19 citations · 31 across the 5 of their papers we have counts for
7 papers
Privacy-Preserving Tree-Based Inference with TFHE
Jordan Frery, Andrei Stoian, Roman Bredehoft +4
Privacy enhancing technologies (PETs) have been proposed as a way to protect the privacy of data while still allowing for data analysis. In this work, we focus on Fully Homomorphic…
Deep Neural Networks for Encrypted Inference with TFHE
Andrei Stoian, Jordan Frery, Roman Bredehoft +3
Fully homomorphic encryption (FHE) is an encryption method that allows to perform computation on encrypted data, without decryption. FHE preserves the privacy of the users of onlin…
Active learning for interactive satellite image change detection
Hichem Sahbi, Sebastien Deschamps, Andrei Stoian
We introduce in this paper a novel active learning algorithm for satellite image change detection. The proposed solution is interactive and based on a question and answer model, wh…
Regularization Shortcomings for Continual Learning
Timothée Lesort, Andrei Stoian, David Filliat
In most machine learning algorithms, training data is assumed to be independent and identically distributed (iid). When it is not the case, the algorithm's performances are challen…
Continual Learning for Robotics: Definition, Framework, Learning Strategies, Opportunities and Challenges
Timothée Lesort, Vincenzo Lomonaco, Andrei Stoian +3
Continual learning (CL) is a particular machine learning paradigm where the data distribution and learning objective changes through time, or where all the training data and object…
Generative Models from the perspective of Continual Learning
Timothée Lesort, Hugo Caselles-Dupré, Michael Garcia-Ortiz +2
Which generative model is the most suitable for Continual Learning? This paper aims at evaluating and comparing generative models on disjoint sequential image generation tasks. We…
Marginal Replay vs Conditional Replay for Continual Learning
Timothée Lesort, Alexander Gepperth, Andrei Stoian +1
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 distribut…