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Delving into Transferable Adversarial Examples and Black-box Attacks

8 November 2016

Papers citing "Delving into Transferable Adversarial Examples and Black-box Attacks"

50 / 928 papers shown

Title
Multi-Label Adversarial Perturbations Qingquan Song Haifeng Jin Xiao Huang Helen Zhou AAML 63 37 0 02 Jan 2019
Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models Tae-Hoon Kim Dongmin Kang K. Pulli Jonghyun Choi 79 14 0 01 Jan 2019
DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems Husheng Zhou Wei Li Yuankun Zhu Yuqun Zhang Bei Yu Lingming Zhang Cong Liu AAML 85 179 0 27 Dec 2018
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 139 286 0 26 Dec 2018
A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples Qiang Zeng Jianhai Su Chenglong Fu Golam Kayas Lannan Luo AAML 55 46 0 26 Dec 2018
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning Mehdi Jafarnia-Jahromi Tasmin Chowdhury Hsin-Tai Wu S. Mukherjee AAML 47 4 0 25 Dec 2018
DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense Hang Zhou Kejiang Chen Weiming Zhang Han Fang Wenbo Zhou Nenghai Yu 3DPC 69 8 0 25 Dec 2018
Analysis Methods in Neural Language Processing: A Survey Yonatan Belinkov James R. Glass 123 558 0 21 Dec 2018
Learning Transferable Adversarial Examples via Ghost Networks Yingwei Li S. Bai Yuyin Zhou Cihang Xie Zhishuai Zhang Alan Yuille AAML 132 137 0 09 Dec 2018
Backdooring Convolutional Neural Networks via Targeted Weight Perturbations Jacob Dumford Walter J. Scheirer AAML 73 122 0 07 Dec 2018
Knockoff Nets: Stealing Functionality of Black-Box Models Tribhuvanesh Orekondy Bernt Schiele Mario Fritz MLAU 111 539 0 06 Dec 2018
Prior Networks for Detection of Adversarial Attacks A. Malinin Mark Gales AAML 69 5 0 06 Dec 2018
Regularized Ensembles and Transferability in Adversarial Learning Yifan Chen Yevgeniy Vorobeychik AAML 47 2 0 05 Dec 2018
Random Spiking and Systematic Evaluation of Defenses Against Adversarial Examples Huangyi Ge Sze Yiu Chau Bruno Ribeiro Ninghui Li AAML 41 1 0 05 Dec 2018
Interpretable Deep Learning under Fire Xinyang Zhang Ningfei Wang Hua Shen S. Ji Xiapu Luo Ting Wang AAML AI4CE 138 173 0 03 Dec 2018
Disentangling Adversarial Robustness and Generalization David Stutz Matthias Hein Bernt Schiele AAML OOD 311 285 0 03 Dec 2018
Universal Perturbation Attack Against Image Retrieval Jie Li Rongrong Ji Hong Liu Xiaopeng Hong Yue Gao Q. Tian AAML 98 100 0 03 Dec 2018
Adversarial Defense by Stratified Convolutional Sparse Coding Bo Sun Nian-hsuan Tsai Fangchen Liu Ronald Yu Hao Su AAML 77 76 0 30 Nov 2018
Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers Nathan Inkawhich Matthew J. Inkawhich Yiran Chen H. Li AAML 43 38 0 28 Nov 2018
A randomized gradient-free attack on ReLU networks Francesco Croce Matthias Hein AAML 74 21 0 28 Nov 2018
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks Jinghui Chen Dongruo Zhou Jinfeng Yi Quanquan Gu AAML 90 68 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 78 15 0 26 Nov 2018
Bilateral Adversarial Training: Towards Fast Training of More Robust Models Against Adversarial Attacks Jianyu Wang Haichao Zhang OOD AAML 87 119 0 26 Nov 2018
Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack Adnan Siraj Rakin Zhezhi He Deliang Fan AAML 67 292 0 22 Nov 2018
Mathematical Analysis of Adversarial Attacks Zehao Dou Stanley J. Osher Bao Wang AAML 67 18 0 15 Nov 2018
New CleverHans Feature: Better Adversarial Robustness Evaluations with Attack Bundling Ian Goodfellow AAML 20 2 0 08 Nov 2018
A Geometric Perspective on the Transferability of Adversarial Directions Duncan C. McElfresh H. Bidkhori Dimitris Papailiopoulos AAML 50 17 0 08 Nov 2018
SparseFool: a few pixels make a big difference Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 72 199 0 06 Nov 2018
Learning to Defend by Learning to Attack Haoming Jiang Zhehui Chen Yuyang Shi Bo Dai T. Zhao 93 22 0 03 Nov 2018
Efficient Neural Network Robustness Certification with General Activation Functions Huan Zhang Tsui-Wei Weng Pin-Yu Chen Cho-Jui Hsieh Luca Daniel AAML 124 765 0 02 Nov 2018
Towards Adversarial Malware Detection: Lessons Learned from PDF-based Attacks Davide Maiorca Battista Biggio Giorgio Giacinto AAML 76 47 0 02 Nov 2018
Stochastic Substitute Training: A Gray-box Approach to Craft Adversarial Examples Against Gradient Obfuscation Defenses Mohammad J. Hashemi Greg Cusack Eric Keller AAML SILM 51 8 0 23 Oct 2018
One Bit Matters: Understanding Adversarial Examples as the Abuse of Redundancy Jingkang Wang R. Jia Gerald Friedland Yangqiu Song C. Spanos AAML 40 4 0 23 Oct 2018
Provable Robustness of ReLU networks via Maximization of Linear Regions Francesco Croce Maksym Andriushchenko Matthias Hein 92 166 0 17 Oct 2018
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation Chaowei Xiao Ruizhi Deng Yue Liu Feng Yu M. Liu Basel Alomair AAML 59 99 0 11 Oct 2018
The Adversarial Attack and Detection under the Fisher Information Metric Chenxiao Zhao P. T. Fletcher Mixue Yu Chaomin Shen Guixu Zhang Yaxin Peng AAML 76 47 0 09 Oct 2018
Adversarial Examples - A Complete Characterisation of the Phenomenon A. Serban E. Poll Joost Visser SILM AAML 102 49 0 02 Oct 2018
Improving the Generalization of Adversarial Training with Domain Adaptation Chuanbiao Song Kun He Liwei Wang John E. Hopcroft AAML OOD 112 132 0 01 Oct 2018
Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network Xuanqing Liu Yao Li Chongruo Wu Cho-Jui Hsieh AAML OOD 93 171 0 01 Oct 2018
CAAD 2018: Generating Transferable Adversarial Examples Yash Sharma Tien-Dung Le M. Alzantot AAML SILM 85 7 0 29 Sep 2018
Characterizing Audio Adversarial Examples Using Temporal Dependency Zhuolin Yang Yue Liu Pin-Yu Chen Basel Alomair AAML 69 165 0 28 Sep 2018
Low Frequency Adversarial Perturbation Chuan Guo Jared S. Frank Kilian Q. Weinberger AAML 68 168 0 24 Sep 2018
Adversarial Defense via Data Dependent Activation Function and Total Variation Minimization Bao Wang A. Lin Weizhi Zhu Penghang Yin Andrea L. Bertozzi Stanley J. Osher AAML 41 20 0 23 Sep 2018
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples Deqiang Li Ramesh Baral Tao Li Han Wang Qianmu Li Shouhuai Xu AAML 63 21 0 18 Sep 2018
Adversarial Examples: Opportunities and Challenges Jiliang Zhang Chen Li AAML 57 234 0 13 Sep 2018
On the Structural Sensitivity of Deep Convolutional Networks to the Directions of Fourier Basis Functions Yusuke Tsuzuku Issei Sato AAML 82 62 0 11 Sep 2018
Towards Query Efficient Black-box Attacks: An Input-free Perspective Yali Du Meng Fang Jinfeng Yi Jun Cheng Dacheng Tao AAML 71 21 0 09 Sep 2018
Why Do Adversarial Attacks Transfer? Explaining Transferability of Evasion and Poisoning Attacks Ambra Demontis Marco Melis Maura Pintor Matthew Jagielski Battista Biggio Alina Oprea Cristina Nita-Rotaru Fabio Roli SILM AAML 62 11 0 08 Sep 2018
Query Attack via Opposite-Direction Feature:Towards Robust Image Retrieval Zhedong Zheng Liang Zheng Yi Yang Zhilan Hu AAML 75 24 0 07 Sep 2018
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models Tong Niu Joey Tianyi Zhou AAML 93 85 0 06 Sep 2018