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@Practical-Code @Stream-AD
bhatiasiddharth/README.md

👋 Hi, I'm Siddharth Bhatia

I am a third-year PhD student at National University of Singapore and interested in Anomaly Detection. My research, MIDAS, is used to detect intrusions and Denial of Service attacks in real-time and streaming manner. It can also be used to detect fake profiles in Social Networks, and Financial Frauds. Previously interned and applied my research at Amazon.

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  1. Stream-AD/MIDAS

    Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

    C++ 538 59

  2. Stream-AD/ExGAN

    Adversarial Generation of Extreme Samples

    Python 37 2

  3. Stream-AD/MStream

    Anomaly Detection on Time-Evolving Streams in Real-time. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

    C++ 22 6

207 contributions in the last year

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October 2020

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September 2020

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