Demo Data from EDBT 2026 / reviewers in the wild / expert
Shirin Rehman
dblp:433/4132
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0004-0632-0344ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-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 · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Wearable and physiological sensing · 100% |
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 › image privacy
bystander privacy |
1.0 | 1 | 2026 | See Me If You Can: A Multi-Layer Protocol for Bystander Privacy with Consent-Based Restoration · CHI 2026 |
Privacy and data protection
privacy-enhancing technologies |
1.0 | 1 | 2026 | See Me If You Can: A Multi-Layer Protocol for Bystander Privacy with Consent-Based Restoration · CHI 2026 |
Privacy and data protection
privacy perceptions |
1.0 | 1 | 2026 | See Me If You Can: A Multi-Layer Protocol for Bystander Privacy with Consent-Based Restoration · CHI 2026 |
Wearable and physiological sensing › wearable camera
camera glasses |
0.3 | 1 | 2026 | See Me If You Can: A Multi-Layer Protocol for Bystander Privacy with Consent-Based Restoration · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
semi-structured interviews · 2.0qualitative study · 2.0protocol design · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | See Me If You Can: A Multi-Layer Protocol for Bystander Privacy with Consent-Based RestorationabstractThe growing popularity of wearable camera glasses raises pressing concerns about bystanders being recorded without their consent. Most existing privacy-enhancing technologies (PETs) rely on opt-out models that place the burden of privacy protection on bystanders. We conducted a qualitative study on wearers’ and bystanders’ perceptions of opt-in, privacy-by-default approaches for camera glasses. To enable this study, we designed and evaluated an opt-in privacy-by-default protocol. We then conducted semi-structured interviews with camera glass wearers and bystanders (N = 18) to examine their perceptions of the protocol. Our findings show that bystanders viewed the opt-in protocol as essential and advocated for even stronger anonymization. Wearers appreciated the protocol’s safeguards but found it visually limiting, expressing desire for a context-dependent version that can be enabled in relevant scenarios. Our findings highlight the need for context-aware PETs that provide effective mechanisms for consent negotiation. Yahya Khawaja, Shirin Rehman, Alexander Ponticello, Divyanshu Bhardwaj 0001, Katharina Krombholz, Muhammad Hamad Alizai, Naveed Anwar Bhatti |
CHI | 2 |