Analysis of 14,727 security and privacy prompts from WildChat finds commercial LLMs give higher-quality responses than open-weight models but can produce inconsistent answers across repeated queries.
In: Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
6 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 6roles
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background 2representative citing papers
Ledger-state stigmergy maps biological indirect coordination to blockchain ledgers via a state-transition formalism and three base patterns for on-chain agent coordination.
Annotary is a concolic execution system for smart contract vulnerability detection that uses source-code annotations, symbolic EVM execution, and blockchain data resolution to handle inter-contract and inter-transaction flows.
The paper examines denial-of-service risks to multi-round transaction simulation arising from inter-transaction dependencies in smart-contract state.
SPEAR applies multi-agent systems with planning, execution, and repair agents using negotiation protocols to smart contract auditing and compares it empirically to centralized and pipeline approaches.
A formal coordination model with dynamic roles and data-driven transitions enables a toolchain for validating models, generating Solidity smart contracts, and synthesizing tests.
citing papers explorer
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Security and Privacy Prompts in the Wild: What Users Ask LLMs and How LLMs Respond
Analysis of 14,727 security and privacy prompts from WildChat finds commercial LLMs give higher-quality responses than open-weight models but can produce inconsistent answers across repeated queries.
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Ledger-State Stigmergy: A Formal Framework for Indirect Coordination Grounded in Distributed Ledger State
Ledger-state stigmergy maps biological indirect coordination to blockchain ledgers via a state-transition formalism and three base patterns for on-chain agent coordination.
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Annotary: A Concolic Execution System for Developing Secure Smart Contracts
Annotary is a concolic execution system for smart contract vulnerability detection that uses source-code annotations, symbolic EVM execution, and blockchain data resolution to handle inter-contract and inter-transaction flows.
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Position Paper: Denial-of-Service against Multi-Round Transaction Simulation
The paper examines denial-of-service risks to multi-round transaction simulation arising from inter-transaction dependencies in smart-contract state.
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SPEAR: An Engineering Case Study of Multi-Agent Coordination for Smart Contract Auditing
SPEAR applies multi-agent systems with planning, execution, and repair agents using negotiation protocols to smart contract auditing and compares it empirically to centralized and pipeline approaches.
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Automatic Code and Test Generation of Smart Contracts from Coordination Models
A formal coordination model with dynamic roles and data-driven transitions enables a toolchain for validating models, generating Solidity smart contracts, and synthesizing tests.