Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models

5 October 2022

Papers citing "Practical Adversarial Attacks on Spatiotemporal Traffic Forecasting Models"

20 / 20 papers shown

Title
AutoSTF: Decoupled Neural Architecture Search for Cost-Effective Automated Spatio-Temporal Forecasting Tengfei Lyu Weijia Zhang Jinliang Deng Hao Liu AI4TS 43 1 0 25 Sep 2024
Query-Efficient Black-box Adversarial Attacks Guided by a Transfer-based Prior Yinpeng Dong Shuyu Cheng Tianyu Pang Hang Su Jun Zhu AAML 21 57 0 13 Mar 2022
Spatially Focused Attack against Spatiotemporal Graph Neural Networks Fuqiang Liu L. Miranda-Moreno Lijun Sun AAML AI4TS 14 5 0 10 Sep 2021
ETA Prediction with Graph Neural Networks in Google Maps Austin Derrow-Pinion Jennifer She David Wong O. Lange Todd Hester ... Ang Li Zhongwen Xu Alvaro Sanchez-Gonzalez Yujia Li Petar Velivcković AI4TS 38 228 0 25 Aug 2021
TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning Xu Chen Junshan Wang Kunqing Xie AI4TS AI4CE 28 62 0 11 Jun 2021
Adversarial Diffusion Attacks on Graph-based Traffic Prediction Models Lyuyi Zhu Kairui Feng Ziyuan Pu Wei-Ying Ma AAML DiffM 22 12 0 19 Apr 2021
Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks Jindong Han Hao Liu Hengshu Zhu Hui Xiong Dejing Dou 85 75 0 30 Dec 2020
Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting Lei Bai Lina Yao Can Li Xianzhi Wang Can Wang GNN AI4TS 44 1,165 0 06 Jul 2020
Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks Zonghan Wu Shirui Pan Guodong Long Jing Jiang Xiaojun Chang Chengqi Zhang AI4TS 55 1,365 0 24 May 2020
Adversarial Attacks and Defenses in Images, Graphs and Text: A Review Han Xu Yao Ma Haochen Liu Debayan Deb Hui Liu Jiliang Tang Anil K. Jain AAML 47 673 0 17 Sep 2019
Graph WaveNet for Deep Spatial-Temporal Graph Modeling Zonghan Wu Shirui Pan Guodong Long Jing Jiang Chengqi Zhang GNN AI4TS 39 2,130 0 31 May 2019
Adversarial Training and Robustness for Multiple Perturbations Florian Tramèr Dan Boneh AAML SILM 52 376 0 30 Apr 2019
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction Ling Zhao Yujiao Song Chao Zhang Yu Liu Pu Wang Tao Lin Min Deng Haifeng Li AI4TS 49 2,004 0 12 Nov 2018
Deep Sequence Learning with Auxiliary Information for Traffic Prediction Binbing Liao Jingqing Zhang Chao Wu Douglas McIlwraith Tong Chen Shengwen Yang Yike Guo Fei Wu 39 209 0 13 Jun 2018
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 212 9,687 0 25 Oct 2017
Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting Ting Yu Haoteng Yin Zhanxing Zhu GNN AI4TS 56 3,675 0 14 Sep 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 181 11,962 0 19 Jun 2017
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction Junbo Zhang Yu Zheng Dekang Qi 3DPC AI4TS 56 2,040 0 01 Oct 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 122 18,922 0 20 Dec 2014
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 101 7,252 0 20 Dec 2013