Demo Data from EDBT 2026 / reviewers in the wild / expert
Eric D. Kilmer
dblp:169/8829
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1Security and privacy · 1
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 |
Web and mobile security · 87% Usable security · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Web and mobile security › content blocking
ad blocking |
0.2 | 1 | 2015 | Measuring the Impact and Perception of Acceptable Advertisements · Internet Measurement Conference 2015 |
Web and mobile security
online advertising |
0.2 | 1 | 2015 | Measuring the Impact and Perception of Acceptable Advertisements · Internet Measurement Conference 2015 |
Methods — techniques the papers use, named apart from their topics
measurement study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | BinDNN: Resilient Function Matching Using Deep Learning
Nathaniel Lageman, Eric D. Kilmer, Robert J. Walls, Patrick D. McDaniel |
SecureComm | 2 |
| 2015 | Measuring the Impact and Perception of Acceptable AdvertisementsabstractIn 2011, Adblock Plus---the most widely-used ad blocking software---began to permit some advertisements as part of their Acceptable Ads program. Under this program, some ad networks and content providers pay to have their advertisements shown to users. Such practices have been controversial among both users and publishers. In a step towards informing the discussion about these practices, we present the first comprehensive study of the Acceptable Ads program. Specifically, we characterize which advertisements are allowed and how the whitelisting has changed since its introduction in 2011. We show that the list of filters used to whitelist acceptable advertisements has been updated on average every 1.5 days and grew from 9 filters in 2011 to over 5,900 in the Spring of 2015. More broadly, the current whitelist triggers filters on 59% of the top 5,000 websites. Our measurements also show that the program allows advertisements on 2.6 million parked domains. Lastly, we take the lessons learned from our analysis and suggest ways to improve the transparency of the whitelisting process. Robert J. Walls, Eric D. Kilmer, Nathaniel Lageman, Patrick D. McDaniel |
Internet Measurement Conference | 2 |