Titlebook: Information Security and Cryptology; 19th International C Chunpeng Ge,Moti Yung Conference proceedings 2024 The Editor(s) (if applicable) a

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书目名称Information Security and Cryptology影响因子(影响力)




书目名称Information Security and Cryptology影响因子(影响力)学科排名




书目名称Information Security and Cryptology网络公开度




书目名称Information Security and Cryptology网络公开度学科排名




书目名称Information Security and Cryptology被引频次




书目名称Information Security and Cryptology被引频次学科排名




书目名称Information Security and Cryptology年度引用




书目名称Information Security and Cryptology年度引用学科排名




书目名称Information Security and Cryptology读者反馈




书目名称Information Security and Cryptology读者反馈学科排名

珊瑚

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EVFLR: Efficient Vertical Federated Logistic Regression Based on Batch Operations an increasingly important role in federated learning. This paper discusses vertical federated logistic regression (VFLR), one of the most popular VFL models. In existing VFLR solutions, homomorphic encryption (HE) is widely used to guarantee privacy. However, HE also entails huge communication and

细胞膜

Clustered Federated Learning with Inference Hash Codes Based Local Sensitive Hashing FL training process, the statistical heterogeneity between different clients can compromise the overall performance of the global model and its generalization ability on each client, making it difficult for the training process to converge. This paper proposes an efficient clustered FL (cFL) method

ENACT

TIA: Token Importance Transferable Attack on Vision Transformersto transfer-based attacks, in which attackers can use a local surrogate model to generate adversarial examples, then transfer these malicious examples to attack the target black-box ViT directly. Suffering from the threat of transfer-based attacks, it is challenging to deploy ViTs to security-critic

EXPEL

Hardware Acceleration of NTT-Based Polynomial Multiplication in CRYSTALS-Kyberhallenges due to complex and time-consuming polynomial multiplication, which can be accelerated using number-theoretic transform (NTT). In this work, we propose a novel approach of hardware acceleration for NTT-based polynomial multiplication in CRYSTALS-Kyber on FPGA. Our approach leverages pipelin

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潜伏期