The paper delivers a systematization of knowledge on AI agent-blockchain interactions via a bidirectional trust framework, an Agent-Blockchain Interaction Model, a five-dimensional evaluation lens, and nine identified open problems.
zkLLM: Zero Knowledge Proofs for Large Language Models
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Blockchain alerting protocols achieve asymptotically optimal O(n²) bribery resistance via simultaneous games and timed commitments, with variants trading storage, time, and synchrony assumptions.
ZKMLOps is an MLOps framework that uses zero-knowledge proofs to generate verifiable cryptographic evidence of AI model compliance without revealing confidential information.
citing papers explorer
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Toward Web 4.0: Bidirectional Trust between AI Agents and Blockchain
The paper delivers a systematization of knowledge on AI agent-blockchain interactions via a bidirectional trust framework, an Agent-Blockchain Interaction Model, a five-dimensional evaluation lens, and nine identified open problems.
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Resilient Alerting Protocols for Blockchains
Blockchain alerting protocols achieve asymptotically optimal O(n²) bribery resistance via simultaneous games and timed commitments, with variants trading storage, time, and synchrony assumptions.
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"Show Me You Comply... Without Showing Me Anything": Zero-Knowledge Software Auditing for AI-Enabled Systems
ZKMLOps is an MLOps framework that uses zero-knowledge proofs to generate verifiable cryptographic evidence of AI model compliance without revealing confidential information.