Alan F. Luo

dblp:352/6278 · DBLP profile ↗
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7ranked-venue papers
2as first author
7since 2021 · last 2026
0000-0002-4391-764XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 6 · 2 first-author · 6 since 2021Human-computer interaction and ubiquitous computing · 4 · 4 since 2021
YearPublicationVenuePosition
2026 The Impact of Emerging AI Practices on the Cybersecurity Workforce
Miuyin Yong Wong, Alan F. Luo, Yunze Zhao, Shubham Bhatnagar, Fabian Monrose, Michelle L. Mazurek
SOUPS2
2026 Perceived Privacy Risk and Mitigation Post-Roe
Alan F. Luo, Phoebe Moh, Cora Sula, Michelle L. Mazurek, Nora McDonald
SP1
2025 Do You See If I See? Investigating Reciprocity in Interpersonal Access-Control Settings (in the U.S.)
Nathan Malkin, Alan F. Luo, Evan J. Zhao, Michelle L. Mazurek
SOUPS2
2025 Safety Perceptions of Generative AI Conversational Agents: Uncovering Perceptual Differences in Trust, Risk, and Fairness
Jan Tolsdorf, Alan F. Luo, Monica Kodwani, Junho Eum, Mahmood Sharif, Michelle L. Mazurek, Adam J. Aviv
SOUPS2
2025 Threat Modeling Healthcare Privacy in the United States
abstract
The landscape of digital privacy risks faced by individuals seeking abortions has grown increasingly complex following the overturn of Roe v. Wade. Reproductive healthcare providers are uniquely positioned to offer critical privacy guidance. We conducted interviews with 22 reproductive healthcare providers across the U.S. to explore their perceptions of privacy threats for abortion-seeking patients and the types of guidance they provide. Our findings show that providers are most concerned about privacy risks for vulnerable patients—minors, individuals seeking gender-affirming care, and those in abusive relationships—particularly regarding information that could be intercepted by people close to them, such as partners or relatives. However, providers generally do not perceive government surveillance or hostile actors as major threats to abortion-seeking patients. We conclude with an updated notion of informed consent and preliminary recommendations for ways healthcare providers can revise their threat models to better support the privacy of abortion-seeking patients.
Nora McDonald, Alan F. Luo, Phoebe Moh, Michelle L. Mazurek, Nazanin Andalibi
ACM Trans. Comput. Hum. Interact.2
2023 Optimistic Access Control for the Smart Home
abstract
One of the biggest privacy concerns of smart home users is enforcing limits on household members’ access to devices and each other’s data. While people commonly express preferences for intricate access control policies, in practice they often settle for less secure defaults. As an alternative, this paper investigates "optimistic access control" policies that allow users to obtain access and data without pre-approval, subject to oversight from other household members. This solution allows users to leverage the interpersonal trust they already rely on in order to establish privacy boundaries commensurate with more complex access control methods, while retaining the convenience of less secure strategies. To evaluate this concept, we conducted a series of surveys with 604 people total, studying the acceptability and perceptions of this approach. We found that a number of respondents preferred optimistic modes to existing access control methods and that interest in optimistic access varied with device type and household characteristics.
Nathan Malkin, Alan F. Luo, Julio Poveda, Michelle L. Mazurek
SP2
2023 How Library IT Staff Navigate Privacy and Security Challenges and Responsibilities
Alan F. Luo, Noel Warford, Samuel Dooley, Rachel Greenstadt, Michelle L. Mazurek, Nora McDonald
USENIX Security Symposium1