Evan Rose

(he/him)

PhD Student

Evan Rose
  • Artificial intelligence  
  • Machine learning  
  • Security and privacy
  • BS in Computer Science and Mathematics, University of Virginia  
  • Associate of Arts and Science in Science, Mountain Gateway Community College 

Evan Rose is a PhD student in the Khoury College of Computer Sciences at Northeastern University, based in Boston. He is advised by Alina Oprea. 

Rose is interested in improving the security properties of machine learning systems, particularly as they relate to data poisoning attacks and operations in adversarial environments. He became interested in the subject while part of the Security Research Group at the University of Virginia; there, he saw how fickle machine learning systems could be in adversarial conditions and came to believe that foundational work remains before machine-learning-based applications can be considered secure. He enjoys the work’s technical depth and mix of theoretical and practical components, as well as the richly collaborative spirit of the NDS2 Lab.  

Rose joined Khoury College in 2023 to study adversarial machine learning and trustworthy AI. He earned a Best Submission award at the VISxAI workshop in 2022, and his more recent work "ACE: A Security Architecture for LLM Integrated App Systems" is set to appear at NDSS 2026.  

In his free time, Rose enjoys soccer, playing drums and ocarina, reading, and pottery. 

  • ACE: A Security Architecture for LLM-Integrated App Systems

    Citation: Evan Li, Tushin Mallick, Evan Rose, William K. Robertson, Alina Oprea, Cristina Nita-Rotaru. (2025). ACE: A Security Architecture for LLM-Integrated App Systems CoRR, abs/2504.20984. https://doi.org/10.48550/arXiv.2504.20984