Applied Cryptographer @arcium-hq | PhD
Pyfhel. PYthon For Homomorphic Encryption Libraries, perform encrypted computations such as sum, mult, scalar product or matrix multiplication in Python, with NumPy compatibility. Uses SEAL/PALISADE as backends, implemented using Cython.
550VariationalAutoencoders. Comparison of Variational Autoencoders with Bayesian Neural Networks. Accuracy, Latent space, Reconstruction and White Noise filtering.
28funshade. Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.
13DataSciencePortfolio. Data Science portfolio of ipython Notebooks with several Machine Learning algorithms. They follow a structured data science methodology to face various challenges
8SEAL4Pyfhel. Original SEAL homomorphic encryption library, slightly modified to use it as dependency for Pyfhel.
5reparametrization-BN. Reparametrization of Fully Connected and Convolutional layers to completely absorb subsequent Batch Normalization layers. Example using Tensorflow.
5LearningCython. A concise guide for Cython
4AdvancedStatInference. Naive Bayes and Bayesian Linear Regression from scratch, classification of MNIST and CIFAR10 datasets
2knowhow. A series of notebooks, lists, tips and documents covering my knowhow on ML, DS and programming. Migrated to the blog.
2DeepLearning. Deep Neural Networks implemented from scratch. Convolutional Neural Networks (CNN) implemented using Tensowflow.
1PyCrCNN. Privacy-Preserving Convolutional Neural Networks using Homomorphic Encryption
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