CMU SEI Research Review 2020 Day 2 Artifacts
• Collection
Publisher
Software Engineering Institute
Topic or Tag
Abstract
This collection includes materials from day two of the 2020 SEI Research Review event. These materials include presentations and posters about automated code repair, vulnerability analysis, cyber opera-tor tradecraft, artificial intelligence defense evaluation, static analysis classification, and human-machine teaming.
Collection Items
Advancing Cyber Operator Tradecraft Through Automated Static Binary Analysis
• Presentation
By Edward J. Schwartz, Cory Cohen
This presentation discusses three SEI research and development projects that help malware and vulnerability analysts.
Learn More
Automated Code Repair to Ensure Memory Safety for Source and Binary
• Presentation
By William Klieber
This presentation describes an automated technique developed to repair C source code to eliminate memory safety vulnerabilities.
Learn More
Artificial Intelligence Defense Evaluation
• Presentation
By Shing-hon Lau, Grant Deffenbaugh
This presentation describes efforts to develop a comprehensive testing methodology for AI defenses to identify their capabilities and the ways they can be bypassed.
Learn More
Static Analysis Classification: Line-Funded Research FY16-20
• Presentation
By Lori Flynn
CMU SEI researchers developed several static analysis techniques and tools to enable practical classification that leads to more secure software and lowered cost.
Learn More
Toward the Use of Human-Machine Teaming and Fully Autonomous Operations
• Presentation
By Jeff Mattson
This presentation describes CMU SEI's work in cyber workforce development and autonomous cyber operations.
Learn MorePart of a Collection
CMU SEI Research Review 2020 Artifacts