Join our meetup, learn, connect, share, and get to know your Toronto AI community.
Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.
Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.
MIDAS detects microcluster anomalies from an edge stream in constant time and memory, while providing theoretical guarantees about its false positive probability. Microcluster anomalies are suddenly arriving groups of suspiciously similar edges, such as lockstep behavior and denial of service attacks in network traffic data.
Paper: https://www.comp.nus.edu.sg/~sbhatia/assets/pdf/midas.pdf (Accepted at AAAI 2020)
Code: https://github.com/bhatiasiddharth/MIDAS
Feedback is welcome!
submitted by /u/siddharthb_
[link] [comments]