Joseph Zhang

dblp:249/2614 · DBLP profile ↗
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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
YearPublicationVenuePosition
2025 Oreo: Protecting ASLR Against Microarchitectural Attacks
Shixin Song, Joseph Zhang, Mengjia Yan 0001
NDSS2
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 Symposium3
2019 A Forensic Qualitative Analysis of Contributions to Wikipedia from Anonymity Seeking Users
abstract
By 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