معرفی
Jaron Mink is an Assistant Professor at Arizona State University's School of Computing and Augmented Intelligence, leading the Human Aspects in cyber Protections and Privacy Lab (Happy Lab). His research focuses on the intersection of usable security, machine learning, and system security, particularly exploring how human factors impact ML security. He holds a Magna Cum Laude from UCLA and completed graduate studies at the University of Illinois at Urbana-Champaign (UIUC), where he served as a Teaching Assistant and Guest Lecturer in Computer Security courses.
Education:
- University of California, Los Angeles (UCLA) - Bachelors (Magna Cum Laude)
- University of Illinois at Urbana-Champaign (UIUC) - PhD in Computer Science
Research Interests:
- Human-ML Interaction Dynamics
- Deepfake Detection and User Perception
- Adversarial ML Defense Adoption Barriers
- User Trust in Security Tools
- Privacy-Preserving Technology Design
Recent Publications: Focus on quantifying sociodemographic influences in security behaviors, analyzing deepfake moderation biases, and evaluating ML security tool usability across industries.
Awards:
- Google Research Scholar Program
- NSF Graduate Research Fellowship
Teaching: Instructs courses like Information Assurance and Trustworthy Human-ML Interaction at ASU, previously teaching Computer Security II at UIUC.
Labs/Teams: Directs the Happy Lab, actively recruiting PhD students to tackle challenges in human-centric cybersecurity and privacy.
Hobbies: Passionate about vintage dance styles (Lindy Hop, Blues, Balboa) and strategic board games like Spirit Island and War of the Ring.
