Adversarial Attacks on Deep Neural Networks for Time Series Classification

17 March 2019

Germain Forestier

Papers citing "Adversarial Attacks on Deep Neural Networks for Time Series Classification"

20 / 20 papers shown

Title
Differentiable Adversarial Attacks for Marked Temporal Point Processes Pritish Chakraborty Vinayak Gupta R. Raj Srikanta J. Bedathur A. De AAML 230 0 0 17 Jan 2025
Availability Adversarial Attack and Countermeasures for Deep Learning-based Load Forecasting Wangkun Xu Fei Teng AAML 24 4 0 04 Jan 2023
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 38 6 0 27 Nov 2022
Understanding the Vulnerability of Skeleton-based Human Activity Recognition via Black-box Attack Yunfeng Diao He Wang Tianjia Shao Yong-Liang Yang Kun Zhou David C. Hogg Meng Wang AAML 40 7 0 21 Nov 2022
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning Yiran Huang Yexu Zhou Michael Hefenbrock T. Riedel Likun Fang Michael Beigl AAML 24 3 0 15 Nov 2022
Dynamic Time Warping based Adversarial Framework for Time-Series Domain Taha Belkhouja Yan Yan J. Doppa AAML AI4TS 27 25 0 09 Jul 2022
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis Taha Belkhouja Yan Yan J. Doppa OOD AI4TS 30 9 0 09 Jul 2022
Robust Probabilistic Time Series Forecasting Taeho Yoon Youngsuk Park Ernest K. Ryu Yuyang Wang AAML AI4TS 20 18 0 24 Feb 2022
Verification-Aided Deep Ensemble Selection Guy Amir Tom Zelazny Guy Katz Michael Schapira AAML 30 18 0 08 Feb 2022
TSAX is Trending Muhammad Fuad AI4TS 32 1 0 24 Dec 2021
Are socially-aware trajectory prediction models really socially-aware? Saeed Saadatnejad Mohammadhossein Bahari Pedram J. Khorsandi Mohammad Saneian Seyed-Mohsen Moosavi-Dezfooli Alexandre Alahi AAML 32 42 0 24 Aug 2021
The Duo of Artificial Intelligence and Big Data for Industry 4.0: Review of Applications, Techniques, Challenges, and Future Research Directions Senthil Kumar Jagatheesaperumal Mohamed Rahouti Kashif Ahmad Ala I. Al-Fuqaha Mohsen Guizani AI4CE 17 19 0 06 Apr 2021
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Dongrui Wu Jiaxin Xu Weili Fang Yi Zhang Liuqing Yang Xiaodong Xu Hanbin Luo Xiang Yu AAML 27 25 0 04 Feb 2021
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges Kashif Ahmad Majdi Maabreh M. Ghaly Khalil Khan Junaid Qadir Ala I. Al-Fuqaha 27 142 0 14 Dec 2020
Instance-based Counterfactual Explanations for Time Series Classification Eoin Delaney Derek Greene Mark T. Keane CML AI4TS 19 89 0 28 Sep 2020
Crafting Adversarial Examples for Deep Learning Based Prognostics (Extended Version) Gautam Raj Mode K. A. Hoque AAML 14 17 0 21 Sep 2020
Adversarial jamming attacks and defense strategies via adaptive deep reinforcement learning Feng Wang Chen Zhong M. C. Gursoy Senem Velipasalar AAML 18 8 0 12 Jul 2020
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Bo-wen Li P. Varshney D. Song AAML 28 47 0 16 Mar 2020
InceptionTime: Finding AlexNet for Time Series Classification Hassan Ismail Fawaz Benjamin Lucas Germain Forestier Charlotte Pelletier Daniel F. Schmidt J. Weber Geoffrey I. Webb L. Idoumghar Pierre-Alain Muller Franccois Petitjean AI4TS 102 1,072 0 11 Sep 2019
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,842 0 08 Jul 2016