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Master's thesis - Hacking the privacy amplification of quantum key distribution with machine learning, and countermeasures

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João Bravo - Extended abstract - Hacking the privacy amplification of QKD with machine learning, and countermeasures.pdf
João Bravo - Extended abstract - Hacking the privacy amplification of QKD with machine learning, and countermeasures.pdf
 
 
João Bravo - Master's thesis - Hacking the privacy amplification of QKD with machine learning, and countermeasures.pdf
João Bravo - Master's thesis - Hacking the privacy amplification of QKD with machine learning, and countermeasures.pdf
 
 
NB01_More_1s_than_0s_-_Total_Nr_of_Operations.ipynb
NB01_More_1s_than_0s_-_Total_Nr_of_Operations.ipynb
 
 
NB02_More_1s_than_0s_-_Nr_of_Operations_per_Row.ipynb
NB02_More_1s_than_0s_-_Nr_of_Operations_per_Row.ipynb
 
 
NB03_More_1s_than_0s_-_Total_Power.ipynb
NB03_More_1s_than_0s_-_Total_Power.ipynb
 
 
NB04_More_1s_than_0s_-_Power_per_Row.ipynb
NB04_More_1s_than_0s_-_Power_per_Row.ipynb
 
 
NB05_More_1s_than_0s_-_Power_per_Operation.ipynb
NB05_More_1s_than_0s_-_Power_per_Operation.ipynb
 
 
NB06_More_1s_than_0s_-_Noisy_Power_per_Operation.ipynb
NB06_More_1s_than_0s_-_Noisy_Power_per_Operation.ipynb
 
 
NB07_More_1s_than_0s_-_Noisy_Power_per_Gate.ipynb
NB07_More_1s_than_0s_-_Noisy_Power_per_Gate.ipynb
 
 
NB08_More_1s_than_0s_-_Low_Sampling_Noisy_Power_per_Gate.ipynb
NB08_More_1s_than_0s_-_Low_Sampling_Noisy_Power_per_Gate.ipynb
 
 
NB09_Full_Solution_-_Low_Sampling_Noisy_Power_per_Gate.ipynb
NB09_Full_Solution_-_Low_Sampling_Noisy_Power_per_Gate.ipynb
 
 
NB10_Row_by_row_-_Low_Sampling_Noisy_Power_per_Gate.ipynb
NB10_Row_by_row_-_Low_Sampling_Noisy_Power_per_Gate.ipynb
 
 
NB11_More_1s_than_0s_-_Low_Sampling_Noisy_Power_per_Gate_-_Final.ipynb
NB11_More_1s_than_0s_-_Low_Sampling_Noisy_Power_per_Gate_-_Final.ipynb
 
 
NB12_Full_Solution_-_Low_Sampling_Noisy_Power_per_Gate_-_Final.ipynb
NB12_Full_Solution_-_Low_Sampling_Noisy_Power_per_Gate_-_Final.ipynb
 
 
NB13_Row_by_row_-_Low_Sampling_Noisy_Power_per_Gate_-_Final.ipynb
NB13_Row_by_row_-_Low_Sampling_Noisy_Power_per_Gate_-_Final.ipynb
 
 
NB14_More_1s_than_0s_-_Low_Sampling_Noisy_Power_per_Gate_-_Toeplitz.ipynb
NB14_More_1s_than_0s_-_Low_Sampling_Noisy_Power_per_Gate_-_Toeplitz.ipynb
 
 
NB15_Full_Solution_-_Low_Sampling_Noisy_Power_per_Gate_-_Toeplitz.ipynb
NB15_Full_Solution_-_Low_Sampling_Noisy_Power_per_Gate_-_Toeplitz.ipynb
 
 
NB16_Row_by_row_-_Low_Sampling_Noisy_Power_per_Gate_-_Toeplitz.ipynb
NB16_Row_by_row_-_Low_Sampling_Noisy_Power_per_Gate_-_Toeplitz.ipynb
 
 
NB17_Plots.ipynb
NB17_Plots.ipynb
 
 
README.md
README.md
 
 
model_selection_ASHA.py
model_selection_ASHA.py
 
 

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Master's thesis - Hacking the privacy amplification of quantum key distribution with machine learning, and countermeasures

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machine-learning privacy quantum supervised-learning quantum-information power-consumption side-channel side-channel-attacks quantum-key-distribution

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