Small perturbations are enough: Adversarial attacks on time series prediction

Towards link inference attack against network structure perturbation

(2021) Xingping Xian et al.   KNOWLEDGE-BASED SYSTEMS

Optimal Attack Strategy Against Fault Detectors for Linear Cyber-Physical Systems

(2021) Xiao-Lei Wang   INFORMATION SCIENCES

Parameter discrepancy hypothesis: adversarial attack for graph data

(2021) Yiteng Wu et al.   INFORMATION SCIENCES

A Dynamic Convolutional Neural Network Based Shared-Bike Demand Forecasting Model

(2021) Shaojie Qiao et al.   ACM Transactions on Intelligent Systems and Technology

NetSRE: Link predictability measuring and regulating

(2020) Xingping Xian et al.   KNOWLEDGE-BASED SYSTEMS

Adversarial attacks on deep-learning-based radar range profile target recognition

(2020) Teng Huang et al.   INFORMATION SCIENCES

DeepEC: Adversarial Attacks against Graph Structure Prediction Models

(2020) Xingping Xian et al.   NEUROCOMPUTING

Adversarial Attacks on Time Series

(2020) Fazle Karim et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

An LSTM-Based Method with Attention Mechanism for Travel Time Prediction

(2019) Xiangdong Ran et al.   SENSORS

Fuzzy time series forecasting based on proportions of intervals and particle swarm optimization techniques

(2019) Shyi-Ming Chen et al.   INFORMATION SCIENCES

Temporal pattern attention for multivariate time series forecasting

(2019) Shun-Yao Shih et al.   MACHINE LEARNING

Adversarial Examples: Attacks and Defenses for Deep Learning

(2019) Xiaoyong Yuan et al.   IEEE Transactions on Neural Networks and Learning Systems

Low dimensional mid-term chaotic time series prediction by delay parameterized method

(2019) Xiaoxiang Guo et al.   INFORMATION SCIENCES

Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids

(2018) Zibin Zheng et al.   IEEE Transactions on Industrial Informatics

A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization

(2018) Shaojie Qiao et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Electricity load forecasting by an improved forecast engine for building level consumers

(2017) Yang Liu et al.   ENERGY

Evaluating the Visualization of What a Deep Neural Network Has Learned

(2017) Wojciech Samek et al.   IEEE Transactions on Neural Networks and Learning Systems

Time-series data mining

(2012) Philippe Esling et al.   ACM COMPUTING SURVEYS

An Empirical Comparison of Machine Learning Models for Time Series Forecasting

(2010) Nesreen K. Ahmed et al.   Econometric Reviews

A review on time series data mining

(2010) Tak-chung Fu   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE