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NO Need to Worry about Adversarial Examples in Object Detection in
  Autonomous Vehicles

NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles

12 July 2017
Jiajun Lu
Hussein Sibai
Evan Fabry
David A. Forsyth
    AAML
ArXivPDFHTML

Papers citing "NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles"

50 / 56 papers shown
Title
Natural Language Induced Adversarial Images
Natural Language Induced Adversarial Images
Xiaopei Zhu
Peiyang Xu
Guanning Zeng
Yingpeng Dong
Xiaolin Hu
AAML
33
0
0
11 Oct 2024
ExploreADV: Towards exploratory attack for Neural Networks
ExploreADV: Towards exploratory attack for Neural Networks
Tianzuo Luo
Yuyi Zhong
S. Khoo
AAML
24
1
0
01 Jan 2023
Defending with Errors: Approximate Computing for Robustness of Deep
  Neural Networks
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks
Amira Guesmi
Ihsen Alouani
Khaled N. Khasawneh
M. Baklouti
T. Frikha
Mohamed Abid
Nael B. Abu-Ghazaleh
AAML
OOD
30
2
0
02 Nov 2022
Strong Transferable Adversarial Attacks via Ensembled Asymptotically
  Normal Distribution Learning
Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
Zhengwei Fang
Rui Wang
Tao Huang
L. Jing
AAML
40
5
0
24 Sep 2022
A Human-in-the-Middle Attack against Object Detection Systems
A Human-in-the-Middle Attack against Object Detection Systems
Han-Ching Wu
Sareh Rowlands
Johan Wahlstrom
AAML
31
0
0
15 Aug 2022
Synthetic Dataset Generation for Adversarial Machine Learning Research
Synthetic Dataset Generation for Adversarial Machine Learning Research
Xiruo Liu
Shibani Singh
Cory Cornelius
Colin Busho
Mike Tan
Anindya Paul
Jason Martin
AAML
36
2
0
21 Jul 2022
Empirical Evaluation of Physical Adversarial Patch Attacks Against
  Overhead Object Detection Models
Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models
Gavin Hartnett
Li Ang Zhang
Caolionn L O'Connell
A. Lohn
Jair Aguirre
AAML
33
3
0
25 Jun 2022
On the Feasibility and Generality of Patch-based Adversarial Attacks on
  Semantic Segmentation Problems
On the Feasibility and Generality of Patch-based Adversarial Attacks on Semantic Segmentation Problems
Soma Kontár
A. Horváth
AAML
40
1
0
21 May 2022
SoK: On the Semantic AI Security in Autonomous Driving
SoK: On the Semantic AI Security in Autonomous Driving
Junjie Shen
Ningfei Wang
Ziwen Wan
Yunpeng Luo
Takami Sato
...
Zhenyu Zhong
Kang Li
Ziming Zhao
Chunming Qiao
Qi Alfred Chen
AAML
23
40
0
10 Mar 2022
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial
  Examples Against Traffic Sign Recognition Systems
Fooling the Eyes of Autonomous Vehicles: Robust Physical Adversarial Examples Against Traffic Sign Recognition Systems
Wei Jia
Zhaojun Lu
Haichun Zhang
Zhenglin Liu
Jie Wang
Gang Qu
AAML
16
51
0
17 Jan 2022
Improving Robustness with Image Filtering
Improving Robustness with Image Filtering
M. Terzi
Mattia Carletti
Gian Antonio Susto
AAML
31
0
0
21 Dec 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep
  Neural Network Systems
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
DriveGuard: Robustification of Automated Driving Systems with Deep
  Spatio-Temporal Convolutional Autoencoder
DriveGuard: Robustification of Automated Driving Systems with Deep Spatio-Temporal Convolutional Autoencoder
A. Papachristodoulou
C. Kyrkou
T. Theocharides
33
2
0
05 Nov 2021
Simple Post-Training Robustness Using Test Time Augmentations and Random
  Forest
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
Gilad Cohen
Raja Giryes
AAML
42
4
0
16 Sep 2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector
Physical Adversarial Attacks on an Aerial Imagery Object Detector
Andrew Du
Bo Chen
Tat-Jun Chin
Yee Wei Law
Michele Sasdelli
Ramesh Rajasegaran
Dillon Campbell
AAML
33
60
0
26 Aug 2021
Attack-agnostic Adversarial Detection on Medical Data Using Explainable
  Machine Learning
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning
Matthew Watson
Noura Al Moubayed
AAML
MedIm
12
20
0
05 May 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure
  DNN Accelerators
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
David Stutz
Nandhini Chandramoorthy
Matthias Hein
Bernt Schiele
AAML
MQ
24
18
0
16 Apr 2021
Robust Machine Learning Systems: Challenges, Current Trends,
  Perspectives, and the Road Ahead
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Mohamed Bennai
Mahum Naseer
T. Theocharides
C. Kyrkou
O. Mutlu
Lois Orosa
Jungwook Choi
OOD
81
100
0
04 Jan 2021
Dynamic Adversarial Patch for Evading Object Detection Models
Dynamic Adversarial Patch for Evading Object Detection Models
Shahar Hoory
T. Shapira
A. Shabtai
Yuval Elovici
AAML
18
41
0
25 Oct 2020
Uncovering the Limits of Adversarial Training against Norm-Bounded
  Adversarial Examples
Uncovering the Limits of Adversarial Training against Norm-Bounded Adversarial Examples
Sven Gowal
Chongli Qin
J. Uesato
Timothy A. Mann
Pushmeet Kohli
AAML
22
325
0
07 Oct 2020
The Intriguing Relation Between Counterfactual Explanations and
  Adversarial Examples
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples
Timo Freiesleben
GAN
46
62
0
11 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards
  the Defender's Perspective
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
A Survey on Security Attacks and Defense Techniques for Connected and
  Autonomous Vehicles
A Survey on Security Attacks and Defense Techniques for Connected and Autonomous Vehicles
M. Pham
Kaiqi Xiong
25
138
0
16 Jul 2020
Defensive Approximation: Securing CNNs using Approximate Computing
Defensive Approximation: Securing CNNs using Approximate Computing
Amira Guesmi
Ihsen Alouani
Khaled N. Khasawneh
M. Baklouti
T. Frikha
Mohamed Abid
Nael B. Abu-Ghazaleh
AAML
19
37
0
13 Jun 2020
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical
  Systems
ConAML: Constrained Adversarial Machine Learning for Cyber-Physical Systems
Jiangnan Li
Yingyuan Yang
Jinyuan Stella Sun
K. Tomsovic
Jin Young Lee
AAML
31
53
0
12 Mar 2020
Deep Neural Network Perception Models and Robust Autonomous Driving
  Systems
Deep Neural Network Perception Models and Robust Autonomous Driving Systems
M. Shafiee
Ahmadreza Jeddi
Amir Nazemi
Paul Fieguth
A. Wong
OOD
34
15
0
04 Mar 2020
Overfitting in adversarially robust deep learning
Overfitting in adversarially robust deep learning
Leslie Rice
Eric Wong
Zico Kolter
47
788
0
26 Feb 2020
Adversarial Ranking Attack and Defense
Adversarial Ranking Attack and Defense
Mo Zhou
Zhenxing Niu
Le Wang
Qilin Zhang
G. Hua
36
38
0
26 Feb 2020
Fast is better than free: Revisiting adversarial training
Fast is better than free: Revisiting adversarial training
Eric Wong
Leslie Rice
J. Zico Kolter
AAML
OOD
99
1,160
0
12 Jan 2020
Sparse Black-box Video Attack with Reinforcement Learning
Sparse Black-box Video Attack with Reinforcement Learning
Xingxing Wei
Huanqian Yan
Bo-wen Li
AAML
31
49
0
11 Jan 2020
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
21
104
0
13 Nov 2019
Attacking Vision-based Perception in End-to-End Autonomous Driving
  Models
Attacking Vision-based Perception in End-to-End Autonomous Driving Models
Adith Boloor
Karthik Garimella
Xin He
C. Gill
Yevgeniy Vorobeychik
Xuan Zhang
AAML
19
106
0
02 Oct 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for
  Autonomous Driving
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving
Zelun Kong
Junfeng Guo
Ang Li
Cong Liu
AAML
41
126
0
09 Jul 2019
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian
  Fault Injection
ML-based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection
Saurabh Jha
Subho Sankar Banerjee
Timothy Tsai
S. Hari
Michael B. Sullivan
Zbigniew T. Kalbarczyk
S. Keckler
Ravishankar Iyer
35
120
0
01 Jul 2019
Provably Robust Boosted Decision Stumps and Trees against Adversarial
  Attacks
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks
Maksym Andriushchenko
Matthias Hein
28
61
0
08 Jun 2019
Testing DNN Image Classifiers for Confusion & Bias Errors
Testing DNN Image Classifiers for Confusion & Bias Errors
Yuchi Tian
Ziyuan Zhong
Vicente Ordonez
Gail E. Kaiser
Baishakhi Ray
24
52
0
20 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the
  Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer
  Domain
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
37
18
0
19 May 2019
LiveSketch: Query Perturbations for Guided Sketch-based Visual Search
LiveSketch: Query Perturbations for Guided Sketch-based Visual Search
John Collomosse
Tu Bui
Hailin Jin
22
56
0
14 Apr 2019
Defending against Whitebox Adversarial Attacks via Randomized
  Discretization
Defending against Whitebox Adversarial Attacks via Randomized Discretization
Yuchen Zhang
Percy Liang
AAML
32
75
0
25 Mar 2019
Adversarial camera stickers: A physical camera-based attack on deep
  learning systems
Adversarial camera stickers: A physical camera-based attack on deep learning systems
Juncheng Billy Li
Frank R. Schmidt
J. Zico Kolter
AAML
11
164
0
21 Mar 2019
Simple Physical Adversarial Examples against End-to-End Autonomous
  Driving Models
Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
Adith Boloor
Xin He
C. Gill
Yevgeniy Vorobeychik
Xuan Zhang
AAML
21
74
0
12 Mar 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Eric Wong
Frank R. Schmidt
J. Zico Kolter
AAML
36
210
0
21 Feb 2019
Object Recognition under Multifarious Conditions: A Reliability Analysis
  and A Feature Similarity-based Performance Estimation
Object Recognition under Multifarious Conditions: A Reliability Analysis and A Feature Similarity-based Performance Estimation
Dogancan Temel
Jinsol Lee
G. Al-Regib
29
12
0
18 Feb 2019
F1/10: An Open-Source Autonomous Cyber-Physical Platform
F1/10: An Open-Source Autonomous Cyber-Physical Platform
Matthew O'Kelly
Varundev Sukhil
Houssam Abbas
J. Harkins
Chris Kao
...
Rahul Mangharam
Dipshil Agarwal
Madhur Behl
P. Burgio
Marko Bertogna
16
104
0
24 Jan 2019
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses
  of Familiar Objects
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
47
299
0
28 Nov 2018
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
CURE-OR: Challenging Unreal and Real Environments for Object Recognition
Dogancan Temel
Jinsol Lee
G. Al-Regib
24
42
0
18 Oct 2018
Traffic Signs in the Wild: Highlights from the IEEE Video and Image
  Processing Cup 2017 Student Competition [SP Competitions]
Traffic Signs in the Wild: Highlights from the IEEE Video and Image Processing Cup 2017 Student Competition [SP Competitions]
Dogancan Temel
G. Al-Regib
26
28
0
15 Oct 2018
Humans can decipher adversarial images
Humans can decipher adversarial images
Zhenglong Zhou
C. Firestone
AAML
18
121
0
11 Sep 2018
Unsupervised Hard Example Mining from Videos for Improved Object
  Detection
Unsupervised Hard Example Mining from Videos for Improved Object Detection
SouYoung Jin
Aruni RoyChowdhury
Huaizu Jiang
Ashish Singh
Aditya Prasad
Deep Chakraborty
Erik Learned-Miller
ObjD
29
63
0
13 Aug 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
165
424
0
16 Apr 2018
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