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Srikar Alla

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#machine learning Preprint Oct 2026

When Normalization Selects the Sign: Auditing Robustness Ablations in Quantum Attention

Removing an input-scaling module changes both a classifier and the perturbations reaching its encoder. A robustness difference can therefore reflect the comparison rule as well as the module. We demonstrate this problem in a four-qubit quantum-attention detector on generated power-grid trajectories. A learned scaling m...

Owen Friedewald, Srikar Alla, Ali Shiri Sichani et al. · 0 citations
Conference Jul 2026

ALTR: Adaptive Defense Framework Against Adversarial LLM Threats in Critical-Domain Applications

The fast deployment of large language models (LLMs) in critical-domain applications such as financial systems has introduced new types of security vulnerabilities (e.g., adversarial prompt injections, semantic obfuscation, and multi-stage social engineering attacks) that conventional countermeasures cannot typically ha...

Vani Seth, Srikar Alla, Sd Md Abidar Rahman et al. · 0 citations

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