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Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A
  Comprehensive Benchmark on the Tennessee Eastman Process

Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process

20 March 2024
Vitaliy Pozdnyakov
Aleksandr Kovalenko
Ilya Makarov
Mikhail Drobyshevskiy
Kirill Lukyanov
    AAML
ArXivPDFHTML

Papers citing "Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process"

3 / 3 papers shown
Title
An Incremental Gray-box Physical Adversarial Attack on Neural Network
  Training
An Incremental Gray-box Physical Adversarial Attack on Neural Network Training
Rabiah Al-qudah
Moayad Aloqaily
B. Ouni
Mohsen Guizani
T. Lestable
AAML
38
4
0
20 Feb 2023
Graph Neural Networks with Trainable Adjacency Matrices for Fault
  Diagnosis on Multivariate Sensor Data
Graph Neural Networks with Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data
Alexander Kovalenko
Vitaliy Pozdnyakov
Ilya Makarov
AI4CE
20
9
0
20 Oct 2022
Data Poisoning Attacks Against Multimodal Encoders
Data Poisoning Attacks Against Multimodal Encoders
Ziqing Yang
Xinlei He
Zheng Li
Michael Backes
Mathias Humbert
Pascal Berrang
Yang Zhang
AAML
113
45
0
30 Sep 2022
1