When a Tree Falls in St. Louis, Will the Power Go Out?
A superlative bit of combinatorial scholarship coming out of St. Louis University, where Sean Hartling, Vasit Sagan, Paheding Sidike, Maitiniyazi Maimaitijiang and Joshua Carron have lashed-up geospatial sciences, machine learning, UAVs, and no-small level of intellectual virtuosity to study trees, the natural felling thereof, and power outages. Todays’ Must Read for you ICS Boffins and Foresty geeks (while not ignoring the AI, ML, UAv and Network Information Security types as well).
“At SLU, geospatial science meets machine learning. In a study recently published in Sensors, Saint Louis University researchers paired satellite imaging data with machine learning techniques to map local tree species and health. The data generated by the project will help inform best practices for managing healthy green spaces as well as trimming programs to avoid power outages following storms.” – via Carrie Bebermeyer, Senior Media Relations Specialist at St. Louis University
- USENIX Security ’22 – Xudong Pan, Mi Zhang, Beina Sheng, Jiaming Zhu, Min Yang – ‘Hidden Trigger Backdoor Attack On NLP Models Via Linguistic Style Manipulation’
- USENIX Security ’22 – Yufei Chen, Xi’an Chao Shen, Cong Wang, Yang Zhang – ‘Teacher Model Fingerprinting Attacks Against Transfer Learning’
- Randall Munroe’s XKCD ‘Air Handler’
*** This is a Security Bloggers Network syndicated blog from Infosecurity.US authored by Marc Handelman. Read the original post at: https://www.infosecurity.us/blog/2019/5/9/when-a-tree-falls-in-st-louis-will-the-power-go-out