Jaron Mink
Jaron Mink runs their lab at Arizona State University. Jaron is interested in the ways people interact with AI systems, and the implications they have on security and privacy. They were a PhD student with Dr. Gang Wang at University of Illinois–Urbana-Champaign and did their undergrad at UCLA.
Publications With The Lab
- "Unlimited Realm of Exploration and Experimentation": Methods and Motivations of AI-Generated Sexual Content Creators
- Like a Hammer, It Can Build, It Can Break: Large Language Model Uses, Perceptions, and Adoption in Cybersecurity Operations on Reddit
- I Can SE Clearly Now: Investigating the Effectiveness of GUI-based Symbolic Execution for Software Vulnerability Discovery
- Do Hackers Dream of Electric Teachers?: A Large-Scale, In-Situ Evaluation of Cybersecurity Student Behaviors and Performance with AI Tutors
- SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors
- It's Trying Too Hard To Look Real: Deepfake Moderation Mistakes and Identity-Based Bias
- "Security is not my field, I'm a stats guy": A Qualitative Root Cause Analysis of Barriers to Adversarial Machine Learning Defenses in Industry
- SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions
- Everybody's Got ML, Tell Me What Else You Have: Practitioners' Perception of ML-Based Security Tools and Explanations
- FAuST: Striking a Bargain between Forensic Auditing's Security and Throughput
- DeepPhish: Understanding User Trust Towards Artificially Generated Profiles in Online Social Networks
- Users Can Deduce Sensitive Locations Protected by Privacy Zones on Fitness Tracking App
- Beyond Bot Detection: Combating Fraudulent Online Survey Takers
- On the Forensic Validity of Approximated Audit Logs