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Articles

Hardening Tree Ensembles : Real-Time and Effective Evasion Defences Beyond Adversarial Re-Training

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By Simin Nadjm-Tehrani, Mikael Asplund, György Dán, Linköpings universitet
| avhandlingar.se
Nyckelord: NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Sammanfattning: Tree ensembles like random forests and gradient boosting machines are widely used machine learning (ML) models, often outperforming advanced techniques like deep neural networks on structured tabular data tasks.
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The Dark Side of Flexibility: How Aggregated Cyberattacks Threaten the Power Grid

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By Zeeshan Afzal, Mikael Asplund
| arxiv.org
arXiv:2511.17748 (cs) View PDF HTML (experimental) Comments: Subjects: Cryptography and Security (cs.CR) Cite as: arXiv:2511.17748 [cs.CR] (or arXiv:2511.17748v1 [cs.CR] for this version) https://doi.org/10.48550/arXiv.2511.17748 Submission history From: Zeeshan Afzal [ view email] [v1] Fri, 21 Nov 2025 19:59:45 UTC (1,191 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps...
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Trustworthy Software States through Attestation and Secure Updates

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By Mikael Asplund, Simin Nadjm-Tehrani, Linköpings universitet, Edlira Dushku
| avhandlingar.se
Nyckelord: NATURVETENSKAP; NATURAL SCIENCES; Sammanfattning: Computing systems are widespread in modern society, ranging from everyday personal devices to critical infrastructures such as embedded systems, industrial control systems, cloud servers, and IoT devices. Given this widespread integration, it is essential to check the state of these software systems to promptly detect malicious activities or failures that could undermine their security and functionality.
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