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Jaron Mink

(he/they)

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Incoming Assistant Professor
NSF Fellow
Arizona State University
jaron.mink@asu.edu

I’m an incoming Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University. I’m currently recruiting motivated PhD students; if you are interested in working together, send me an email!

My work discovers how human interaction impacts ML security in two ways: How human factors can be 1) exploited to reduce security and 2) harnessed to improve security. Since ML-enabled abuse is becoming increasingly common, I investigate how lay users perceive and react to new attacks, e.g., how social media users react to deepfakes [USENIX Sec. 2022, CHI 2024]. As ML is beginning to be applied in security-critical systems, I evaluate how usable these tools are for technical users, e.g., how easy it is for ML developers to apply security defenses [USENIX Sec. 2023, IEEE SP 2023].

I work at the intersection of usable security, machine learning, and system security. My Ph.D. is advised by Professor Gang Wang at the University of Illinois at Urbana-Champaign.

My CV is available here.

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