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 | 37 | 2022 |
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 | 36 | 2023 |
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 | 35 | 2020 |
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 | 29 | 2022 |
“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 | 15 | 2023 |
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 | 8 | 2023 |
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 | 7 | 2022 |
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 | 4 | 2022 |
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 | 2 | 2024 |
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 | | 2024 |
Can you trust what you see online? G Wang, J Mink Futurum Careers, 2023 | | 2023 |