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#homomorphicencryption — Public Fediverse posts

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

  1. On Thursday COSIC researcher Oliver Zajonc will be presenting "FHE for Multiple Parties using NTRU and LWE" online at FHE.org:
    luma.com/FHE.org-082
    #FHE #HomomorphicEncryption #NTRU #LWE

  2. On Thursday COSIC researcher Oliver Zajonc will be presenting "FHE for Multiple Parties using NTRU and LWE" online at FHE.org:
    luma.com/FHE.org-082
    #FHE #HomomorphicEncryption #NTRU #LWE

  3. In today's riveting 2503-page saga 📜, we are taken on a thrill ride through the magical land of Homomorphic Encryption 🧙‍♂️. It's like a bedtime story for statisticians, where the climax is realizing you have absolutely no idea what you just read. Thank you, arXiv, for assuming we have an endless reservoir of brain cells to waste. 🤯✨
    arxiv.org/abs/2503.05136 #HackerNews #HomomorphicEncryption #TechThrills #DataPrivacy #MindBlown #HackerNews #ngated

  4. In today's riveting 2503-page saga 📜, we are taken on a thrill ride through the magical land of Homomorphic Encryption 🧙‍♂️. It's like a bedtime story for statisticians, where the climax is realizing you have absolutely no idea what you just read. Thank you, arXiv, for assuming we have an endless reservoir of brain cells to waste. 🤯✨
    arxiv.org/abs/2503.05136 #HackerNews #HomomorphicEncryption #TechThrills #DataPrivacy #MindBlown #HackerNews #ngated

  5. Lorenzo Rovida (University of Milano-Bicocca) is visiting COSIC and gave a seminar on "Lightweight Sorting in Approximate Homomorphic Encryption". Missed it? Good news, it's now online!
    🎥 youtube.com/watch?v=ea066flbddU
    #HomomorphicEncryption #COSICSeminar #COSIC

  6. NCSC Guidance on “Advanced Cryptography”

    The UK’s National Cyber Security Centre just released its white paper on “Advanced Cryptography,” which it defines as “cryptographic techniques for proc... schneier.com/blog/archives/202

    #homomorphicencryption #Uncategorized #cryptography #reports

  7. Exciting developments in the world of Homomorphic Encryption! 🌐 This groundbreaking technology allows for secure computation on encrypted data, paving the way for enhanced capabilities in various sectors. The HomomorphicEncryption.org consortium is leading the charge in standardizing these innovations. Join their efforts and stay updated! 💡 #HomomorphicEncryption #DataSecurity #FHE #EncryptionRevolution #newz

    homomorphicencryption.org/

  8. Exciting developments in the world of Homomorphic Encryption! 🌐 This groundbreaking technology allows for secure computation on encrypted data, paving the way for enhanced capabilities in various sectors. The HomomorphicEncryption.org consortium is leading the charge in standardizing these innovations. Join their efforts and stay updated! 💡 #HomomorphicEncryption #DataSecurity #FHE #EncryptionRevolution #newz

    homomorphicencryption.org/

  9. I just learned of homomorphic encryption and this tech sounds pretty cool. It seems pretty useful as it allows data to be used while never decrypting it. I need to read up more to find out how this all works.

    https://en.wikipedia.org/wiki/Homomorphic_encryption

    #HomomorphicEncryption #encryption #infosec

  10. #Tweet RT @encrypt_project: 🆕 Fresh addition to ENCRYPT #BlogSeries
    👉 "Ensuring Data Privacy in Distributed Learning"
    by Martin Zuber, at @CEA_List, is now available at encrypt-project.eu/communicati

    💡 Discover how #HomomorphicEncryption techniques are safegu… twitter.com/mndell/status/1685

  11. CW: research review

    N. Samardzic et al., "CraterLake: a hardware accelerator for efficient unbounded computation on encrypted data"¹

    Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due to its prohibitive overheads, about 10,000X over unencrypted computation. Recent FHE accelerators have made strides to bridge this performance gap. Unfortunately, prior accelerators only work well for simple programs, but become inefficient for complex programs, which bring additional costs and challenges.
    We present CraterLake, the first FHE accelerator that enables FHE programs of unbounded size (i.e., unbounded multiplicative depth). Such computations require very large ciphertexts (tens of MBs each) and different algorithms that prior work does not support well. To tackle this challenge, CraterLake introduces a new hardware architecture that efficiently scales to very large cipher-texts, novel functional units to accelerate key kernels, and new algorithms and compiler techniques to reduce data movement.
    We evaluate CraterLake on deep FHE programs, including deep neural networks like ResNet and LSTMs, where prior work takes minutes to hours per inference on a CPU. CraterLake outperforms a CPU by gmean 4,600X and the best prior FHE accelerator by 11.2X under similar area and power budgets. These speeds enable realtime performance on unbounded FHE programs for the first time.

    #ResearchPapers #HomomorphicEncryption #HardwareAcceleration
    __
    ¹ dl.acm.org/doi/10.1145/3470496

  12. DataFleets keeps private data useful, and useful data private, with federated learning and $4.5M seed - As you may already know, there’s a lot of data out there, and some of it could actually be pretty us... - feedproxy.google.com/~r/Techcr #artificialintelligence #homomorphicencryption #federatedlearning #machinelearning #enterprisesaas #enterprise #datafleets #encryption #security #privacy #b2bsaas #saas #b2b #tc