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EZKL
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EZKL
@ezklxyz
ezkl.xyz | docs.ezkl.xyz | github.com/zkonduit/ezkl
Joined October 2023
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  • Pinned
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    EZKL
    @ezklxyz
    Apr 10, 2025
    DeFi is crippled by static parameters—swap fees, interest rates, and risk thresholds lag markets by months. @Balancer is integrating @ezklxyz to pioneer dynamic fees that adapt to market volatility in real time, trustlessly. 🧵 No more static parameters—here’s how it works and
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    EZKL
    @ezklxyz
    Feb 5, 2024
    1/ We're excited to launch Lilith, a high-performance backend system for zero-knowledge proof generation at scale. Access the beta here → tinyurl.com/lilith-beta
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    EZKL
    @ezklxyz
    Oct 13, 2023
    1/ We're excited to properly introduce EZKL!📖 Our mission is to extend the computational limits of the EVM, empowering you to bring complex operations on-chain. Read our full post here: blog.ezkl.xyz/post/welcome/
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    EZKL
    @ezklxyz
    Nov 28, 2023
    1/⚙️ZKML with Accelerated Hardware We've integrated the Icicle GPU acceleration library into EZKL, in collaboration with the Ingonyama team. While we've written about the specifics, we also discuss broader strategies for hardware acceleration with ZKML systems.
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    EZKL
    @ezklxyz
    Feb 26, 2025
    🧵 Everyone's been asking: "Can we keep BOTH the model AND data private in zero-knowledge ml?" Since we kicked off EZKL, the answer was a frustrating NO. With ZK-SNARKs, someone always needed to see both. Today, we're changing that with Collaborative SNARKs for EZKL🤝
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    EZKL
    @ezklxyz
    Nov 21, 2023
    1/🌎ZKML for Gaming & Autonomous Worlds Autonomous worlds presents a novel framework for thinking about digital ecosystems. 💡We have a few ideas on how to leverage ZKML — not only for implementing these worlds, but for extending the realm of possibities.
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    EZKL
    @ezklxyz
    Dec 14, 2023
    1/🛡️Building Verifiable Computation We discuss our experiments around proof-carrying data, an approach for achieving verifiable computation. Our first experiment reimagines the Zupass PCD manager with EZKL-compiled PCDs, with more to come.
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    EZKL
    @ezklxyz
    Feb 22, 2024
    We are excited to announce our partnership with @Optimism in verifying the integrity of the Retroactive Public Goods Funding (RetroPGF) initiative. For full details check out our blog post: blog.ezkl.xyz/post/retropgf.
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    EZKL
    @ezklxyz
    Jan 7, 2025
    Zero-knowledge proofs were meant to revolutionize privacy. But there's one massive problem: They've mostly been confined to powerful servers and browser environments. We're changing this with our iOS bindings.
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    EZKL
    @ezklxyz
    Apr 1, 2024
    We are excited to demo retrofunding.ezkl.xyz, a webapp for verifying @Optimism's recent 30MM OP RetroPGF allocation. • For badgeholders, check your vote was fairly counted • For recipients, check your allocation was fairly calculated • For everyone, social consensus!
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    EZKL
    @ezklxyz
    Jan 29, 2024
    🔍Benchmarking ZKML Frameworks Last year, we saw ZKML garner significant interest — but there's still much R&D to be done. This benchmark serves as a reference for developers building with ZK as the technology advances, and also as a self-reference for continued improvement.
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    EZKL
    @ezklxyz
    Mar 20, 2025
    EZKL is now the first audited and production ready foundation for verifiable ML applications. Join developers building with the leading end-to-end tooling to secure AI systems on any device. 🧵 Here's what we learned from @trailofbits :
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    EZKL
    @ezklxyz
    Feb 9, 2024
    1/ We're excited to collaborate with @TobinSouth and @alex_pentland from MIT, and @shreyjaineth from Microsoft on research around verifiable evaluation attestation.
    arXiv logo
    arxiv.org
    Verifiable evaluations of machine learning models using zkSNARKs
    In a world of increasing closed-source commercial machine learning models, model evaluations from developers must be taken at face value. These benchmark results-whether over task accuracy, bias...
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    EZKL
    @ezklxyz
    Jan 14, 2025
    🧵 EZKL's 2024 Wrapped: ZKML used to mean hand-coding neural nets in Rust and 10-min proof times for basic convnets. Today, EZKL can ZK practically any computational graph you throw at it. xgboost proving? 15x faster in 2024. But here's where it gets interesting...
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