Sotirios A. Tsaftaris
5 papers in the PaperMetrix corpus
Papers by this author
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Supporting Autonomic Management of Clouds: Service Clustering With Random Forest
2016 · IEEE Transactions on Network and Service Management
A promising solution for the management of services in clouds, as fostered by autonomic computing, is to resort to self-management. However, the obfuscation of underlying details of services in cloud computing, also due to privacy …
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Re-using Adversarial Mask Discriminators for Test-time Training under Distribution Shifts
2022 · The Journal of Machine Learning for Biomedical Imaging
Thanks to their ability to learn flexible data-driven losses, Generative Adversarial Networks (GANs) are an integral part of many semi- and weakly-supervised methods for medical image segmentation. GANs jointly optimise a generator and an adversarial …
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Survey: Leakage and Privacy at Inference Time
2021 · arXiv (Cornell University)
Leakage of data from publicly available Machine Learning (ML) models is an area of growing significance as commercial and government applications of ML can draw on multiple sources of data, potentially including users' and clients' …
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Rethinking Chronological Causal Discovery with Signal Processing
2025
Causal discovery problems use a set of observations to deduce causality between variables in the real world, typically to answer questions about biological or physical systems. These observations are often recorded at regular time intervals, …
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Identifiable Estimation of Causal Concept Effects under Visual Latent Confounding
2026 · Edinburgh Research Explorer (University of Edinburgh)
Estimating the causal effect of human-interpretable visual concepts on outcomes<br/>is essential for auditing classifiers and assessing bias in image datasets. However, existing estimators typically assume unconfoundedness, a condition rarely met in practice, as concept annotations …