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  • University of Illinois Urbana-Champaign
  • Bellevue, Washington, USA
  • 20:58 (UTC -07:00)

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@AI-secure
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  1. Robustra Robustra Public

    Forked from locuslab/convex_adversarial

    A method for training neural networks that are provably robust to adversarial attacks. [IJCAI 2019]

    Python 10 3

  2. AI-secure/Certified-Robustness-SoK-Oldver AI-secure/Certified-Robustness-SoK-Oldver Public

    This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular datasets and paper categorization.

    99 10

  3. AI-secure/VeriGauge AI-secure/VeriGauge Public

    A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]

    C 87 6

  4. AI-secure/semantic-randomized-smoothing AI-secure/semantic-randomized-smoothing Public

    [CCS 2021] TSS: Transformation-specific smoothing for robustness certification

    Roff 20 3

  5. DSRS DSRS Public

    Code for Double Sampling Randomized Smoothing [ICML 2022]

    Python 8 2

  6. Verified-Intelligence/alpha-beta-CROWN Verified-Intelligence/alpha-beta-CROWN Public

    alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, and 2023)

    Python 206 46