Autonomy and Counter-Autonomy
Blog Posts
Adversarial ML Threat Matrix: Adversarial Tactics, Techniques, and Common Knowledge of Machine Learning
My colleagues, Nathan VanHoudnos, April Galyardt, Allen Householder, and I would like you to know that today Microsoft and MITRE are releasing their Adversarial Machine Learning Threat Matrix. This is …
• By Jonathan Spring
In CERT/CC Vulnerabilities
Comments on NIST IR 8269: A Taxonomy and Terminology of Adversarial Machine Learning
The U.S. National Institute of Standards and Technology (NIST) recently held a public comment period on their draft report on proposed taxonomy and terminology of Adversarial Machine Learning (AML)....
• By Jonathan Spring
In CERT/CC Vulnerabilities
Deep Learning, Agile-DevOps, and Cloud Security: The Top 10 Blog Posts of 2018
Every January on the SEI Blog, we present the 10 most-visited posts of the previous year. This year's top 10, which features posts published between January 1, 2018, and December …
• By Douglas C. Schmidt
In Cloud Computing
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
Virtual Integration, Blockchain Programming, and Agile/DevOps: The Latest Work from the SEI
As part of an ongoing effort to keep you informed about our latest work, this blog post summarizes some recently published SEI reports, podcasts, and presentations highlighting our work in …
• By Douglas C. Schmidt
Implications and Mitigation Strategies for the Loss of End-Entity Private Keys
When a private key in a public-key infrastructure (PKI) environment is lost or stolen, compromised end-entity certificates can be used to impersonate a principal that is associated with it....
• By Aaron Reffett, Thomas Scanlon
Bitcoin, Blockchain, Machine Learning, and Ransomware: The Top 10 Posts of 2017
Each year since the blog's inception, we present the 10 most-visited posts of the year in descending order ending with the most popular post. In this blog post, we present …
• By Douglas C. Schmidt
Inference of Memory Bounds: Preventing the Next Heartbleed
Invalid memory accesses are one of the most prevalent and serious of software vulnerabilities. Leakage of sensitive information caused by out-of-bounds reads is a relatively new problem that most recently …
• By Will Klieber
In Secure Development
Supply Chain Risk Management, Network Situational Awareness, Software Architecture, and Network Time Protocol: The Latest Work from the SEI
As part of an ongoing effort to keep you informed about our latest work, this blog post summarizes some recently published SEI technical reports, white papers, podcasts and webinars on …
• By Douglas C. Schmidt
Army Robotics in the Military
The future of autonomy in the military could include unmanned cargo delivery; micro-autonomous air/ground systems to enhance platoon, squad, and soldier situational awareness; and manned and unmanned teaming in both …
• By Jonathan Chu
