EDBT 2026 Demo / reviewers in the wild / expert
Muhammad Abu Bakar Aziz
dblp:376/8162
· DBLP profile ↗
3ranked-venue papers
1as first author
3since 2021 · last 2026
0009-0008-5377-4938ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021Security and privacy · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 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 |
Privacy and data protection · 70% Security and privacy of machine learning · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection › inference attack
demographic inference |
1.0 | 1 | 2026 | Inferring Users' Demographics and Sensitive Interests Using the Topics API · WWW 2026 |
Security and privacy of machine learning
privacy attack |
1.0 | 1 | 2026 | Inferring Users' Demographics and Sensitive Interests Using the Topics API · WWW 2026 |
Privacy and data protection
user profiling |
1.0 | 1 | 2026 | Inferring Users' Demographics and Sensitive Interests Using the Topics API · WWW 2026 |
Privacy and data protection › web privacy
browser privacy |
0.3 | 1 | 2026 | Inferring Users' Demographics and Sensitive Interests Using the Topics API · WWW 2026 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Inferring Users' Demographics and Sensitive Interests Using the Topics API
Athicha Srivirote, Muhammad Abu Bakar Aziz, Jeffrey L. Gleason, Desheng Hu, Christo Wilson |
WWW | 2 |
| 2024 | Market or Markets? Investigating Google Search's Market Shares under Vertical SegmentationabstractIs Google Search a monopoly with gatekeeping power? Regulators from the US, UK, and Europe have argued that it is based on the assumption that Google Search dominates the market for horizontal (a.k.a. “general”) web search. Google disputes this, claiming that competition extends to all vertical (a.k.a. “specialized”) search engines, and that under this market definition it does not have monopoly power. In this study we present the first analysis of Google Search’s market share under vertical segmentation of online search. We leverage observational trace data collected from a panel of US residents that includes their web browsing history and copies of the Google Search Engine Result Pages they were shown.We observe that participants’ search sessions begin at Google greater than 50% of the time in 24 out of 30 vertical market segments (which comprise almost all of our participants’ searches). Our results inform the consequential and ongoing debates about the market power of Google Search and the conceptualization of online markets in general. Desheng Hu, Jeffrey L. Gleason, Muhammad Abu Bakar Aziz, Alice Koeninger, Nikolas Guggenberger, Ronald E. Robertson, Christo Wilson |
ICWSM | 3 |
| 2024 | Johnny Still Can't Opt-out: Assessing the IAB CCPA Compliance FrameworkabstractThe privacy laws and regulations that govern the collection, sharing, and selling of online data are changing. In the U.S., California adopted the California Consumer Privacy Act (CCPA) and the California Privacy Rights Act (CPRA), and twelve other U.S. states have adopted similar laws. Industry has responded by developing technical standards for collecting and disseminating consent information, such as the IAB CCPA Compliance Framework. While publishers are adopting this framework and the IAB is extending it to cover privacy laws in other U.S. states, recent work has observed that opt-out signals are not being honored under the framework. In this study, we take a deep dive into the IAB CCPA Compliance Framework to measure end-to-end flows of consent information and better understand why opt-out signals are not being honored. Using data crawled from top websites under different experimental conditions, we examine overall adoption of the framework, the flow of consent information from publishers to third parties and between third parties, and finally the reach of opt-out signals. Our results uncover numerous issues with the adoption and implementation of the framework that prevent users' consent choices from being honored by third parties. Muhammad Abu Bakar Aziz, Christo Wilson |
Proc. Priv. Enhancing Technol. | 1 |