How to Achieve Sensitive Data Unlearning for Machine Learning Models?

As machine learning is increasingly used in data analysis in cybersecurity, there is a risk of privacy disclosure to some extent if models inadvertently capture sensitive information from training data. Since training data will exist in the model parameters for a long time, it is possible to directly output training...

Machine Learning Algorithms Power Security Threat Reasoning and Analysis

RSA Conference 2019, an annual infosec event that brings all cybersecurity professionals together, kicked off in San Francisco, USA on March 4, 2019. This year's Conference took "Better" as its theme, which reflected infosec players' visions to constantly improve their own capabilities and work out better security solutions. (more…)

Practices of China’s Internet Giants in Machine Learning

At RSA Conference 2019, Tao Zhou, a senior staff algorithm engineer from Alibaba Security, Alibaba Group, as one of only a few Chinese speakers, started his presentation on application of statistical learning to intrusion detection in the context of massive big data with an account of challenges facing Internet giants...

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