Ethan Rudd

@EthanMRudd

Tech Enthusiast, Optimist, Connoisseur, Scientist, Skeptic.

Vrijeme pridruživanja: siječanj 2018.
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  1. proslijedio/la je Tweet
    9. kol 2019.

    Now up at : on the multi-target training approach we've developed for malware classification at Data Science!

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  2. proslijedio/la je Tweet
    17. srp 2019.

    Auxiliary Loss Optimization for Hypothesis Augmentation (ALOHA) for DGA Domain Detection << where I try using ALOHA, recently published by , but on DGA domains

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  3. proslijedio/la je Tweet
    31. svi 2019.

    No changes to endpoint software/infrastructure are required to deploy this neural network.

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  4. proslijedio/la je Tweet
    31. svi 2019.

    Using detections from multiple vendors, from a threat intelligence feed with semantic malware attribute tags and total number of detections, we combine multiple loss functions to minimize during training, resulting in a significantly enhanced neural network.

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  5. proslijedio/la je Tweet
    31. svi 2019.

    Sophos’s Data Science team paper accepted to the Usenix Security Symposium 2019: “Auxiliary Loss Optimization for Hypothesis Augmentation” (ALOHA). Deep learning from multiple threat intelligence sources at once leads to better detection!

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  6. proslijedio/la je Tweet
    22. svi 2019.

    Happy to share the preprint of our latest work on malware description via tagging, "Semantic Malware Attribute Relevance Tagging" ( ) ). With , , and at

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  7. proslijedio/la je Tweet
    20. svi 2019.

    Our new manuscript (with and ) on combining file path information into a static detection model is out: Learning from Context: Exploiting and Interpreting File Path Information for Better Malware Detection

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  8. proslijedio/la je Tweet
    16. svi 2019.

    I am super excited about our new paper "SMART: Semantic Malware Attribute Relevance Tagging" (with , and Tad) . Feedback and comments welcome.

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  9. 17. ožu 2019.

    One uses neural networks to estimate not only the classification output but the expected uncertainty in the prediction. The other adds a multi-objective loss function to to get some nice performance boosts in PE malware detection.

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  10. 17. ožu 2019.

    Two new arxiv pre-prints that my colleagues and I on the Data Science team have released! ,

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    29. lip 2018.

    How do we design our models to learn background context and the right kind of low-dimensional representation? We break down how this works...

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  12. proslijedio/la je Tweet
    19. lip 2018.

    How do we design our models to learn background context and the right kind of low-dimensional representation? We break down how this works...

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  13. 18. lip 2018.

    My first media appearance as an "expert" on nationally syndicated radio talkshow host Kim Komando's podcast. My interview portion starts at 24:00:

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  14. 18. lip 2018.

    An incisive blog post about ill-posed formulations of classical decision machines – not that I’m biased or anything;-)

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