The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection
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Updated
Jan 16, 2021 - Python
The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection
Min-Entropy Latent Model for Weakly Supervised Object Detection
Data and code to design and evaluate the PLL-based true random number generator according to the paper "Enhancing Quality and Security of the PLL-TRNG" (published and awarded at TCHES 2023).
Code repository for "Machine Learning Predictors for Min-Entropy Estimation" (arXiv:2406.19983). Implements RCNN and GPT-2 models for entropy prediction in RNGs, with data generation, training pipelines, and analysis scripts.
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