Yue Wu

FiCoVuL: A Framework for Fine-grained and Cross-function Code Vulnerability Detection

Hongjun Huang, Futai Zou, Jiaping Gui, Haiyang Yu et autres

Detecting vulnerabilities in software development is crucial yet challenging. Deep learning-based approaches have shown promise in automatically learning features for vulnerable function detection. In practice, human analysts need to correlate the behavioral logic of multiple functions to confirm the occurrence of vulnerabilities. …

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MAML-SAMIoT: A cloud-fog computing and MAML-based few-shot IoT intrusion detection model

Yong Zhang, Yue Wu, Shaoyu Zhao, Zhenpeng Liu

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DISTR: Detecting multi-stage IoT botnets through contextual traffic and causal analytics

Jiaping Gui, Futai Zou, Yunbo Li, Yue Wu

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BackdoorMBTI: A Backdoor Learning Multimodal Benchmark Tool Kit for Backdoor Defense Evaluation

Jiaping Gui, Pengyang Wang, Pengzhou Cheng, Ping Yi et autres

Over the past few years, the emergence of backdoor attacks has presented significant challenges to deep learning systems, allowing attackers to insert backdoors into neural networks. When data with a trigger is processed by a backdoor model, it can lead to mispredictions …

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Dictionary Learning-Enabled Privacy Preserving Semantic Communication System

Jingcheng Yang, Shuo Shao, Futai Zou, Yue Wu

For deep learning-enabled semantic communication, existing privacy protection methods only take into account the presence of eavesdropper while ignoring malicious receiver aiming to detect confidential information. Only informationtheoretical security can transmitter defend against malicious receiver. However, private information are always entangled with …

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Sequential Feature-Based Backdoor Detection in Deep Neural Networks Via Few-Shot Learning

于海洋 Yu Haiyang, Hong Fan, Tian Xie, Ping Yi et autres

Few-VulD: A Few-shot learning framework for software vulnerability detection

Tianming Zheng, Haojun Liu, Hang Xu, Xiang Chen et autres

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SlicedLocator: Code vulnerability locator based on sliced dependence graph

Bolun Wu, Futai Zou, Ping Yi, Yue Wu et autres

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FS-IDS: A framework for intrusion detection based on few-shot learning

Jingcheng Yang, Hongwei Li, Shuo Shao, Futai Zou et autres

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Experimental study on prediction of nonlinear system based on causality test

L. Zhang, Geli Wang, Guirong Tan, Yue Wu

The prediction of nonlinear and non-stationary systems is a research topic of great scientific significance. In some recent work the convergent cross mapping (CCM) algorithm is used to detect the causal relationship between variables. In the CCM algorithm, the points close to …