Adversarial Attacks on Time Series

27 February 2019

Papers citing "Adversarial Attacks on Time Series"

22 / 22 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 142 0 0 26 May 2025
On Creating a Causally Grounded Usable Rating Method for Assessing the Robustness of Foundation Models Supporting Time Series Kausik Lakkaraju Rachneet Kaur Parisa Zehtabi Sunandita Patra Siva Likitha Valluru Zhen Zeng Biplav Srivastava Marco Valtorta AI4TS 103 0 0 17 Feb 2025
Unifying Prediction and Explanation in Time-Series Transformers via Shapley-based Pretraining Qisen Cheng Jinming Xing Chang Xue Xiaoran Yang AI4TS 66 5 0 28 Jan 2025
Differentiable Adversarial Attacks for Marked Temporal Point Processes Pritish Chakraborty Vinayak Gupta R. Raj Srikanta J. Bedathur A. De AAML 422 0 0 17 Jan 2025
Anomalous Example Detection in Deep Learning: A Survey Saikiran Bulusu B. Kailkhura Yue Liu P. Varshney D. Song AAML 128 47 0 16 Mar 2020
Deep learning for time series classification: a review Hassan Ismail Fawaz Germain Forestier J. Weber L. Idoumghar Pierre-Alain Muller AI4TS AI4CE 303 2,689 0 12 Sep 2018
Generalizable Data-free Objective for Crafting Universal Adversarial Perturbations Konda Reddy Mopuri Aditya Ganeshan R. Venkatesh Babu AAML 102 206 0 24 Jan 2018
Multivariate LSTM-FCNs for Time Series Classification Fazle Karim Somshubra Majumdar H. Darabi Samuel Harford AI4TS 49 829 0 14 Jan 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text Nicholas Carlini D. Wagner AAML 91 1,078 0 05 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Ajmal Mian AAML 93 1,867 0 02 Jan 2018
Adversarial Examples: Attacks and Defenses for Deep Learning Xiaoyong Yuan Pan He Qile Zhu Xiaolin Li SILM AAML 86 1,622 0 19 Dec 2017
LSTM Fully Convolutional Networks for Time Series Classification Fazle Karim Somshubra Majumdar H. Darabi Shun Chen AIMat AI4TS 51 1,103 0 08 Sep 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 292 12,060 0 19 Jun 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,725 0 19 May 2017
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning Takeru Miyato S. Maeda Masanori Koyama S. Ishii GAN 146 2,733 0 13 Apr 2017
Adversarial Transformation Networks: Learning to Generate Adversarial Examples S. Baluja Ian S. Fischer GAN 75 285 0 28 Mar 2017
Fast and Accurate Time Series Classification with WEASEL Patrick Schäfer Ulf Leser 72 241 0 26 Jan 2017
Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline Zhiguang Wang Weizhong Yan Tim Oates AI4TS 60 1,652 0 20 Nov 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 112 1,740 0 24 May 2016
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 333 19,634 0 09 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 448 43,277 0 11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification Kaiming He Xinming Zhang Shaoqing Ren Jian Sun VLM 307 18,609 0 06 Feb 2015