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Jaron Mink
Jaron Mink
Assistant Professor, Arizona State University
Overená e-mailová adresa na: asu.edu - Domovská stránka
Názov
Citované v
Citované v
Rok
Sok: History is a vast early warning system: Auditing the provenance of system intrusions
MA Inam, Y Chen, A Goyal, J Liu, J Mink, N Michael, S Gaur, A Bates, ...
2023 IEEE Symposium on Security and Privacy (SP), 2620-2638, 2023
632023
Beyond Bot Detection: Combating Fraudulent Online Survey Takers
Z Zhang, S Zhu, J Mink, A Xiong, L Song, G Wang
Proceedings of the ACM Web Conference 2022, 699-709, 2022
482022
On the forensic validity of approximated audit logs
N Michael, J Mink, J Liu, S Gaur, WU Hassan, A Bates
Proceedings of the 36th Annual Computer Security Applications Conference …, 2020
482020
DeepPhish: Understanding User Trust Towards Artificially Generated Profiles in Online Social Networks
J Mink, L Luo, NM Barbosa, O Figueira, Y Wang, G Wang
31st USENIX Security Symposium (USENIX Security 22), 2022
472022
“Security is not my field, I’m a stats guy”: A Qualitative Root Cause Analysis of Barriers to Adversarial Machine Learning Defenses in Industry
J Mink, H Kaur, J Schmüser, S Fahl, Y Acar
32nd USENIX Security Symposium (USENIX Security '23), 2023
222023
Everybody’s Got ML, Tell Me What Else You Have: Practitioners’ Perception of ML-Based Security Tools and Explanations
J Mink, H Benkraouda, L Yang, A Ciptadi, A Ahmadzadeh, D Votipka, ...
IEEE Symposium on Security and Privacy (SP), 2023
162023
Users Can Deduce Sensitive Locations Protected by Privacy Zones on Fitness Tracking Apps
J Mink, AR Yuile, U Pal, AJ Aviv, A Bates
Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems, 2022
142022
FAuST: Striking a Bargain between Forensic Auditing’s Security and Throughput
MA Inam, A Goyal, J Liu, J Mink, N Michael, S Gaur, A Bates, WU Hassan
Proceedings of the 38th Annual Computer Security Applications Conference …, 2022
92022
SoK (or SoLK?): On the Quantitative Study of Sociodemographic Factors and Computer Security Behaviors
M Wei, J Mink, Y Eiger, T Kohno, EM Redmiles, F Roesner
arXiv preprint arXiv:2404.10187, 2024
62024
It's Trying Too Hard To Look Real: Deepfake Moderation Mistakes and Identity-Based Bias
J Mink, M Wei, CW Munyendo, K Hugenberg, T Kohno, EM Redmiles, ...
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-20, 2024
12024
Can you trust what you see online?
G Wang, J Mink
Futurum Careers, 2023
2023
Systém momentálne nemôže vykonať operáciu. Skúste to neskôr.
Články 1–11