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11. STAMINA Deep Learning for Malware Protection

    2020-05-12 Tags: deep learning, malware, microsoft, intel, image processing by klotz
12. Microsoft researchers work with Intel Labs to explore new deep learning approaches for malware classification - Microsoft Security

    2020-05-12 Tags: microsoft, intel, deep learning, binary, malware, image_processing by klotz
13. Turns out converting files into images is a highly effective way to detect malware | PC Gamer

    2020-05-12 Tags: cnn, security, microsoft, image processing, anomaly detection by klotz
14. Microsoft/LightGBM: A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK

    2019-03-25 Tags: decision tree, microsoft, lightgbm by klotz
15. Towards universal language embeddings - Microsoft Research

    2019-03-19 Tags: embedding, mt-dnn, bert, nlp, microsoft, deep learning by klotz
16. Anomaly Detection – Using Machine Learning to Detect Abnormalities in Time Series Data | Machine Learning Blog

    2018-11-10 Tags: anomaly, time series, deep learning, microsoft by klotz
17. Microsoft and Facebook launch open source project to make neural networks portable | VentureBeat

    Microsoft and Facebook have announced a new open source project today that’s aimed at creating a shared model representation for neural networks across different programming frameworks. Called the Open Neural Network Exchange (ONNX), the new project will make it possible to share models across the Cognitive Toolkit, PyTorch, and Caffe2.

    2018-08-21 Tags: onnx, neural network, deployment, microsoft, facebook by klotz
18. With Q#, Microsoft is throwing programmers the keys to quantum

    2018-08-20 Tags: q#, quantum computing, microsoft, languages by klotz
19. The Sybil Attack John R. Douceur Microsoft Research

    johndo@microsoft.com
    “One can have, some claim, as many electronic personas as one has time and energy to create.”
    – Judith S. Donath 12 »
    Abstract – Large-scale peer-to-peer systems face
    security threats from faulty or hostile remote
    computing elements. To resist these threats, many
    such systems employ redundancy. However, if a
    single faulty entity can present multiple identities,
    it can control a substantial fraction of the system,
    thereby undermining this redundancy. One
    approach to preventing these “Sybil attacks” is to
    have a trusted agency certify identities. This
    paper shows that, without a logically centralized
    authority, Sybil attacks are always possible except
    under extreme and unrealistic assumptions of
    resource parity and coordination among entities.

    2017-01-18 Tags: blockchain, security, microsoft, identity by klotz
20. Joe Duffy - 15 Years of Concurrency

    2016-12-17 Tags: concurrency, midori, microsoft by klotz

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