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Yahya Khawaja

dblp:433/2506 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2026
0009-0002-5702-5949ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 2 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
2 papers
Privacy and data protection · 100%
Human-computer interaction and pervasive computing
2 papers
Wearable and physiological sensing · 100%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection › image privacy
bystander privacy
1.012026
See Me If You Can: A Multi-Layer Protocol for Bystander Privacy with Consent-Based Restoration · CHI 2026
Privacy and data protection › privacy compliance › consent
consent management
1.012026
Now You See Me, Now You Don't: Consent-Driven Privacy for Smart Glasses · PerCom 2026
Privacy and data protection
privacy-enhancing technologies
1.012026
See Me If You Can: A Multi-Layer Protocol for Bystander Privacy with Consent-Based Restoration · CHI 2026
Privacy and data protection
privacy perceptions
1.012026
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
0.312026
See Me If You Can: A Multi-Layer Protocol for Bystander Privacy with Consent-Based Restoration · CHI 2026
Wearable and physiological sensing › wearable display
smart glasses
0.312026
Now You See Me, Now You Don't: Consent-Driven Privacy for Smart Glasses · PerCom 2026

Methods — techniques the papers use, named apart from their topics

semi-structured interviews · 2.0qualitative study · 2.0protocol design · 2.0
YearPublicationVenuePosition
2026 See Me If You Can: A Multi-Layer Protocol for Bystander Privacy with Consent-Based Restoration
abstract
The 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
CHI1
2026 Now You See Me, Now You Don't: Consent-Driven Privacy for Smart Glasses
Yahya Khawaja, Eman Nabeel, Sana Humayun, Eruj Javed, Katharina Krombholz, Muhammad Hamad Alizai, Naveed Anwar Bhatti
PerCom1