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SLAP: Improving Physical Adversarial Examples with Short-Lived
  Adversarial Perturbations

SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations

8 July 2020
Giulio Lovisotto
H.C.M. Turner
Ivo Sluganovic
Martin Strohmeier
Ivan Martinovic
    AAML
ArXivPDFHTML

Papers citing "SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations"

27 / 27 papers shown
Title
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Towards Benchmarking and Assessing the Safety and Robustness of Autonomous Driving on Safety-critical Scenarios
Jingzheng Li
Xianglong Liu
Shikui Wei
Zhijun Chen
Yangqiu Song
Qing Guo
Xianqi Yang
Yanjun Pu
Jiakai Wang
AAML
ELM
113
0
0
31 Mar 2025
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
98
3
0
20 Nov 2023
Runtime Stealthy Perception Attacks against DNN-based Adaptive Cruise Control Systems
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
47
2
0
18 Jul 2023
They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in
  CMOS Image Sensors
They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors
S. Köhler
Giulio Lovisotto
S. Birnbach
Richard Baker
Ivan Martinovic
AAML
43
35
0
25 Jan 2021
GhostImage: Remote Perception Attacks against Camera-based Image
  Classification Systems
GhostImage: Remote Perception Attacks against Camera-based Image Classification Systems
Yanmao Man
Ming Li
Ryan M. Gerdes
AAML
47
8
0
21 Jan 2020
XRAI: Better Attributions Through Regions
XRAI: Better Attributions Through Regions
A. Kapishnikov
Tolga Bolukbasi
Fernanda Viégas
Michael Terry
FAtt
XAI
57
212
0
06 Jun 2019
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template
  Updating
Biometric Backdoors: A Poisoning Attack Against Unsupervised Template Updating
Giulio Lovisotto
Simon Eberz
Ivan Martinovic
AAML
58
36
0
22 May 2019
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
208
292
0
02 Dec 2018
Physical Adversarial Examples for Object Detectors
Physical Adversarial Examples for Object Detectors
Kevin Eykholt
Ivan Evtimov
Earlence Fernandes
Yue Liu
Amir Rahmati
Florian Tramèr
Atul Prakash
Tadayoshi Kohno
D. Song
AAML
87
469
0
20 Jul 2018
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite
  Imagery
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
A. V. Etten
ObjD
68
304
0
24 May 2018
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
192
428
0
16 Apr 2018
YOLOv3: An Incremental Improvement
YOLOv3: An Incremental Improvement
Joseph Redmon
Ali Farhadi
ObjD
105
21,432
0
08 Apr 2018
LaVAN: Localized and Visible Adversarial Noise
LaVAN: Localized and Visible Adversarial Noise
D. Karmon
Daniel Zoran
Yoav Goldberg
AAML
68
244
0
08 Jan 2018
Adversarial Patch
Adversarial Patch
Tom B. Brown
Dandelion Mané
Aurko Roy
Martín Abadi
Justin Gilmer
AAML
70
1,095
0
27 Dec 2017
Mitigating Adversarial Effects Through Randomization
Mitigating Adversarial Effects Through Randomization
Cihang Xie
Jianyu Wang
Zhishuai Zhang
Zhou Ren
Alan Yuille
AAML
99
1,058
0
06 Nov 2017
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
Aditya Chattopadhyay
Anirban Sarkar
Prantik Howlader
V. Balasubramanian
FAtt
101
2,289
0
30 Oct 2017
BadNets: Identifying Vulnerabilities in the Machine Learning Model
  Supply Chain
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Tianyu Gu
Brendan Dolan-Gavitt
S. Garg
SILM
99
1,770
0
22 Aug 2017
Robust Physical-World Attacks on Deep Learning Models
Robust Physical-World Attacks on Deep Learning Models
Kevin Eykholt
Ivan Evtimov
Earlence Fernandes
Yue Liu
Amir Rahmati
Chaowei Xiao
Atul Prakash
Tadayoshi Kohno
D. Song
AAML
50
595
0
27 Jul 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
344
27,174
0
20 Mar 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
448
22,095
0
09 Dec 2016
Discriminative Correlation Filter with Channel and Spatial Reliability
Discriminative Correlation Filter with Channel and Spatial Reliability
A. Lukežič
Tomás Vojír
L. Č. Zajc
Jirí Matas
Matej Kristan
72
786
0
25 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
517
5,893
0
08 Jul 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
482
62,122
0
04 Jun 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
250
19,017
0
20 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
107
1,963
0
26 Nov 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
387
43,619
0
01 May 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
278
26,168
0
11 Nov 2013
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