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Adversarial Attacks on Multivariate Time Series

Adversarial Attacks on Multivariate Time Series

31 March 2020
Samuel Harford
Fazle Karim
H. Darabi
    AI4TSAAML
ArXiv (abs)PDFHTML

Papers citing "Adversarial Attacks on Multivariate Time Series"

12 / 12 papers shown
ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification
ReLATE+: Unified Framework for Adversarial Attack Detection, Classification, and Resilient Model Selection in Time-Series Classification
Cagla Ipek Kocal
Onat Gungor
T. Rosing
Baris Aksanli
AAMLAI4TS
208
0
0
26 Aug 2025
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial Attacks
ReLATE: Resilient Learner Selection for Multivariate Time-Series Classification Against Adversarial AttacksComputer Science Symposium in Russia (CSR), 2025
Cagla Ipek Kocal
Onat Gungor
Aaron Tartz
T. Rosing
Baris Aksanli
AAML
323
2
0
10 Mar 2025
Concealed Adversarial attacks on neural networks for sequential data
Concealed Adversarial attacks on neural networks for sequential data
P. Sokerin
Dmitry Anikin
Sofia Krehova
Alexey Zaytsev
AAMLAI4TS
228
0
0
28 Feb 2025
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures
Pooja Krishan
Rohan Mohapatra
Sanchari Das
Saptarshi Sengupta
AAML
281
5
0
27 Aug 2024
Targeted Adversarial Attacks on Wind Power Forecasts
Targeted Adversarial Attacks on Wind Power ForecastsMachine-mediated learning (ML), 2023
René Heinrich
Christoph Scholz
S. Vogt
Malte Lehna
AAML
394
30
0
29 Mar 2023
On the Susceptibility and Robustness of Time Series Models through
  Adversarial Attack and Defense
On the Susceptibility and Robustness of Time Series Models through Adversarial Attack and Defense
Asadullah Hill Galib
Bidhan Bashyal
SILMAAML
134
7
0
09 Jan 2023
Understanding the Vulnerability of Skeleton-based Human Activity
  Recognition via Black-box Attack
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box AttackPattern Recognition (Pattern Recogn.), 2022
Yunfeng Diao
He Wang
Tianjia Shao
Yong-Liang Yang
Kun Zhou
David C. Hogg
Meng Wang
AAML
242
12
0
21 Nov 2022
Towards an Awareness of Time Series Anomaly Detection Models'
  Adversarial Vulnerability
Towards an Awareness of Time Series Anomaly Detection Models' Adversarial VulnerabilityInternational Conference on Information and Knowledge Management (CIKM), 2022
Shahroz Tariq
B. Le
Simon S. Woo
AAMLAI4TS
210
6
0
24 Aug 2022
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and
  Defense Mechanisms
Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense MechanismsInternational Conference on Learning Representations (ICLR), 2022
Linbo Liu
Youngsuk Park
T. Hoang
Hilaf Hasson
Jun Huan
AAML
351
11
0
19 Jul 2022
Universal Adversarial Attack on Deep Learning Based Prognostics
Universal Adversarial Attack on Deep Learning Based Prognostics
Arghya Basak
Pradeep Rathore
S. Nistala
S. Srinivas
Venkataramana Runkana
AAML
232
6
0
15 Sep 2021
Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial RobustnessProceedings of the IEEE (Proc. IEEE), 2020
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
417
52
0
19 Oct 2020
Benchmarking adversarial attacks and defenses for time-series data
Benchmarking adversarial attacks and defenses for time-series dataInternational Conference on Neural Information Processing (ICONIP), 2020
Shoaib Ahmed Siddiqui
Andreas Dengel
Sheraz Ahmed
AAMLAI4TS
219
15
0
30 Aug 2020
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