Author

Ali Shiri Sichani

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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

#machine learning Preprint Oct 2026

Where Quantum Fourier Sampling Stops Short: A Three-Gate Audit Protocol for Delay-PUF Security Models

Quantum Fourier sampling may help audit the spectral learnability of delay-based physical unclonable functions (PUFs). We ask whether that promise survives access matching, a strong classical comparator, and oracle synthesis. Three gates structure the evaluation. Structure: low degree is not small support at reachable...

Owen Friedewald, Ali Shiri Sichani, Chi-Ren Shyu · 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. · International Conferences on... · 0 citations