LaVAN: Localized and Visible Adversarial Noise

8 January 2018

Papers citing "LaVAN: Localized and Visible Adversarial Noise"

50 / 124 papers shown

Title
Simultaneously Optimizing Perturbations and Positions for Black-box Adversarial Patch Attacks Xingxing Wei Yingjie Guo Jie Yu Bo Zhang AAML 26 51 0 26 Dec 2022
REAP: A Large-Scale Realistic Adversarial Patch Benchmark Nabeel Hingun Chawin Sitawarin Jerry Li David Wagner AAML 31 14 0 12 Dec 2022
Suppress with a Patch: Revisiting Universal Adversarial Patch Attacks against Object Detection Svetlana Pavlitskaya Jonas Hendl Sebastian Kleim Leopold Müller Fabian Wylczoch J. Marius Zöllner AAML 25 4 0 27 Sep 2022
On the interplay of adversarial robustness and architecture components: patches, convolution and attention Francesco Croce Matthias Hein 43 6 0 14 Sep 2022
Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura K. Sakmann N. G. Hua Matthias Hein J. H. Metzen AAML 52 17 0 13 Sep 2022
Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense Bo Peng Bo Peng Jie Zhou Jianyue Xie Li Liu AAML 47 43 0 11 Sep 2022
Exploring Adversarial Robustness of Vision Transformers in the Spectral Perspective Gihyun Kim Juyeop Kim Jong-Seok Lee AAML ViT 24 4 0 20 Aug 2022
Feasibility of Inconspicuous GAN-generated Adversarial Patches against Object Detection Svetlana Pavlitskaya Bianca-Marina Codau J. Marius Zöllner AAML 18 11 0 15 Jul 2022
PatchZero: Defending against Adversarial Patch Attacks by Detecting and Zeroing the Patch Ke Xu Yao Xiao Zhao-Heng Zheng Kaijie Cai Ramkant Nevatia AAML 31 28 0 05 Jul 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 27 20 0 16 Jun 2022
Towards Practical Certifiable Patch Defense with Vision Transformer Zhaoyu Chen Bo-wen Li Jianghe Xu Shuang Wu Shouhong Ding Wenqiang Zhang AAML ViT 40 66 0 16 Mar 2022
ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness against Adversarial Patches Maura Pintor Daniele Angioni Angelo Sotgiu Christian Scano Ambra Demontis Battista Biggio Fabio Roli AAML 33 49 0 07 Mar 2022
ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking Chong Xiang Alexander Valtchanov Saeed Mahloujifar Prateek Mittal AAML 16 21 0 03 Feb 2022
ROOM: Adversarial Machine Learning Attacks Under Real-Time Constraints Amira Guesmi Khaled N. Khasawneh Nael B. Abu-Ghazaleh Ihsen Alouani AAML 25 14 0 05 Jan 2022
Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection Jiangjiang Liu Alexander Levine Chun Pong Lau Ramalingam Chellappa S. Feizi AAML 32 77 0 08 Dec 2021
Evaluating Adversarial Attacks on ImageNet: A Reality Check on Misclassification Classes Utku Ozbulak Maura Pintor Arnout Van Messem W. D. Neve AAML 9 5 0 22 Nov 2021
Are Vision Transformers Robust to Patch Perturbations? Jindong Gu Volker Tresp Yao Qin AAML ViT 40 61 0 20 Nov 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems Bao Gia Doan Minhui Xue Shiqing Ma Ehsan Abbasnejad Damith C. Ranasinghe AAML 41 53 0 19 Nov 2021
Generative Dynamic Patch Attack Xiang Li Shihao Ji AAML 32 22 0 08 Nov 2021
Identification of Attack-Specific Signatures in Adversarial Examples Hossein Souri Pirazh Khorramshahi Chun Pong Lau Micah Goldblum Rama Chellappa AAML MLAU 43 4 0 13 Oct 2021
Certified Patch Robustness via Smoothed Vision Transformers Hadi Salman Saachi Jain Eric Wong Aleksander Mkadry AAML 70 58 0 11 Oct 2021
Adversarial Attacks in a Multi-view Setting: An Empirical Study of the Adversarial Patches Inter-view Transferability Bilel Tarchoun Ihsen Alouani Anouar Ben Khalifa Mohamed Ali Mahjoub AAML 17 6 0 10 Oct 2021
Reversible Attack based on Local Visual Adversarial Perturbation Li Chen Shaowei Zhu Z. Yin AAML 19 4 0 06 Oct 2021
PatchCleanser: Certifiably Robust Defense against Adversarial Patches for Any Image Classifier Chong Xiang Saeed Mahloujifar Prateek Mittal VLM AAML 24 73 0 20 Aug 2021
Inconspicuous Adversarial Patches for Fooling Image Recognition Systems on Mobile Devices Tao Bai Jinqi Luo Jun Zhao AAML 31 30 0 29 Jun 2021
Who is Responsible for Adversarial Defense? Kishor Datta Gupta D. Dasgupta AAML 27 2 0 27 Jun 2021
Selection of Source Images Heavily Influences the Effectiveness of Adversarial Attacks Utku Ozbulak Esla Timothy Anzaku W. D. Neve Arnout Van Messem AAML 30 10 0 14 Jun 2021
Verifying Quantized Neural Networks using SMT-Based Model Checking Luiz Sena Xidan Song E. Alves I. Bessa Edoardo Manino Lucas C. Cordeiro Eddie Batista de Lima Filho 41 11 0 10 Jun 2021
A Simple and Strong Baseline for Universal Targeted Attacks on Siamese Visual Tracking Zhenbang Li Yaya Shi Jin Gao Shaoru Wang Bing Li Pengpeng Liang Weiming Hu AAML 39 26 0 06 May 2021
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety Sebastian Houben Stephanie Abrecht Maram Akila Andreas Bär Felix Brockherde ... Serin Varghese Michael Weber Sebastian J. Wirkert Tim Wirtz Matthias Woehrle AAML 13 58 0 29 Apr 2021
PatchGuard++: Efficient Provable Attack Detection against Adversarial Patches Chong Xiang Prateek Mittal AAML 35 42 0 26 Apr 2021
Adversarial Sticker: A Stealthy Attack Method in the Physical World Xingxing Wei Yingjie Guo Jie Yu AAML 30 115 0 14 Apr 2021
ExAD: An Ensemble Approach for Explanation-based Adversarial Detection R. Vardhan Ninghao Liu Phakpoom Chinprutthiwong Weijie Fu Zhen Hu Xia Hu G. Gu AAML 36 4 0 22 Mar 2021
A Real-time Defense against Website Fingerprinting Attacks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 14 19 0 08 Feb 2021
DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks Chong Xiang Prateek Mittal AAML 29 52 0 05 Feb 2021
Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers Xinwei Zhao Matthew C. Stamm AAML 20 3 0 26 Jan 2021
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems Lu Chen Jiao Sun Wenyuan Xu AAML 11 16 0 15 Dec 2020
Visually Imperceptible Adversarial Patch Attacks on Digital Images Yaguan Qian Jiamin Wang Bin Wang Xiang Ling Zhaoquan Gu Chunming Wu Wassim Swaileh AAML 44 2 0 02 Dec 2020
Incorporating Hidden Layer representation into Adversarial Attacks and Defences Haojing Shen Sihong Chen Ran Wang Xizhao Wang AAML 10 0 0 28 Nov 2020
A Study on the Uncertainty of Convolutional Layers in Deep Neural Networks Hao Shen Sihong Chen Ran Wang 30 5 0 27 Nov 2020
Vax-a-Net: Training-time Defence Against Adversarial Patch Attacks Thomas Gittings Steve A. Schneider John Collomosse AAML 19 13 0 17 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective G. R. Machado Eugênio Silva R. Goldschmidt AAML 33 157 0 08 Sep 2020
Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching Jonas Geiping Liam H. Fowl Yifan Jiang W. Czaja Gavin Taylor Michael Moeller Tom Goldstein AAML 21 215 0 04 Sep 2020
SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations Giulio Lovisotto H.C.M. Turner Ivo Sluganovic Martin Strohmeier Ivan Martinovic AAML 19 101 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 17 2 0 07 Jul 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks Francesco Croce Maksym Andriushchenko Naman D. Singh Nicolas Flammarion Matthias Hein 26 99 0 23 Jun 2020
Bias-based Universal Adversarial Patch Attack for Automatic Check-out Aishan Liu Jiakai Wang Xianglong Liu Bowen Cao Chongzhi Zhang Hang Yu AAML 16 5 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 30 29 0 17 May 2020
Adversarial Training against Location-Optimized Adversarial Patches Sukrut Rao David Stutz Bernt Schiele AAML 19 92 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 11 54 0 28 Apr 2020