Papers · Patents · Writing

Research.

Understanding the trust boundaries of AI systems, from prompt injection to defensive applications.

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Papers & publications

2026

The Anatomy of a Prompt Injection: A Component Model for Structured Analysis

Jeremy McHugh

Read on arXiv

2025

Prompt Injection 2.0: Hybrid AI Threats

Jeremy McHugh, Kristina Šekrst, Jon Cefalu

Read on arXiv

2024

AI Ethics by Design: Implementing Customizable Guardrails for Responsible AI Development

Kristina Šekrst, Jeremy McHugh, Jonathan Rodriguez Cefalu

Read on arXiv

2022

Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

H. J. Branch, J. R. Cefalu, J. McHugh, L. Hujer, A. Bahl, D. C. Iglesias, et al.

Read on arXiv

2021

An Observational Assessment of CTI Standards for Blue Teams

J. McHugh, D. Childs, J. Jenkins

Read proceedings (PDF)

Issued patents

Prompt injection mitigation

Mitigation for prompt injection in A.I. models capable of accepting text input

Inventors: Jonathan Cefalu, Jeremy Charles McHugh, and Ron Heichman.

US 12,118,471 B2
US 12,614,079 B2

Selected writing