Kevin Flyangolts

This study evaluates the effectiveness of biosecurity screening tools against AI-generated synthetic homologs of proteins of concern, finding some tools can detect fragments as short as 50 nucleotides.

This study evaluates AI tools for synthetic nucleic acid legitimacy screening, finding AI can match human performance at a fraction of the cost.

The paper develops a rubric to define sequences of concern by analyzing test sequences and refining categorization through stakeholder review, reducing disputed categorization by 44.3% for controlled viruses.

The paper evaluates sequence screening tools using a NIST dataset to assess their consistency in identifying sequences of concern.

The paper evaluates vulnerabilities in biosecurity screening tools by testing their ability to detect splitting-based obfuscation of synthetic DNA sequences.

The paper evaluates biosecurity screening tools for detecting AI-generated synthetic protein homologs and reports improved detection rates through patches.