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cs.CR2026

Selection Integrity for LLM Graph Memory: An Accumulability Criterion for Information-Flow-Blind Retrieval

Zeming Fei, Hongming Fei, Xiaoyang Wang +4

Agent memory is moving to graphs, and the provenance defenses now being built for it all check one thing: the provenance of the records an agent retrieves. We show that this entire…

cs.CR2026

Quantifying Memory Cells Vulnerability for DRAM Security

Zilong Hu, Hongming Fei, Prosanta Gope +3

Dynamic Random Access Memory (DRAM) is pervasive in computer systems. Cell vulnerabilities caused by unintended phenomena (forced retention failure, latency alteration, rowhammer a…

cs.CR2026

Unified Framework for Qualifying Security Boundary of PUFs Against Machine Learning Attacks

Hongming Fei, Zilong Hu, Prosanta Gope +1

Physical Unclonable Functions (PUFs) serve as lightweight, hardware-intrinsic entropy sources widely deployed in IoT security applications. However, delay-based PUFs are vulnerable…

cs.CR2024

PhenoAuth: A Novel PUF-Phenotype-based Authentication Protocol for IoT Devices

Hongming Fei, Owen Millwood, Gope Prosanta +2

Physical Unclonable Functions (PUFs) have been shown to be a highly promising solution for enabling high security systems tailored for low-power devices. Commonly, PUFs are utilise…

cs.CR2024

Attacking Delay-based PUFs with Minimal Adversary Model

Hongming Fei, Owen Millwood, Prosanta Gope +2

Physically Unclonable Functions (PUFs) provide a streamlined solution for lightweight device authentication. Delay-based Arbiter PUFs, with their ease of implementation and vast ch…