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- Ethereum News Today: ETH Pushes New ZK Protocol to Power On-Chain Privacy
Ethereum researchers are studying a new protocol that uses zero-knowledge proofs to enable private on-chain matching while protecting user identities The method relies on cryptographic tools, relayers, and participant-generated randomness to maintain anonymity on Ethereum’s transparent network
- Zero Shot Knowledge Transfer - GitHub
Accompanying code for the paper "Zero-shot Knowledge Transfer via Adversarial Belief Matching" - polo5 ZeroShotKnowledgeTransfer
- Introducing Zero-Knowledge Proofs for Private Web Attestation with . . .
This proof is a fairly straightforward zero-knowledge proof, but some steps themselves require zero-knowledge protocols for proving that points were added correctly and arithmetic was done correctly This proof consumes the bulk of the time in proof generation and verification
- Privacy-Preserving Zero Knowledge Scheme for Attribute-based . . . - IJSRET
In order to prevent this form of attack, there is the use zero knowledge proof in our proposed protocol Furthermore, apart from the matched-pair that is privy to their common attributes, no one else does
- Zero-knowledge IOPs Approaching Witness Length - IACR
1 Introduction In this work we design short zero-knowledge Interactive Oracle Proofs (IOPs), whose length ap-proaches the witness length Before describing our results, we first give some background on zero-knowledge IOPs, and the special case of (zero-knowledge) probabilistically-checkable proofs PCPs
- Verifiable Zero-Knowledge Order Queries and Updates for . . . - Springer
We propose a three-party model for maintaining a dynamic data structure that supports verifiable and privacy-preserving (zero-knowledge) queries We give efficient constructions supporting this model for order queries on data organized in lists, trees, and
- Matching principles - Eurex
For the matching process, T7 treats orders and quotes identically Therefore, in the following, the term “order” is generally applied to both orders and quotes Matching is the procedure of finding pairs or groups of orders that are executed against each other In its simplest form, there is one buy order and one sell order that are both executed at the same execution price and with the
- Zero-shot knowledge transfer via adversarial belief matching
Finally, we also propose a metric to quantify the degree of belief matching between teacher and student in the vicinity of decision boundaries, and observe a significantly higher match between our zero-shot student and the teacher, than between a student distilled with real data and the teacher
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