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Jaron Mink

(they/them)

Assistant Professor
Arizona State University
jaron.mink@asu.edu
The Happy Lab
Curriculum Vitae

I’m an Assistant Professor in the School of Computing and Augmented Intelligence at Arizona State University. I work at the intersection of usable security, machine learning, and system security and direct the Human Aspects in cyber Protections and Privacy Lab (the Happy Lab :-) ). Our lab is currently recruiting motivated PhD students; if you’d like to work together, consider applying!

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].

Selected Awards

Publications

SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors
Miranda Wei, Jaron Mink, Yael Eiger, Tadayoshi Kohno, Elissa M. Redmiles, Franziska Roesner
33rd USENIX Security Symposium, 2024
PDF

It’s Trying Too Hard To Look Real: Deepfake Moderation Mistakes and Identity-Based Bias
Jaron Mink, Miranda Wei, Collins W. Munyendo, Kurt Hugenberg, Tadayoshi Kohno, Elissa M. Redmiles, Gang Wang
ACM CHI Conference on Human Factors in Computing Systems, 2024
PDF Talk
News: NIST AI Executive Order RFI

“Security is not my field, I’m a stats guy”: A Qualitative Root Cause Analysis of Barriers to Adversarial Machine Learning Defenses in Industry
Jaron Mink*, Harjot Kaur*, Juliane Schmüser*, Sascha Fahl, Yasemin Acar
32nd USENIX Security Symposium, 2023
PDF Talk Slides
News: Human-Centered Security Podcast, NIST AI Executive Order RFI

Everybody’s Got ML, Tell Me What Else You Have: Practitioners’ Perception of ML-Based Security Tools and Explanations
Jaron Mink, Hadjer Benkraouda, Limin Yang, Arridhana Ciptadi, Ali Ahmadzadeh, Daniel Votipka, Gang Wang
44th IEEE Symposium on Security and Privacy, 2023
PDF Talk Slides Teaser
News: Human-Centered Security Podcast, NIST AI Executive Order RFI

SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions
Muhammad Adil Inam, Yinfang Chen, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan
44th IEEE Symposium on Security and Privacy, 2023
PDF

FAuST: Striking a Bargain between Forensic Auditing’s Security and Throughput
Muhammad Adil Inam, Akul Goyal, Jason Liu, Jaron Mink, Noor Michael, Sneha Gaur, Adam Bates, Wajih Ul Hassan
38th Annual Computer Security Applications Conference, 2022
PDF

DeepPhish: Understanding User Trust Towards Artificially Generated Profiles in Online Social Networks
Jaron Mink, Licheng Luo, Nata M. Barbosa, Olivia Figueria, Yang Wang, Gang Wang
31st USENIX Security Symposium, 2022
PDF Supplemental Materials Website Talk Slides Artifact Available, Artifacts Functional, Results Reproduced
News: Futurum, New Scientist, NIST AI Executive Order RFI

Beyond Bot Detection: Combating Fraudulent Online Survey Takers
Ziyi Zhang, Shuofei Zhu, Jaron Mink, Aiping Xiong, Linhai Song, Gang Wang
The ACM Web Conference, 2022
PDF
News: The Transmitter

Users Can Deduce Sensitive Locations Protected by Privacy Zones on Fitness Tracking App
Jaron Mink, Amanda Rose Yuile, Uma Pal, Adam J Aviv, Adam Bates
ACM CHI Conference on Human Factors in Computing Systems, 2022
PDF Supplemental Materials Talk Slides
News: The 21st Show

On the Forensic Validity of Approximated Audit Logs
Noor Michael, Jaron Mink, Jason Liu, Sneha Gaur, Wajih Ul Hassan, Adam Bates
36th Annual Computer Security Applications Conference, 2020
PDF Talk Slides

Teaching

Service

Hobbies: