Abstract: Large-scale models trained on extensive datasets, have emerged as the preferred approach due to their high generalizability across various tasks. In-context learning (ICL), a popular ...
Abstract: Random Telegraph Noise (RTN) is an intriguing entropy source that can be exploited to develop lightweight cryptographic primitives. Its utility in Physical Unclonable Functions (PUFs) has ...
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