https://w3id.org/np/RAktdmO7e56HyQlAV5G13k-17PnfVW-v6B-5FE6h3ZZwo/Head https://w3id.org/np/RAktdmO7e56HyQlAV5G13k-17PnfVW-v6B-5FE6h3ZZwo http://www.nanopub.org/nschema#hasAssertion https://w3id.org/np/RAktdmO7e56HyQlAV5G13k-17PnfVW-v6B-5FE6h3ZZwo/assertion https://w3id.org/np/RAktdmO7e56HyQlAV5G13k-17PnfVW-v6B-5FE6h3ZZwo http://www.nanopub.org/nschema#hasProvenance https://w3id.org/np/RAktdmO7e56HyQlAV5G13k-17PnfVW-v6B-5FE6h3ZZwo/provenance https://w3id.org/np/RAktdmO7e56HyQlAV5G13k-17PnfVW-v6B-5FE6h3ZZwo http://www.nanopub.org/nschema#hasPublicationInfo https://w3id.org/np/RAktdmO7e56HyQlAV5G13k-17PnfVW-v6B-5FE6h3ZZwo/pubinfo https://w3id.org/np/RAktdmO7e56HyQlAV5G13k-17PnfVW-v6B-5FE6h3ZZwo http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.nanopub.org/nschema#Nanopublication https://w3id.org/np/RAktdmO7e56HyQlAV5G13k-17PnfVW-v6B-5FE6h3ZZwo/assertion https://doi.org/10.48550/arXiv.2601.22485 http://purl.org/dc/terms/title FraudShield: Knowledge Graph Empowered Defense for LLMs against Fraud Attacks https://doi.org/10.48550/arXiv.2601.22485 http://purl.org/spar/cito/describes https://neverblink.eu/ontologies/llm-kg/methods#FraudShield https://doi.org/10.48550/arXiv.2601.22485 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#GoalPrioritization https://doi.org/10.48550/arXiv.2601.22485 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#SafetyPrompt https://doi.org/10.48550/arXiv.2601.22485 http://purl.org/spar/cito/discusses https://neverblink.eu/ontologies/llm-kg/methods#SelfReminder https://doi.org/10.48550/arXiv.2601.22485 http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://www.w3.org/ns/prov#Entity https://neverblink.eu/ontologies/llm-kg/methods#FraudShield http://purl.org/dc/terms/subject https://neverblink.eu/ontologies/llm-kg/categories#SynergizedReasoning https://neverblink.eu/ontologies/llm-kg/methods#FraudShield http://www.w3.org/1999/02/22-rdf-syntax-ns#type http://purl.org/spar/fabio/Workflow https://neverblink.eu/ontologies/llm-kg/methods#FraudShield http://www.w3.org/2000/01/rdf-schema#comment FraudShield is a novel framework that leverages LLMs to dynamically construct and refine a fraud tactic-keyword knowledge graph. 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