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cs.CR2025
Can Transformer Memory Be Corrupted? Investigating Cache-Side Vulnerabilities in Large Language Models
Elias Hossain, Swayamjit Saha, Somshubhra Roy +1
Even when prompts and parameters are secured, transformer language models remain vulnerable because their key-value (KV) cache during inference constitutes an overlooked attack sur…
cs.CL2025
Knowledge-Aware Self-Correction in Language Models via Structured Memory Graphs
Swayamjit Saha
Large Language Models (LLMs) are powerful yet prone to generating factual errors, commonly referred to as hallucinations. We present a lightweight, interpretable framework for know…