SigML: Supervised Log Anomaly with Fully Homomorphic Encryption - researchr publication authors

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Devharsh Trivedi, Aymen Boudguiga, Nikos Triandopoulos. SigML: Supervised Log Anomaly with Fully Homomorphic Encryption. In Shlomi Dolev, Ehud Gudes, Pascal Paillier, editors, Cyber Security, Cryptology, and Machine Learning - 7th International Symposium, CSCML 2023, Be'er Sheva, Israel, June 29-30, 2023, Proceedings. Volume 13914 of Lecture Notes in Computer Science, pages 372-388, Springer, 2023. [doi]

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