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Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models
12 March 2019
Adith Boloor
Xin He
C. Gill
Yevgeniy Vorobeychik
Xuan Zhang
AAML
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Papers citing
"Simple Physical Adversarial Examples against End-to-End Autonomous Driving Models"
8 / 8 papers shown
Title
Discovering New Shadow Patterns for Black-Box Attacks on Lane Detection of Autonomous Vehicles
Pedram MohajerAnsari
Alkim Domeke
Jan de Voor
Arkajyoti Mitra
Grace Johnson
Amir Salarpour
Habeeb Olufowobi
Mohammad Hamad
Mert D. Pesé
AAML
33
1
0
26 Sep 2024
A Survey on Reinforcement Learning Security with Application to Autonomous Driving
Ambra Demontis
Maura Pintor
Luca Demetrio
Kathrin Grosse
Hsiao-Ying Lin
Chengfang Fang
Battista Biggio
Fabio Roli
AAML
42
4
0
12 Dec 2022
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
22
2
0
02 Nov 2022
Towards Understanding and Boosting Adversarial Transferability from a Distribution Perspective
Yao Zhu
YueFeng Chen
Xiaodan Li
Kejiang Chen
Yuan He
Xiang Tian
Bo Zheng
Yao-wu Chen
Qingming Huang
AAML
33
58
0
09 Oct 2022
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos P. Panousis
S. Chatzis
Antonios Alexos
Sergios Theodoridis
BDL
AAML
OOD
56
19
0
04 Jan 2021
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
11
37
0
13 Jun 2020
Adversarial Attacks and Defenses: An Interpretation Perspective
Ninghao Liu
Mengnan Du
Ruocheng Guo
Huan Liu
Xia Hu
AAML
26
8
0
23 Apr 2020
Defending Against Physically Realizable Attacks on Image Classification
Tong Wu
Liang Tong
Yevgeniy Vorobeychik
AAML
14
125
0
20 Sep 2019
1