Membership-Mappings for Practical Secure Distributed Deep Learning
Paper
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2204.05765
•
Published
Lukas Fischer
lukfischer
·
AI & ML interests
Machine Learning, Deep Learning, LSTM/xLSTM, Generative Models (e.g. GANs, VAEs, AEs), Contrastive Learning, Transformers, Computer Vision, especially on medical data (e.g. segmentation, registration, classification, and tracking), Transfer Learning, Privacy Preserving Learning aspects
Organizations
authored
5
papers
3 months ago
Information Theoretic Evaluation of Privacy-Leakage, Interpretability, and Transferability for Trustworthy AI
Paper
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2106.06046
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Published
Membership-Mappings for Data Representation Learning: Measure Theoretic Conceptualization
Paper
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2104.07060
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Published
Deep Learning architectures for generalized immunofluorescence based nuclear image segmentation
Paper
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1907.12975
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Published
Deep SNP: An End-to-end Deep Neural Network with Attention-based Localization for Break-point Detection in SNP Array Genomic data
Paper
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1806.08840
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Published