v1v2v3 (latest)

Universal adversarial perturbations

26 October 2016

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Universal adversarial perturbations"

50 / 1,270 papers shown

Title
The Vulnerability of the Neural Networks Against Adversarial Examples in Deep Learning Algorithms Rui Zhao AAML 60 1 0 02 Nov 2020
WaveTransform: Crafting Adversarial Examples via Input Decomposition Divyam Anshumaan Akshay Agarwal Mayank Vatsa Richa Singh AAML 52 11 0 29 Oct 2020
Beyond cross-entropy: learning highly separable feature distributions for robust and accurate classification Arslan Ali A. Migliorati T. Bianchi E. Magli AAML OOD OODD 26 1 0 29 Oct 2020
Transferable Universal Adversarial Perturbations Using Generative Models Atiyeh Hashemi Andreas Bär S. Mozaffari Tim Fingscheidt AAML 78 17 0 28 Oct 2020
Fast Local Attack: Generating Local Adversarial Examples for Object Detectors Quanyu Liao Xin Wang Bin Kong Siwei Lyu Youbing Yin Qi Song Xi Wu ObjD AAML 80 4 0 27 Oct 2020
GreedyFool: Distortion-Aware Sparse Adversarial Attack Xiaoyi Dong Dongdong Chen Jianmin Bao Chuan Qin Lu Yuan Weiming Zhang Nenghai Yu Dong Chen AAML 72 63 0 26 Oct 2020
Robustness May Be at Odds with Fairness: An Empirical Study on Class-wise Accuracy Philipp Benz Chaoning Zhang Adil Karjauv In So Kweon AAML 87 59 0 26 Oct 2020
Dynamic Adversarial Patch for Evading Object Detection Models Shahar Hoory T. Shapira A. Shabtai Yuval Elovici AAML 80 41 0 25 Oct 2020
Stop Bugging Me! Evading Modern-Day Wiretapping Using Adversarial Perturbations Yael Mathov Tal Senior A. Shabtai Yuval Elovici 55 5 0 24 Oct 2020
Contrastive Learning with Adversarial Examples Chih-Hui Ho Nuno Vasconcelos SSL 92 142 0 22 Oct 2020
Boosting Gradient for White-Box Adversarial Attacks Hongying Liu Zhenyu Zhou Fanhua Shang Xiaoyu Qi Yuanyuan Liu L. Jiao AAML 49 8 0 21 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020
Taking Over the Stock Market: Adversarial Perturbations Against Algorithmic Traders Elior Nehemya Yael Mathov A. Shabtai Yuval Elovici AIFin AAML 18 4 0 19 Oct 2020
Modeling Token-level Uncertainty to Learn Unknown Concepts in SLU via Calibrated Dirichlet Prior RNN Yilin Shen Wenhu Chen Hongxia Jin UQCV BDL 39 5 0 16 Oct 2020
Generalizing Universal Adversarial Attacks Beyond Additive Perturbations Yanghao Zhang Wenjie Ruan Fu Lee Wang Xiaowei Huang AAML 87 24 0 15 Oct 2020
Progressive Defense Against Adversarial Attacks for Deep Learning as a Service in Internet of Things Ling Wang Cheng Zhang Zejian Luo Chenguang Liu Jie Liu Xi Zheng A. Vasilakos AAML 27 3 0 15 Oct 2020
Reverse Engineering Imperceptible Backdoor Attacks on Deep Neural Networks for Detection and Training Set Cleansing Zhen Xiang David J. Miller G. Kesidis 81 23 0 15 Oct 2020
An Evasion Attack against Stacked Capsule Autoencoder Jiazhu Dai Siwei Xiong AAML 34 1 0 14 Oct 2020
GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack Hui Liu Bo Zhao Minzhi Ji Peng Liu AAML 42 6 0 14 Oct 2020
IF-Defense: 3D Adversarial Point Cloud Defense via Implicit Function based Restoration Ziyi Wu Yueqi Duan He Wang Qingnan Fan Leonidas Guibas 3DPC 85 61 0 11 Oct 2020
Scaling Guarantees for Nearest Counterfactual Explanations Kiarash Mohammadi Amir-Hossein Karimi Gilles Barthe Isabel Valera LRM 36 31 0 10 Oct 2020
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects Amir-Hossein Karimi Gilles Barthe Bernhard Schölkopf Isabel Valera FaML 70 172 0 08 Oct 2020
CD-UAP: Class Discriminative Universal Adversarial Perturbation Chaoning Zhang Philipp Benz Tooba Imtiaz In So Kweon AAML 63 61 0 07 Oct 2020
Double Targeted Universal Adversarial Perturbations Philipp Benz Chaoning Zhang Tooba Imtiaz In So Kweon AAML 95 48 0 07 Oct 2020
A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Inference Sanghyun Hong Yigitcan Kaya Ionut-Vlad Modoranu Tudor Dumitras AAML 83 73 0 06 Oct 2020
A Study for Universal Adversarial Attacks on Texture Recognition Yingpeng Deng Lina Karam AAML 42 2 0 04 Oct 2020
Explaining Deep Neural Networks Oana-Maria Camburu XAI FAtt 108 26 0 04 Oct 2020
STRATA: Simple, Gradient-Free Attacks for Models of Code Jacob Mitchell Springer Bryn Reinstadler Una-May O’Reilly AAML 35 9 0 28 Sep 2020
Where Does the Robustness Come from? A Study of the Transformation-based Ensemble Defence Chang Liao Yao Cheng Chengfang Fang Jie Shi 31 1 0 28 Sep 2020
Improving Query Efficiency of Black-box Adversarial Attack Yang Bai Yuyuan Zeng Yong Jiang Yisen Wang Shutao Xia Weiwei Guo AAML MLAU 122 53 0 24 Sep 2020
Detection of Iterative Adversarial Attacks via Counter Attack Matthias Rottmann Kira Maag Mathis Peyron N. Krejić Hanno Gottschalk AAML 47 4 0 23 Sep 2020
Adversarial Attack Based Countermeasures against Deep Learning Side-Channel Attacks Ruizhe Gu Ping Wang Mengce Zheng Honggang Hu Nenghai Yu AAML 27 3 0 22 Sep 2020
Stereopagnosia: Fooling Stereo Networks with Adversarial Perturbations A. Wong Mukund Mundhra Stefano Soatto AAML 73 27 0 21 Sep 2020
Large Norms of CNN Layers Do Not Hurt Adversarial Robustness Youwei Liang Dong Huang 48 11 0 17 Sep 2020
Online Alternate Generator against Adversarial Attacks Haofeng Li Yirui Zeng Guanbin Li Liang Lin Yizhou Yu AAML 69 6 0 17 Sep 2020
Decision-based Universal Adversarial Attack Jing Wu Mingyi Zhou Shuaicheng Liu Yipeng Liu Ce Zhu AAML 78 13 0 15 Sep 2020
A Game Theoretic Analysis of Additive Adversarial Attacks and Defenses Ambar Pal René Vidal AAML 106 27 0 14 Sep 2020
Risk Bounds for Robust Deep Learning Johannes Lederer OOD 56 16 0 14 Sep 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 102 64 0 11 Sep 2020
A black-box adversarial attack for poisoning clustering Antonio Emanuele Cinà Alessandro Torcinovich Marcello Pelillo AAML 121 41 0 09 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 136 162 0 08 Sep 2020
Simulating Unknown Target Models for Query-Efficient Black-box Attacks Chen Ma Lixing Chen Junhai Yong MLAU OOD 93 17 0 02 Sep 2020
Adversarially Robust Neural Architectures Minjing Dong Yanxi Li Yunhe Wang Chang Xu AAML OOD 93 49 0 02 Sep 2020
Adversarially Robust Learning via Entropic Regularization Gauri Jagatap Ameya Joshi A. B. Chowdhury S. Garg Chinmay Hegde OOD 125 11 0 27 Aug 2020
Privacy Intelligence: A Survey on Image Privacy in Online Social Networks Chi Liu Tianqing Zhu Jun Zhang Wanlei Zhou PICV 81 31 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
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
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
Feature Binding with Category-Dependant MixUp for Semantic Segmentation and Adversarial Robustness Md. Amirul Islam M. Kowal Konstantinos G. Derpanis Neil D. B. Bruce 38 7 0 13 Aug 2020