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View Code? Open in Web Editor NEWCode for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
License: Apache License 2.0
Code for KDD' 21 paper: Time Series Anomaly Detection for Cyber-physical Systems via Neural System Identification and Bayesian Filtering
License: Apache License 2.0
Thanks for your great work!
I just wonder how you reproduce the other baseline models' results.
I cannot reproduce the results of SWaT dataset in case of USAD.
(https://github.com/robustml-eurecom/usad)
Also, it seems that your paper has the exact same results as the USAD paeprs'.
Hi, does this model support IP data from packet captures such as addresses, ports, date and time stamps or is does it exclusively deal with signals from sensors and actuators? What modifications would need to be made to accomodate such data?
Hello,In bf_search I see that you have used _adjust_predicts function which has adjusted the predicted values based on the real values, I would like to ask what is the reason for this?
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