Invigorate
发表于 2025-3-23 10:48:47
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Tractable
发表于 2025-3-23 14:27:42
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PANT
发表于 2025-3-23 19:23:22
Errikos Streviniotis,Athina Georgara,Georgios Chalkiadakis
mighty
发表于 2025-3-24 00:19:36
Zhengchao Jiang,Fan Zhang,Hao Xu,Li Tao,Zili Zhang
吗啡
发表于 2025-3-24 05:38:07
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MILL
发表于 2025-3-24 08:24:22
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发炎
发表于 2025-3-24 11:49:04
A Fine-Grained Approach for Vulnerabilities Discovery Using Augmented Vulnerability Signaturesks of code. We propose a triplet matching algorithm to compare each target code signature as well as all vulnerability signatures to determine whether the target code is vulnerable or not. We compare VCCD with other state-of-the-art clone vulnerability discovery methods on eight popular real-world o
Vo2-Max
发表于 2025-3-24 15:28:56
PPBR-FL: A Privacy-Preserving and Byzantine-Robust Federated Learning Systemvacy protection for the clients and propose a Byzantine-robust aggregation rule named as TPM (Trimmed Padding Mean) to realize robustness. Extensive experiments on two benchmark datasets demonstrate that the TPM outperforms the classical aggregation approaches in terms of robustness and privacy. Whe
gait-cycle
发表于 2025-3-24 20:51:22
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Substance
发表于 2025-3-25 02:02:25
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