Search Results for author: Paweł Morawiecki

Found 5 papers, 2 papers with code

Continual Learning with Guarantees via Weight Interval Constraints

1 code implementation16 Jun 2022 Maciej Wołczyk, Karol J. Piczak, Bartosz Wójcik, Łukasz Pustelnik, Paweł Morawiecki, Jacek Tabor, Tomasz Trzciński, Przemysław Spurek

We introduce a new training paradigm that enforces interval constraints on neural network parameter space to control forgetting.

Continual Learning

Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models

1 code implementation3 Jun 2019 Paweł Morawiecki, Przemysław Spurek, Marek Śmieja, Jacek Tabor

We present an efficient technique, which allows to train classification networks which are verifiably robust against norm-bounded adversarial attacks.

Adversarial Examples Detection and Analysis with Layer-wise Autoencoders

no code implementations17 Jun 2020 Bartosz Wójcik, Paweł Morawiecki, Marek Śmieja, Tomasz Krzyżek, Przemysław Spurek, Jacek Tabor

We present a mechanism for detecting adversarial examples based on data representations taken from the hidden layers of the target network.

Hebbian Continual Representation Learning

no code implementations28 Jun 2022 Paweł Morawiecki, Andrii Krutsylo, Maciej Wołczyk, Marek Śmieja

Although this setting is natural for biological systems, it proves very difficult for machine learning models such as artificial neural networks.

BIG-bench Machine Learning Class Incremental Learning +2

Towards More Realistic Membership Inference Attacks on Large Diffusion Models

no code implementations22 Jun 2023 Jan Dubiński, Antoni Kowalczuk, Stanisław Pawlak, Przemysław Rokita, Tomasz Trzciński, Paweł Morawiecki

In this paper, we examine whether it is possible to determine if a specific image was used in the training set, a problem known in the cybersecurity community and referred to as a membership inference attack.

Inference Attack Membership Inference Attack

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