Degenerate Resistive Switching and Ultrahigh Density Storage in Resistive Memory. - Andrew J. Lohn; Patrick R. Mickel; Conrad D. James; Matthew J. Marinella (CoRR, 2014)

Memristors as Synapses in Artificial Neural Networks: Biomimicry Beyond Weight Change. - Andrew J. Lohn; Patrick R. Mickel; James B. Aimone; Erik P. DeBenedictis; Matthew J. Marinella (Cybersecurity Systems for Human Cognition Augmentation, 2014)

Timelines for In-Code Discovery of Zero-Day Vulnerabilities and Supply-Chain Attacks. - Andrew J. Lohn (CoRR, 2018)

Defense in Depth: The Basics of Blockade and Delay. - Andrew J. Lohn (CoRR, 2019)

Adversarial Examples for Cost-Sensitive Classifiers. - Gavin S. Hartnett; Andrew J. Lohn; Alexander P. Sedlack (CoRR, 2019)

Estimating the Brittleness of AI: Safety Integrity Levels and the Need for Testing Out-Of-Distribution Performance. - Andrew J. Lohn (CoRR, 2020)

Downscaling Attack and Defense: Turning What You See Back Into What You Get. - Andrew J. Lohn (CoRR, 2020)

Empirical Evaluation of Physical Adversarial Patch Attacks Against Overhead Object Detection Models. - Gavin S. Hartnett; Li Ang Zhang; Caolionn O'Connell; Andrew J. Lohn; Jair Aguirre (CoRR, 2022)

Will AI Make Cyber Swords or Shields: A few mathematical models of technological progress. - Andrew J. Lohn; Krystal Alex Jackson (CoRR, 2022)

The Impact of AI on the Cyber Offense-Defense Balance and the Character of Cyber Conflict. - Andrew J. Lohn (CoRR, 2025)

Defending Against Intelligent Attackers at Large Scales. - Andrew J. Lohn (CoRR, 2025)