Titlebook: Knowledge Science, Engineering and Management; 15th International C Gerard Memmi,Baijian Yang,Meikang Qiu Conference proceedings 2022 The E

Invigorate

Tractable

PANT

Errikos Streviniotis,Athina Georgara,Georgios Chalkiadakis

mighty

Zhengchao Jiang,Fan Zhang,Hao Xu,Li Tao,Zili Zhang

吗啡

MILL

发炎

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

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

Substance