Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jonathan Prokos
dblp:308/5541
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Security and privacy of machine learning · 100% | |
| Computer graphics and multimedia
1 paper |
Multimedia analysis and retrieval · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Security and privacy of machine learning
adversarial machine learning |
0.7 | 1 | 2023 | Squint Hard Enough: Attacking Perceptual Hashing with Adversarial Machine Learning · USENIX Security Symposium 2023 |
Multimedia analysis and retrieval › multimedia hashing
perceptual hashing |
0.2 | 1 | 2023 | Squint Hard Enough: Attacking Perceptual Hashing with Adversarial Machine Learning · USENIX Security Symposium 2023 |
Methods — techniques the papers use, named apart from their topics
adversarial machine learning · 1.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Squint Hard Enough: Attacking Perceptual Hashing with Adversarial Machine Learning
Jonathan Prokos, Neil Fendley, Matthew Green 0001, Roei Schuster, Eran Tromer, Tushar M. Jois, Yinzhi Cao |
USENIX Security Symposium | 1 |