Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains

Research article (Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023) · cited 16× · AI/ML
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Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains

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Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains. Retrieved May 24, 2026, from https://4ort.xyz/entity/learning-from-limited-heterogeneous-training-data-meta-learning-for-unsupervised-zero-day-web-attack-detection-across-we
MLA “Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/learning-from-limited-heterogeneous-training-data-meta-learning-for-unsupervised-zero-day-web-attack-detection-across-we.
BibTeX @misc{4ortxyz_learning-from-limited-heterogeneous-training-data-meta-learning-for-unsupervised-zero-day-web-attack-detection-across-we_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Learning from Limited Heterogeneous Training Data: Meta-Learning for Unsupervised Zero-Day Web Attack Detection across Web Domains}}, year = {2026}, url = {https://4ort.xyz/entity/learning-from-limited-heterogeneous-training-data-meta-learning-for-unsupervised-zero-day-web-attack-detection-across-we}, note = {Accessed: 2026-05-24}}
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