Another important factor in machine learning security is model visibility. When you use a machine learning model that is published online, say on GitHub, you’re using a “white box” model.

Similarly, machine learning has become indispensable in the fights against spam and phishing. Elie Bursztein, who leads the anti-abuse research team at Google, notes that Gmail has used machine ...

Machine learning algorithms can help strengthen the security on every mobile device, making them suitable as employees’ IDs, alleviating the need for easily-hackable passwords.

Security, however, is not all doom and gloom. Innovation is the key to truly connected security. Machine learning can augment our firewalls and include behavior intrusion detection and prevention with ...

Machine learning is a critical tool in new security architecture. The shift to cloud networks and a wider attack surface brought about by new working practices during the COVID-19 pandemic have made ...

Cloud-native systems were supposed to make everything faster and more secure. Instead, many organizations find themselves ...

Another research paper, "Unlocking SIEM Potential: Secure, Scalable Cloud Architecture with Artificial Intelligence Machine Learning," delves into the transformative impact of integrating AI and ...

Armv9 offers three major improvements over the previous architecture: security, ... (SVE2), a technology that is designed to help with machine learning and digital signal processing tasks.

Many recommendations have been offered to mitigate the dangerous effects of adversarial machine learning in military settings. Keeping humans in or on the loop is essential in such situations. When ...

A new computing architecture enables advanced machine-learning computations to be performed on a low-power, memory-constrained edge device. The technique may enable self-driving cars to make ...