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Found 8 papers, 3 papers with code
Neural Network Training on Encrypted Data with TFHE
We present an approach to outsourcing of training neural networks while preserving data confidentiality from malicious parties.
Deep Neural Networks for Encrypted Inference with TFHE
Fully homomorphic encryption (FHE) is an encryption method that allows to perform computation on encrypted data, without decryption.
Privacy-Preserving Tree-Based Inference with TFHE
Privacy enhancing technologies (PETs) have been proposed as a way to protect the privacy of data while still allowing for data analysis.
Active learning for interactive satellite image change detection
We introduce in this paper a novel active learning algorithm for satellite image change detection.
Regularization Shortcomings for Continual Learning
In most machine learning algorithms, training data is assumed to be independent and identically distributed (iid).
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
An important challenge for machine learning is not necessarily finding solutions that work in the real world but rather finding stable algorithms that can learn in real world.
Generative Models from the perspective of Continual Learning
We experiment with sequential tasks on three commonly used benchmarks for Continual Learning (MNIST, Fashion MNIST and CIFAR10).
Marginal Replay vs Conditional Replay for Continual Learning
We present a new replay-based method of continual classification learning that we term "conditional replay" which generates samples and labels together by sampling from a distribution conditioned on the class.
