Titlebook: Machine Learning and Principles and Practice of Knowledge Discovery in Databases; International Worksh Michael Kamp,Irena Koprinska,Guilher

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Practical Black Box Model Inversion Attacks Against Neural Netsicular type of adversarial machine learning attack where an adversary attempts to reconstruct the target model’s private training data. Specifically, given black box access to a target classifier, the attacker aims to recreate a particular class sample with just the ability to query the model. Tradi

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NBcoded: Network Attack Classifiers Based on?Encoder and?Naive Bayes Model for?Resource Limited Devich in a system, application, or network, can cause huge damage for the companies. However, when this attack detection encounters the Artificial Intelligence paradigm, it can be addressed using high-quality classifiers which often need high resource demands in terms of computation or memory usage. Th

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Metamorphic Malware Behavior Analysis Using Sequential Pattern Mining properly reflect the actions of portable executable (PE) files. In this paper, we provide an approach based on sequential pattern mining (SPM) for the analysis of malware behavior during executions. A dataset that contains sequences of API calls made by different malware on Windows OS is first abst

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Applying Machine Learning to Risk Assessment in Software Projectse followed to increase the chances of project success. The popularity of research regarding the application of risk management in software projects has been consistently growing in recent years, especially with the application of machine learning techniques to help identify risk levels of risk facto

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SampleFix: Learning to?Generate Functionally Diverse Fixesrectness of software in general. Recent advances in machine learning, deep learning, and NLP have rekindled the hope to eventually fully automate the process of repairing programs. However, previous approaches that aim to predict a single fix are prone to fail due to uncertainty about the true inten

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Linguistic Analysis of?Stack Overflow Data: Native English vs Non-native English Speakersspeakers can adapt to the rigors of software engineering projects because of their familiarity with the language in code development and communications related to software development. We analyze the communications related to software collaboration using linguistic features. We mine data from online

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