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Home/Authors/KrishnaSaiReddy Patil

KrishnaSaiReddy Patil

3 indexed papers

Recent (6 mo)
3
With code
0
Influential cites
0
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Publications per year

3
26

Top categories

Crypto×3AI×3Multiagent×1

Research Timeline

2026
CivicShield: A Cross-Domain Defense-in-Depth Framework for Securing Government-Facing AI Chatbots Against Multi-Turn Adversarial Attacks

CivicShield introduces a novel, seven-layered defense-in-depth framework that significantly enhances the security of government-facing AI chatbots against sophisticated multi-turn adversarial attacks.

RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems

RAGShield introduces a novel, pattern-based defense system that accurately detects subtle numerical claim manipulation in government RAG systems, overcoming the inherent blind spot of embedding-based defenses.

SentinelAgent: Intent-Verified Delegation Chains for Securing Federal Multi-Agent AI Systems

SentinelAgent introduces a formal framework, the Intent-Preserving Delegation Protocol (IPDP), to secure federal multi-agent AI systems by verifying complex delegation chains against seven properties, ensuring robust compliance even when intent verification fails.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIcs.MARecentApr 3, 2026

SentinelAgent: Intent-Verified Delegation Chains for Securing Federal Multi-Agent AI Systems

KrishnaSaiReddy Patil

SentinelAgent introduces a formal framework, the Intent-Preserving Delegation Protocol (IPDP), to secure federal multi-agent AI systems by verifying complex delegation chains against seven properties,…

View →
cs.CRcs.AIRecentApr 1, 2026

RAGShield: Detecting Numerical Claim Manipulation in Government RAG Systems

KrishnaSaiReddy Patil

RAGShield introduces a novel, pattern-based defense system that accurately detects subtle numerical claim manipulation in government RAG systems, overcoming the inherent blind spot of embedding-based…

View →
cs.CRcs.AIRecentMar 30, 2026

CivicShield: A Cross-Domain Defense-in-Depth Framework for Securing Government-Facing AI Chatbots Against Multi-Turn Adversarial Attacks

KrishnaSaiReddy Patil

CivicShield introduces a novel, seven-layered defense-in-depth framework that significantly enhances the security of government-facing AI chatbots against sophisticated multi-turn adversarial attacks.

View →