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Automated Side-Channel Attacks using Black-Box Neural Architecture Search.

, , and . ARES, page 5:1-5:11. ACM, (2023)

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Learning context-dependent choice functions., , , and . Int. J. Approx. Reason., (2022)Automated Information Leakage Detection: A New Method Combining Machine Learning and Hypothesis Testing with an Application to Side-channel Detection in Cryptographic Protocols., , , , , and . ICAART (2), page 152-163. SCITEPRESS, (2022)Meta-Learning for Automated Selection of Anomaly Detectors for Semi-Supervised Datasets., , and . CoRR, (2022)Information Leakage Detection through Approximate Bayes-optimal Prediction., , and . CoRR, (2024)Learning Choice Functions., , and . CoRR, (2019)Deep architectures for learning context-dependent ranking functions., , and . CoRR, (2018)Automated Detection of Side Channels in Cryptographic Protocols: DROWN the ROBOTs!, , , , , , , and . AISec@CCS, page 169-180. ACM, (2021)Meta-learning for Automated Selection of Anomaly Detectors for Semi-supervised Datasets., , and . IDA, volume 13876 of Lecture Notes in Computer Science, page 392-405. Springer, (2023)Automated Side-Channel Attacks using Black-Box Neural Architecture Search., , and . ARES, page 5:1-5:11. ACM, (2023)Anwendung von maschinellem Lernen zum automatischen Erkennen von Padding-Orakel-Seitenkanälen., , , and . Softwaretechnik-Trends, 43 (3): 15-17 (August 2023)