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Real-Time Detectors for Digital and Physical Adversarial Inputs to
  Perception Systems

Real-Time Detectors for Digital and Physical Adversarial Inputs to Perception Systems

23 February 2020
Y. Kantaros
Taylor J. Carpenter
Kaustubh Sridhar
Yahan Yang
Insup Lee
James Weimer
    AAML
ArXivPDFHTML

Papers citing "Real-Time Detectors for Digital and Physical Adversarial Inputs to Perception Systems"

7 / 7 papers shown
Title
Targeted Adversarial Attacks against Neural Network Trajectory
  Predictors
Targeted Adversarial Attacks against Neural Network Trajectory Predictors
Kai Liang Tan
Jun Wang
Y. Kantaros
AAML
27
14
0
08 Dec 2022
Out-Of-Distribution Detection Is Not All You Need
Out-Of-Distribution Detection Is Not All You Need
Joris Guérin
Kevin Delmas
Raul Sena Ferreira
Jérémie Guiochet
OODD
29
32
0
29 Nov 2022
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
CODiT: Conformal Out-of-Distribution Detection in Time-Series Data
R. Kaur
Kaustubh Sridhar
Sangdon Park
Susmit Jha
Anirban Roy
O. Sokolsky
Insup Lee
OODD
AI4TS
144
0
0
24 Jul 2022
Real-time Out-of-distribution Detection in Learning-Enabled
  Cyber-Physical Systems
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
Feiyang Cai
X. Koutsoukos
OODD
121
73
0
28 Jan 2020
Shield: Fast, Practical Defense and Vaccination for Deep Learning using
  JPEG Compression
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Siwei Li
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
FedML
AAML
43
224
0
19 Feb 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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