How to Achieve Sensitive Data Unlearning for Machine Learning Models?
August 11, 2023
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 samples if some data with […]
Machine Learning Algorithms Power Security Threat Reasoning and Analysis
May 21, 2019
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
May 20, 2019
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 in security data analysis, and […]
New Words at RSA: Machine Learning Abuse, XAI, Election Security, and CISA
May 13, 2019
The RSA Conference is the world’s biggest IT security meetings of the highest quality. Initially as a small cryptography forum set up in 1991, this conference has developed into a meeting at which renowned security experts from all around the world are invited to discuss the future cyberspace development and global security vendors are attracted to showcase their information security products. (more…)
