Breaking Security-Through-Obscurity Defenses T. A. Hogan B. Kailkhura AAML 27 10 0 09 Nov 2018
A Geometric Perspective on the Transferability of Adversarial Directions Duncan C. McElfresh H. Bidkhori Dimitris Papailiopoulos AAML 19 17 0 08 Nov 2018
AdVersarial: Perceptual Ad Blocking meets Adversarial Machine Learning K. Makarychev Pascal Dupré Yury Makarychev Giancarlo Pellegrino Dan Boneh AAML 29 64 0 08 Nov 2018
SparseFool: a few pixels make a big difference Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 17 197 0 06 Nov 2018
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy Jingkang Wang R. Jia Gerald Friedland Yangqiu Song C. Spanos AAML 25 4 0 23 Oct 2018
Security Matters: A Survey on Adversarial Machine Learning Guofu Li Pengjia Zhu Jin Li Zhemin Yang Ning Cao Zhiyi Chen AAML 26 24 0 16 Oct 2018