Authors

Bita Aslrousta

Publications 2

Preprint Open access

CACHEFORGE: LLM-Guided End-to-End Generative Cache Replacement Policy for Performance and Hardware Efficiency

Kaushal Mhapsekar, Bita Aslrousta, Brijesh Kumar Bhayana et al. · 2026

Modern cache replacement designs saturate because they operate within fixed representational structures, hand-crafted and heuristic based feature-engineered predictors, or offline imitation models that cannot generate new decision logic on their own. At the same time, replacement is shaped by the causal interaction of …

Preprint Open access

TranScope: What the Software Hides About LLM Training Data, the Hardware Reveals at Scale, and Accelerators Magnify

Joshua Kalyanapu, Darsh Asher, Kaushal Mhapsekar et al. · 2026

Membership is the root privacy primitive in machine learning: to date, no hardware-based out-of-distribution detection on black-box models has been demonstrated against constant-time, static neural networks with masked confidence. This paper performs the first cycle-level examination of how large language models and vi …

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