2 papers
cs.LG2022
Universal Distributional Decision-based Black-box Adversarial Attack with Reinforcement Learning
Yiran Huang, Yexu Zhou, Michael Hefenbrock +3
The vulnerability of the high-performance machine learning models implies a security risk in applications with real-world consequences. Research on adversarial attacks is beneficia…
cs.LG2020
Automatic Remaining Useful Life Estimation Framework with Embedded Convolutional LSTM as the Backbone
Yexu Zhou, Yuting Gao, Yiran Huang +3
An essential task in predictive maintenance is the prediction of the Remaining Useful Life (RUL) through the analysis of multivariate time series. Using the sliding window method,…