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#privacy4 — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #privacy4, aggregated by home.social.

  1. Datarainbow Privacy Assistant✅ @[email protected] ·

    #US #privacy4 #law #us #regulation fortune.com/2024/04/08/apra-us

    #us #privacy4 #law #regulation
  2. cynicalsecurity :cm_2: @[email protected] ·
    CW: arXiv review

    M. de Arruda Botelho Herr et al., "Bringing the Algorithms to the Data -- Secure Distributed Medical Analytics using the Personal Health Train (PHT-meDIC)"¹

    The need for data privacy and security -- enforced through increasingly strict data protection regulations -- renders the use of healthcare data for machine learning difficult. In particular, the transfer of data between different hospitals is often not permissible and thus cross-site pooling of data not an option. The Personal Health Train (PHT) paradigm proposed within the GO-FAIR initiative implements an 'algorithm to the data' paradigm that ensures that distributed data can be accessed for analysis without transferring any sensitive data. We present PHT-meDIC, a productively deployed open-source implementation of the PHT concept. Containerization allows us to easily deploy even complex data analysis pipelines (e.g, genomics, image analysis) across multiple sites in a secure and scalable manner. We discuss the underlying technological concepts, security models, and governance processes. The implementation has been successfully applied to distributed analyses of large-scale data, including applications of deep neural networks to medical image data.

    #arXiv #ResearchPapers #MedicalData #privacy4

    __
    ¹ arxiv.org/abs/2212.03481

    #arxiv #researchpapers #medicaldata #privacy4
  3. Doc Edward Morbius ⭕​ @[email protected] ·

    44 bits

    So, a redditor tracked down the location of a monolith placed in the Utah desert a few years ago, recently discovered by authorities, who did not disclose where it was.[1]

    It's relatively well known that 33 distinct bits is enough to uniquely identify any individual person now alive on Earth.[2]

    Geospatially, assuming 10m2 resolution, 44 bits is enough to identify any unique region on Earth's land surface (46 bits buys you the oceans).

    Searching for a ~1m2 monolith visually within a 10m2 square is reasonable.

    GNU units:

    You have: ln((.3 * 4 * (earthradius^2) * pi)/10m^2)/ln(2)
            Definition: 43.798784
    You have: ln((1 * 4 * (earthradius^2) * pi)/10m^2)/ln(2)
            Definition: 45.535749

    49 bits buys 1m accuracy, 63 1cm, 69 1mm. Anywhere on Earth, land or sea.

    For comparison, cellphone positioning accuracy is typically 8--600m:

    • 3G iPhone w/ A-GPS ~ 8 meters
    • 3G iPhone w/ wifi ~ 74 meters
    • 3G iPhone w/ Cellular positioning ~ 600 meters

    communityhealthmaps.nlm.nih.go

    gps.gov/systems/gps/performanc

    The power of disparate data traces to rapidly narrow down search spaces on a specific item, individual, or location, is what makes #BigData aggreggation so powerful, and terrifying.

    Notes:

    1. old.reddit.com/r/geoguessr/com news.ycombinator.com/item?id=2

    2. web.archive.org/web/2016030401

    #privacy4 #location #33bits #44bits #data #deanonimization #DataAreLiability #surveillance #SurveillanceState #SurveillanceCapitalism

    #surveillancecapitalism #surveillancestate #surveillance #dataareliability #deanonimization #data
  4. CryptPad @[email protected] ·

    We just released CryptPad 3.6.0, named after the Panamanian golden frog. This release features a number of bug fixes and another batch of usability improvements. Read the full release notes on GitHub (github.com/xwiki-labs/cryptpad) and try it out on CryptPad.fr ! #privacy4

    #privacy4