How to label data that should not affect model training (e.g., important only for humans)?
When preparing datasets for supervised machine learning tasks on the Google Cloud AI Platform, it is common to encounter metadata or annotations that serve informational or organizational purposes for human users but are not intended to influence the training process of a machine learning model. Properly managing these data points is important to prevent unintentional
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Google Cloud AI Platform, Cloud AI Data labeling service
What are the potential risks and impacts associated with the Heartbleed vulnerability?
The Heartbleed vulnerability is a critical security flaw that was discovered in April 2014. It affects the OpenSSL cryptographic software library, which is widely used to secure communication on the internet. This vulnerability allows an attacker to exploit a flaw in the implementation of the Transport Layer Security (TLS) protocol, potentially compromising the confidentiality of
- Published in Cybersecurity, EITC/IS/WAPT Web Applications Penetration Testing, Web attacks practice, Heartbleed Exploit - discovery and exploitation, Examination review