Benchmarking adversarial attacks and defenses for time-series data

30 August 2020

Papers citing "Benchmarking adversarial attacks and defenses for time-series data"

5 / 5 papers shown

Title
Are Time-Series Foundation Models Deployment-Ready? A Systematic Study of Adversarial Robustness Across Domains Jiawen Zhang Zhenwei Zhang Shun Zheng Xumeng Wen Jia Li Jiang Bian AI4TS AAML 120 0 0 26 May 2025
Adversarial Attacks on Deep Neural Networks for Time Series Classification Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AAML 42 134 0 17 Mar 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 63 894 0 18 Feb 2019
Feature Denoising for Improving Adversarial Robustness Cihang Xie Yuxin Wu Laurens van der Maaten Alan Yuille Kaiming He 76 907 0 09 Dec 2018
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 159 14,831 1 21 Dec 2013