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Himanshu Kumar

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#machine learning Preprint Sep 2026

FinRT: Distilling Adaptive Red-Teaming Strategies into Reusable Adversarial Generators in Consumer Finance

In regulated industries like consumer finance, seemingly harmless user queries can exploit large language model vulnerabilities, triggering safety failures and pushing responses dangerously close to policy limits. Existing automated red-teaming methods trade off attack effectiveness against generation cost, while treat...

Rikhiya Ghosh, Himanshu Kumar, Sriram Venkatapathy et al. · 0 citations
Preprint Aug 2026

Workspace Topology as an Attack Vector in Agentic Coding Assistants

It is found that workspace topology measurably affects IPI success, and changes in codebase modularity can significantly alter the Attack Success Rate (ASR), with highly modular environments demonstrating significantly lower attack success rates.

A. R. Day, Pradeep Yadlapalli, Sriram Venkatapathy et al. · 0 citations

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