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LaVAN: Localized and Visible Adversarial Noise

8 January 2018

Papers citing "LaVAN: Localized and Visible Adversarial Noise"

35 / 135 papers shown

Title
A Study on the Uncertainty of Convolutional Layers in Deep Neural NetworksInternational Journal of Machine Learning and Cybernetics (IJMLC), 2020 Hao Shen Sihong Chen Ran Wang 104 6 0 27 Nov 2020
Vax-a-Net: Training-time Defence Against Adversarial Patch AttacksAsian Conference on Computer Vision (ACCV), 2020 Thomas Gittings Steve A. Schneider John Collomosse AAML 97 17 0 17 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's PerspectiveACM Computing Surveys (ACM CSUR), 2020 G. R. Machado Eugênio Silva R. Goldschmidt AAML 216 179 0 08 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient MatchingInternational Conference on Learning Representations (ICLR), 2020 Jonas Geiping Liam H. Fowl Wenjie Huang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 246 244 0 04 Sep 2020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial PerturbationsUSENIX Security Symposium (USENIX Security), 2020 Giulio Lovisotto H.C.M. Turner Ivo Sluganovic Martin Strohmeier Ivan Martinovic AAML 174 110 0 08 Jul 2020
Regional Image Perturbation Reduces $L_p$ Norms of Adversarial Examples While Maintaining Model-to-model Transferability Utku Ozbulak Jonathan Peck W. D. Neve Bart Goossens Yvan Saeys Arnout Van Messem AAML 108 2 0 07 Jul 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacksAAAI Conference on Artificial Intelligence (AAAI), 2020 Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 218 122 0 23 Jun 2020
Bias-based Universal Adversarial Patch Attack for Automatic Check-out Aishan Liu Jinyang Guo Xianglong Liu Bowen Cao Chongzhi Zhang Hang Yu AAML 113 6 0 19 May 2020
PatchGuard: A Provably Robust Defense against Adversarial Patches via Small Receptive Fields and Masking Chong Xiang A. Bhagoji Vikash Sehwag Prateek Mittal AAML 199 29 0 17 May 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 222 109 0 05 May 2020
Minority Reports Defense: Defending Against Adversarial Patches Michael McCoyd Won Park Steven Chen Neil Shah Ryan Roggenkemper Minjune Hwang J. Liu David Wagner AAML 120 68 0 28 Apr 2020
Certified Defenses for Adversarial PatchesInternational Conference on Learning Representations (ICLR), 2020 Ping Yeh-Chiang Renkun Ni Ahmed Abdelkader Chen Zhu Christoph Studer Tom Goldstein AAML 108 183 0 14 Mar 2020
Detecting Patch Adversarial Attacks with Image Residuals Marius Arvinte Ahmed H. Tewfik S. Vishwanath AAML 46 6 0 28 Feb 2020
(De)Randomized Smoothing for Certifiable Defense against Patch AttacksNeural Information Processing Systems (NeurIPS), 2020 Alexander Levine Soheil Feizi AAML 178 171 0 25 Feb 2020
Real-Time Detectors for Digital and Physical Adversarial Inputs to Perception SystemsInternational Conference on Cyber-Physical Systems (ICCPS), 2020 Y. Kantaros Taylor J. Carpenter Kaustubh Sridhar Yahan Yang Insup Lee James Weimer AAML 153 17 0 23 Feb 2020
Attacking Optical Character Recognition (OCR) Systems with Adversarial Watermarks Lu Chen Wenyuan Xu AAML 83 23 0 08 Feb 2020
Scratch that! An Evolution-based Adversarial Attack against Neural Networks Malhar Jere Loris Rossi Briland Hitaj Gabriela F. Cretu-Ciocarlie Giacomo Boracchi F. Koushanfar AAML 152 18 0 05 Dec 2019
Square Attack: a query-efficient black-box adversarial attack via random searchEuropean Conference on Computer Vision (ECCV), 2019 Maksym Andriushchenko Francesco Croce Nicolas Flammarion Matthias Hein AAML 519 1,120 0 29 Nov 2019
Adversarial Attacks on Time-Series Intrusion Detection for Industrial Control SystemsInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2019 Giulio Zizzo C. Hankin S. Maffeis Kevin Jones AAML 114 21 0 08 Nov 2019
Imperceptible Adversarial Attacks on Tabular Data Vincent Ballet X. Renard Jonathan Aigrain Thibault Laugel P. Frossard Marcin Detyniecki 224 82 0 08 Nov 2019
Confidence-Calibrated Adversarial Training: Generalizing to Unseen Attacks David Stutz Matthias Hein Bernt Schiele AAML 245 5 0 14 Oct 2019
Role of Spatial Context in Adversarial Robustness for Object Detection Aniruddha Saha Akshayvarun Subramanya Koninika Patil Hamed Pirsiavash ObjD AAML 290 58 0 30 Sep 2019
Localized Adversarial Training for Increased Accuracy and Robustness in Image Classification Eitan Rothberg Tingting Chen Luo Jie Hao Ji AAML 43 0 0 10 Sep 2019
Efficient Project Gradient Descent for Ensemble Adversarial Attack Fanyou Wu R. Gazo E. Haviarova Bedrich Benes AAML 50 6 0 07 Jun 2019
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template UpdatingEuropean Symposium on Security and Privacy (EuroS&P), 2019 Giulio Lovisotto Simon Eberz Ivan Martinovic AAML 194 41 0 22 May 2019
Interpreting Adversarial Examples by Activation Promotion and Suppression Kaidi Xu Sijia Liu Gaoyuan Zhang Mengshu Sun Pu Zhao Quanfu Fan Chuang Gan Xinyu Lin AAML FAtt 187 44 0 03 Apr 2019
Attribution-driven Causal Analysis for Detection of Adversarial Examples Susmit Jha Sunny Raj S. Fernandes Sumit Kumar Jha S. Jha Gunjan Verma B. Jalaeian A. Swami AAML 97 17 0 14 Mar 2019
Adversarial Framing for Image and Video Classification Konrad Zolna Michal Zajac Negar Rostamzadeh Pedro H. O. Pinheiro AAML 232 60 0 11 Dec 2018
Fooling Network Interpretation in Image Classification Akshayvarun Subramanya Vipin Pillai Hamed Pirsiavash AAML FAtt 113 7 0 06 Dec 2018
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 382 320 0 02 Dec 2018
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects Michael A. Alcorn Melvin Johnson Zhitao Gong Chengfei Wang Long Mai Naveen Ari Stella Laurenzo 320 312 0 28 Nov 2018
Exploring the Vulnerability of Single Shot Module in Object Detectors via Imperceptible Background Patches Yuezun Li Xiao Bian Ming-Ching Chang Siwei Lyu AAML ObjD 149 32 0 16 Sep 2018
Humans can decipher adversarial images Zhenglong Zhou C. Firestone AAML 168 123 0 11 Sep 2018
Structured Adversarial Attack: Towards General Implementation and Better Interpretability Kaidi Xu Sijia Liu Pu Zhao Pin-Yu Chen Huan Zhang Quanfu Fan Deniz Erdogmus Yanzhi Wang Xinyu Lin AAML 206 167 0 05 Aug 2018
Local Gradients Smoothing: Defense against localized adversarial attacksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2018 Muzammal Naseer Salman H. Khan Fatih Porikli AAML 215 189 0 03 Jul 2018