Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1904.00759
Cited By
Adversarial camera stickers: A physical camera-based attack on deep learning systems
21 March 2019
Juncheng Billy Li
Frank R. Schmidt
J. Zico Kolter
AAML
Re-assign community
ArXiv
PDF
HTML
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
43
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
32
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
34
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
365
5,849
0
08 Jul 2016
1