Malcontent
发表于 2025-3-26 23:31:16
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克制
发表于 2025-3-27 03:00:02
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BIBLE
发表于 2025-3-27 07:30:19
Alfred Kiesertions. First, we show an IND-secure generic functional encryption scheme against adaptive adversary for quadratic functions from standard assumptions. Second, we show how to build a functional encryption scheme for cubic functions (the first in the literature in public-key setting) from a functional
制度
发表于 2025-3-27 12:04:27
Ludwig Theuvseng malicious data based on the original training dataset. We evaluate our models with a dataset of over 30,000 samples obtained from top popular websites, PhishTank, and GitHub. The experimental result shows that the best f1-score achieves at 0.99 with the MLP classifier.
Hearten
发表于 2025-3-27 13:44:34
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CLAMP
发表于 2025-3-27 19:42:02
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斜
发表于 2025-3-28 01:35:09
Edda Pulstg malicious data based on the original training dataset. We evaluate our models with a dataset of over 30,000 samples obtained from top popular websites, PhishTank, and GitHub. The experimental result shows that the best f1-score achieves at 0.99 with the MLP classifier.
疲惫的老马
发表于 2025-3-28 03:20:01
he . nearest-neighbor algorithm may not contribute to the performance improvement of Stern’s ISD algorithm over . with .. In this paper, we will extend the ., and .’s ISD using the . algorithm for Nearest-Neighbor problem over . with . an arbitrary prime power. We analyze the impact of May-Ozerov al
传授知识
发表于 2025-3-28 07:49:38
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HERTZ
发表于 2025-3-28 14:07:14
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