Machine Learning
Blog Posts
Software Engineering for Machine Learning: Characterizing and Detecting Mismatch in Machine-Learning Systems
This post describes how we are creating and assessing empirically validated practices to guide the development of machine-learning-enabled systems.
• By Grace Lewis, Ipek Ozkaya
In Artificial Intelligence Engineering
Aligning DevSecOps and Machine Learning
Luiz Antunes explores the machine learning (ML) and DevSecOps domains and proposes ways to use them in collaboration for increased performance.
• By Luiz Antunes
In DevSecOps
Data-Driven Management of Technical Debt
Technical debt communicates the tradeoff between the short-term benefits of rapid delivery and the long-term value of developing a software system that is easy to evolve, modify, repair, and sustain. …
• By Ipek Ozkaya
In Artificial Intelligence Engineering
Machine Learning in Cybersecurity
Our technical report provides an overview of the relevant parts of an ML lifecycle--selecting the right problem, the right data, and the right math and summarizing the model output for …
• By Jonathan Spring
In CERT/CC Vulnerabilities
The Vectors of Code: On Machine Learning for Software
This blog post provides a light technical introduction on machine learning (ML) for problems of computer code, such as detecting malicious executables or vulnerabilities in source code....
• By Zachary Kurtz
In Artificial Intelligence Engineering
Deep Learning and Satellite Imagery: DIUx Xview Challenge
In 2017 and 2018, the United States witnessed a milestone year of climate and weather-related disasters from droughts and wildfires to cyclones and hurricanes....
• By Ritwik Gupta
In Artificial Intelligence Engineering
Improving Assessments for Cybersecurity Training
The CERT Cyber Workforce Development Directorate conducts training in cyber operations for the DoD and other government customers as part of its commitment to strengthen the nation's cybersecurity workforce....
• By April Galyardt
In Artificial Intelligence Engineering
Translating Between Statistics and Machine Learning
Statistics and machine learning often use different terminology for similar concepts. I recently confronted this when I began reading about maximum causal entropy as part of a project on inverse …
• By Zachary Kurtz
In Artificial Intelligence Engineering
Deep Learning: Going Deeper toward Meaningful Patterns in Complex Data
In a previous blog post, we addressed how machine learning is becoming ever more useful in cybersecurity and introduced some basic terms, techniques, and workflows that are essential for those …
• By Carson Sestili
In Artificial Intelligence Engineering
