What's New at Pfeiffer Library?

Intro -- Preface -- Organization -- Contents -- Artificial Intelligence for Cybersecurity -- Cross-Domain Recommendation System Based on Tensor Decomposition for Cybersecurity Data Analytics -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Problems and Definitions -- 3.1 The Concept of Tensor -- 3.2 Tensor Decomposition -- 3.3 Recommendation with HOSVD -- 3.4 Cross-Domain Recommendation -- 3.5 Transfer Learning -- 4 Cross-Domain with Tensor Decomposition -- 4.1 Extract Rating Mode -- 4.2 Transfer Rating Model -- 5 Experiments -- 5.1 Dataset -- 5.2 Experimental Results -- 6 Conclusions. 4 Experiments and Results -- 4.1 Datasets and Evaluation Measures -- 4.2 Parameter Settings -- 4.3 Results and Analysis -- 5 Conclusion -- A Performance Comparison Between Deep Cascade Forest and Other Classifiers -- B Parameters of LSTM in our Experiment -- References -- Multiplex PageRank in Multilayer Networks Considering Shunt -- Abstract -- 1 Introduction -- 2 Discussion -- 3 Simulations -- 4 Conclusions -- References -- Machine Learning for Cybersecurity -- LogGAN: A Sequence-Based Generative Adversarial Network for Anomaly Detection Based on System Logs -- 1 Introduction -- 2 Related Work. 2.1 Supervised Anomaly Detection -- 2.2 Semi-supervised Anomaly Detection -- 2.3 Unsupervised Anomaly Detection -- 3 Method -- 3.1 Log Parser -- 3.2 Adversarial Learning -- 3.3 Anomaly Detection -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Result and Discussion -- 5 Conclusion -- References -- Security Comparison of Machine Learning Models Facing Different Attack Targets -- 1 Introduction -- 2 Related Work -- 3 Preliminary -- 3.1 Relevant Machine Learning Models -- 3.2 Adversarial Attack -- 3.3 Security Evaluation -- 4 Attack on Test Data -- 4.1 Background and Settings. 4.2 Experiments and Results -- 5 Attack on Train Data -- 5.1 Background and Settings -- 5.2 Experiments and Results -- 6 Attack on Model Parameters -- 6.1 With Complete Authority -- 6.2 With Part of Authority and Perfect Knowledge -- 6.3 With Part of Authority and Limited Knowledge -- 7 Conclusion -- References -- Adversarial Training Based Feature Selection -- Abstract -- 1 Introduction -- 2 Framework of Adversarial Training-Based Feature Selection -- 2.1 Objective Functions in Adversarial Training -- 2.2 Optimization Method -- 2.3 Adversarial Training Based Feature Selection.

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