VLDB 2026 Research / reviewers in the wild / expert
Joseph Zhang
dblp:249/2614
· DBLP profile ↗
3ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2 · 2 since 2021Human-computer interaction and ubiquitous computing · 1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Oreo: Protecting ASLR Against Microarchitectural Attacks
Shixin Song, Joseph Zhang, Mengjia Yan 0001 |
NDSS | 2 |
| 2024 | AI Psychiatry: Forensic Investigation of Deep Learning Networks in Memory Images
David Oygenblik, Carter Yagemann, Joseph Zhang, Arianna Mastali, Jeman Park 0001, Brendan Saltaformaggio |
USENIX Security Symposium | 3 |
| 2019 | A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking UsersabstractBy choice or by necessity, some contributors to commons-based peer production sites use privacy-protecting services to remain anonymous. As anonymity seekers, users of the Tor network have been cast both as ill-intentioned vandals and as vulnerable populations concerned with their privacy. In this study, we use a dataset drawn from a corpus of Tor edits to Wikipedia to uncover the character of Tor users' contributions. We build in-depth narrative descriptions of Tor users' actions and conduct a thematic analysis that places their editing activity into seven broad groups. We find that although their use of a privacy-protecting service marks them as unusual within Wikipedia, the character of many Tor users' contributions is in line with the expectations and norms of Wikipedia. However, our themes point to several important places where lack of trust promotes disorder, and to contributions where risks to contributors, service providers, and communities are unaligned. Kaylea Champion, Nora McDonald, Stephanie Bankes, Joseph Zhang, Rachel Greenstadt, Andrea Forte, Benjamin Mako Hill |
Proc. ACM Hum. Comput. Interact. | 4 |