Adversarial camera stickers: A physical camera-based attack on deep learning systems

21 March 2019

J. Zico Kolter

Papers citing "Adversarial camera stickers: A physical camera-based attack on deep learning systems"

40 / 40 papers shown

Title
Crafting Physical Adversarial Examples by Combining Differentiable and Physically Based Renders Yuqiu Liu Huanqian Yan Xiaopei Zhu Xiaolin Hu L. Tang Hang Su Chen Lv 34 0 0 07 May 2025
Safety Interventions against Adversarial Patches in an Open-Source Driver Assistance System Cheng Chen Grant Xiao Daehyun Lee Lishan Yang E. Smirni H. Alemzadeh Xugui Zhou AAML 31 1 0 26 Apr 2025
Cross-Input Certified Training for Universal Perturbations Changming Xu Gagandeep Singh AAML 33 2 0 15 May 2024
Sparse and Transferable Universal Singular Vectors Attack Kseniia Kuvshinova Olga Tsymboi Ivan Oseledets AAML 40 0 0 25 Jan 2024
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer Yuxin Cao Ziyu Zhao Xi Xiao Derui Wang Minhui Xue Jin Lu AAML 29 4 0 15 Dec 2023
A Survey of Adversarial CAPTCHAs on its History, Classification and Generation Zisheng Xu Qiao Yan Fei Yu Victor C.M. Leung AAML 29 1 0 22 Nov 2023
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems Xugui Zhou Anqi Chen Maxfield Kouzel Haotian Ren Morgan McCarty Cristina Nita-Rotaru H. Alemzadeh AAML 31 2 0 18 Jul 2023
Can Adversarial Examples Be Parsed to Reveal Victim Model Information? Yuguang Yao Jiancheng Liu Yifan Gong Xiaoming Liu Yanzhi Wang Xinyu Lin Sijia Liu AAML MLAU 42 1 0 13 Mar 2023
Adversarial Attack with Raindrops Jiyuan Liu Bingyi Lu Mingkang Xiong Tao Zhang Huilin Xiong 13 18 0 28 Feb 2023
Certified Robust Control under Adversarial Perturbations Jinghan Yang Hunmin Kim Wenbin Wan N. Hovakimyan Yevgeniy Vorobeychik AAML 19 1 0 04 Feb 2023
Targeted Adversarial Attacks against Neural Network Trajectory Predictors Kai Liang Tan Jun Wang Y. Kantaros AAML 38 14 0 08 Dec 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Ling Tian AAML 38 3 0 19 Sep 2022
Adversarial Detection: Attacking Object Detection in Real Time Han-Ching Wu Syed Yunas Sareh Rowlands Wenjie Ruan Johan Wahlstrom AAML 33 4 0 05 Sep 2022
Adversarial Patch Attacks and Defences in Vision-Based Tasks: A Survey Abhijith Sharma Yijun Bian Phil Munz Apurva Narayan VLM AAML 29 20 0 16 Jun 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs Chen-Hao Hu Weiwen Shi Wen Li AAML 45 8 0 02 Apr 2022
How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective Yimeng Zhang Yuguang Yao Jinghan Jia Jinfeng Yi Min-Fong Hong Shiyu Chang Sijia Liu AAML 31 33 0 27 Mar 2022
Efficient and Robust Classification for Sparse Attacks M. Beliaev Payam Delgosha Hamed Hassani Ramtin Pedarsani AAML 27 2 0 23 Jan 2022
A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Networks Hannes Vietz Tristan Rauch Andreas Löcklin N. Jazdi M. Weyrich 25 4 0 05 Oct 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
Light Lies: Optical Adversarial Attack Kyulim Kim Jeong-Soo Kim Seung-Ri Song Jun-Ho Choi Chul-Min Joo Jong-Seok Lee AAML 27 5 0 18 Jun 2021
Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks Yulong Cao* Ningfei Wang* Chaowei Xiao Dawei Yang Jin Fang Ruigang Yang Qi Alfred Chen Mingyan D. Liu Bo Li AAML 31 219 0 17 Jun 2021
3DB: A Framework for Debugging Computer Vision Models Guillaume Leclerc Hadi Salman Andrew Ilyas Sai H. Vemprala Logan Engstrom ... Pengchuan Zhang Shibani Santurkar Greg Yang Ashish Kapoor Aleksander Madry 40 40 0 07 Jun 2021
Stochastic-Shield: A Probabilistic Approach Towards Training-Free Adversarial Defense in Quantized CNNs Lorena Qendro Sangwon Ha R. D. Jong Partha P. Maji AAML FedML MQ 23 7 0 13 May 2021
Consistency Regularization for Adversarial Robustness Jihoon Tack Sihyun Yu Jongheon Jeong Minseon Kim Sung Ju Hwang Jinwoo Shin AAML 41 57 0 08 Mar 2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving James Tu Huichen Li Xinchen Yan Mengye Ren Yun Chen Ming Liang E. Bitar Ersin Yumer R. Urtasun AAML 32 76 0 17 Jan 2021
Robusta: Robust AutoML for Feature Selection via Reinforcement Learning Xiaoyang Sean Wang Bo Li Yibo Jacky Zhang B. Kailkhura Klara Nahrstedt 18 3 0 15 Jan 2021
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers Bingyao Huang Haibin Ling AAML 25 19 0 10 Dec 2020
Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect Athena Sayles Ashish Hooda M. Gupta Rahul Chatterjee Earlence Fernandes AAML 22 76 0 26 Nov 2020
Generating Adversarial yet Inconspicuous Patches with a Single Image Jinqi Luo Tao Bai Jun Zhao AAML 27 6 0 21 Sep 2020
Stronger and Faster Wasserstein Adversarial Attacks Kaiwen Wu Allen Wang Yaoliang Yu AAML 22 32 0 06 Aug 2020
Axiom-based Grad-CAM: Towards Accurate Visualization and Explanation of CNNs Ruigang Fu Qingyong Hu Xiaohu Dong Yulan Guo Yinghui Gao Biao Li FAtt 24 266 0 05 Aug 2020
Robust Machine Learning via Privacy/Rate-Distortion Theory Ye Wang Shuchin Aeron Adnan Siraj Rakin T. Koike-Akino P. Moulin OOD 22 6 0 22 Jul 2020
Do Adversarially Robust ImageNet Models Transfer Better? Hadi Salman Andrew Ilyas Logan Engstrom Ashish Kapoor Aleksander Madry 37 419 0 16 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip Torr NoLa AAML 25 57 0 08 Jul 2020
Adversarial Light Projection Attacks on Face Recognition Systems: A Feasibility Study Luan Nguyen Sunpreet S. Arora Yuhang Wu Hao Yang AAML 25 88 0 24 Mar 2020
Over-the-Air Adversarial Flickering Attacks against Video Recognition Networks Roi Pony I. Naeh Shie Mannor AAML 21 51 0 12 Feb 2020
Safety Concerns and Mitigation Approaches Regarding the Use of Deep Learning in Safety-Critical Perception Tasks Oliver Willers Sebastian Sudholt Shervin Raafatnia Stephanie Abrecht 28 80 0 22 Jan 2020
Adversarial T-shirt! Evading Person Detectors in A Physical World Kaidi Xu Gaoyuan Zhang Sijia Liu Quanfu Fan Mengshu Sun Hongge Chen Pin-Yu Chen Yanzhi Wang Xue Lin AAML 16 30 0 18 Oct 2019
Defending Against Universal Perturbations With Shared Adversarial Training Chaithanya Kumar Mummadi Thomas Brox J. H. Metzen AAML 18 60 0 10 Dec 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 353 5,849 0 08 Jul 2016