Machine Learning for Network Attacks Classification and Statistical Evaluation of Machine Learning for Network Attacks Classification and Adversarial Learning Methodologies for Synthetic Data Generation

Authors: Iakovos-Christos Zarkadis, Christos Douligeris | Published: 2026-03-18
2026.03.18
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rSDNet: Unified Robust Neural Learning against Label Noise and Adversarial Attacks

Authors: Suryasis Jana, Abhik Ghosh | Published: 2026-03-18
2026.03.18
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DDH-based schemes for multi-party Function Secret Sharing

Authors: Marc Damie, Florian Hahn, Andreas Peter, Jan Ramon | Published: 2026-03-18
2026.03.18
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Caging the Agents: A Zero Trust Security Architecture for Autonomous AI in Healthcare

Authors: Saikat Maiti | Published: 2026-03-18
2026.03.18
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Federated Computing as Code (FCaC): Sovereignty-aware Systems by Design

Authors: Enzo Fenoglio, Philip Treleaven | Published: 2026-03-18
2026.03.18
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Network- and Device-Level Cyber Deception for Contested Environments Using RL and LLMs

Authors: Abhijeet Sahu, Shuva Paul, Rochard Macwan | Published: 2026-03-18
2026.03.18
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Deanonymizing Bitcoin Transactions via Network Traffic Analysis with Semi-supervised Learning

Authors: Shihan Zhang, Bing Han, Chuanyong Tian, Ruisheng Shi, Lina Lan, Qin Wang | Published: 2026-03-18
2026.03.18
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SAMSEM — A Generic and Scalable Approach for IC Metal Line Segmentation

Authors: Christian Gehrmann, Jonas Ricker, Simon Damm, Deruo Cheng, Julian Speith, Yiqiong Shi, Asja Fischer, Christof Paar | Published: 2026-03-17
2026.03.17
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Rotated Robustness: A Training-Free Defense against Bit-Flip Attacks on Large Language Models

Authors: Deng Liu, Song Chen | Published: 2026-03-17
2026.03.17
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Resource Consumption Threats in Large Language Models

Authors: Yuanhe Zhang, Xinyue Wang, Zhican Chen, Weiliu Wang, Zilu Zhang, Zhengshuo Gong, Zhenhong Zhou, Li Sun, Yang Liu, Sen Su | Published: 2026-03-17
2026.03.17
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