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  • Proof-of-Learning is Currently More Broken Than You Think
    Proof-of-Learning (PoL) proposes that a model owner logs training checkpoints to establish a proof of having expended the computation necessary for training The authors of PoL forego cryptographic approaches and trade rigorous security guarantees for scalability to deep learning They empirically argued the benefit of this approach by showing how spoofing--computing a proof for a stolen model
  • Ayushjain2205 proof-of-learning-protocol - GitHub
    Ayushjain2205 proof-of-learning-protocol Public Notifications You must be signed in to change notification settings Fork 0 Star 0
  • Provably Secure Blockchain Protocols from Distributed Proof-of-Deep . . .
    This work is the first to provide formal proofs for deep learning-involved blockchain protocols concerning the robust ledger properties, i e , chain growth, chain quality, and common prefix
  • Zero-knowledge proof - Wikipedia
    Zero-knowledge proof In cryptography, a zero-knowledge proof (also known as a ZK proof or ZKP) is a protocol in which one party (the prover) can convince another party (the verifier) that some given statement is true, without conveying to the verifier any information beyond the mere fact of that statement's truth [1]
  • A Proof of learning Protocol - LinkedIn
    With a decentralized, proof of learning protocol, we can convert that Bloat, into Float used to directly sponsor learners and teachers
  • Proof of Knowledge Protocols: Verifying Learning Without Trust
    See how proof of knowledge protocols transformed real learning outcomes Actual data, real results — plus takeaways you can use today
  • On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof . . .
    Proof-of-learning (PoL) proposes a model owner use machine learning training checkpoints to establish a proof of having expended the necessary compute for training The authors of PoL forego cryptographic approaches and trade rigorous security guarantees for scalability to deep learning by being applicable to stochastic gradient descent and adaptive variants This lack of formal analysis
  • Researchers develop new protocols to validate integrity of machine . . .
    As an application of cryptography, zero-knowledge proof protocols are a mathematical method that allows the owner of a machine-learning model to produce a succinct proof of it to prove with overwhelming probability that something is true without sharing any extra information about it
  • On the Fundamental Limits of Formally (Dis)Proving Robustness in Proof . . .
    Proof-of-learning (PoL) proposes a model owner use machine learning training checkpoints to establish a proof of having expended the necessary compute for training The authors of PoL forego cryptographic approaches and trade rigorous security guarantees for scalability to deep learning by being applicable to stochastic gradient descent and adaptive variants This lack of formal analysis
  • LiFi Releases Multibridge Message Aggregator to Improve DAO Governance . . .
    An official announcement by the head of research at LiFi, Arjun Chand, revealed that the multichain bridging protocol launched a multi-message aggregator to support the decentralized autonomous organization's (DAO) performance The new aggregator has defensive features to prevent governance attacks from the cross-chain bridge exploit The researcher anticipates that if the newly launched
  • arXiv. org e-Print archive
    FedChain presents a secure and efficient blockchain protocol using federated learning as proof of work, ensuring robust architecture and consensus
  • Provably Secure Blockchain Protocols from Distributed Proof-of-Deep . . .
    A recent approach utilizes the training process of deep learning as ``useful work'' However, these works lack security analysis when deploying them with blockchain-based protocols, let alone the informal and over-complicated system design This work proposes a distributed proof-of-deep-learning (D-PoDL) scheme concerning PoUW's requirements
  • Proof-of-Learning: A Blockchain Consensus Mechanism Based on Machine . . .
    This article presents WekaCoin, a peer-to-peer cryptocurrency based on a new distributed consensus protocol called Proof-of-Learning Proof-of-learning achieves distributed consensus by ranking machine learning systems for a given task The aim of this protocol is to alleviate the computational waste involved in hashing-based puzzles and to create a public distributed and verifiable database
  • Provably Secure Blockchain Protocols from Distributed Proof-of-Deep . . .
    Provably Secure Blockchain Protocols from Distributed Proof-of-Deep-Learning Xiangyu Su1, Mario Larangeira1, 2, and Keisuke Tanaka1





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