Author

A. R. Day

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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

#artificial intelligence Preprint Sep 2026

QUARTET: Quad-branch cross-Attention and Random-walk Traces for Enhancing Transformers on Relational Graphs

QUARTET is an expressive graph transformer architecture that applies full self-attention on local subgraphs while enriching global context through cross-attention branches, and consistently matches or outperforms the current state-of-the-art graph transformer baselines (HGT and RelGT).

K. Myint, Nan Jiang, Xiang Li 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