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Zhen Tao 0001

dblp:239/7152-1 · DBLP profile ↗
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3ranked-venue papers
1as first author
3since 2021 · last 2025
0009-0009-8826-1283ORCID · conflict

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

Security and privacy · 2 · 1 first-author · 2 since 2021Software engineering, systems software and programming languages · 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
2 papers
Privacy and data protection · 100%
Human-computer interaction and pervasive computing
1 paper
User interface design and tools · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Privacy and data protection › privacy policy
privacy notice
0.912025
Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator · ASE 2025
Privacy and data protection
privacy policy
0.812024
A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation · USENIX Security Symposium 2024
Privacy and data protection
mobile privacy
0.312025
Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator · ASE 2025
Privacy and data protection
mobile app privacy
0.212024
A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation · USENIX Security Symposium 2024

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

natural language processing · 1.5
YearPublicationVenuePosition
2025 Towards Context-aware Mobile Privacy Notice: Implementation of A Deployable Contextual Privacy Policies Generator
Haochen Gong, Zhen Tao 0001, Shidong Pan, Zhenchang Xing, Xiaoyu Sun 0002
ASE2
2025 Privacy Bills of Materials (PriBOM): A Transparent Privacy Information Inventory for Collaborative Privacy Notice Generation in Mobile App Development
abstract
Privacy regulations mandate that developers must provide authentic and comprehensive privacy notices, e.g., privacy policies or labels, to inform users of their apps’ privacy practices. However, due to a lack of knowledge of privacy requirements, developers often struggle to create accurate privacy notices, especially for sophisticated mobile apps with complex features and in crowded development teams. To address these challenges, we introduce PriBOM (Privacy Bills of Materials), a systematic software engineering approach that leverages different development team roles to better capture and coordinate mobile app privacy information. PriBOM facilitates transparency-centric privacy documentation and specific privacy notice creation, enabling traceability and trackability of privacy practices. We present a pre-fill of PriBOM based on static analysis and privacy notice analysis techniques. We explore the perceived usefulness of PriBOM through a human evaluation with 150 diverse participants. The role of PriBOM in enhancing privacy-related communication is well received with 83.33% agreement, suggesting that PriBOM could serve as a significant solution for providing privacy support in DevOps for mobile apps.
Zhen Tao 0001, Shidong Pan, Zhenchang Xing, Xiaoyu Sun 0002, Omar Haggag, John C. Grundy, Liming Zhu 0001
Proc. Priv. Enhancing Technol.1
2024 A NEW HOPE: Contextual Privacy Policies for Mobile Applications and An Approach Toward Automated Generation
Shidong Pan, Zhen Tao 0001, Thong Hoang, Dawen Zhang, Tianshi Li 0001, Zhenchang Xing, Xiwei Xu 0001, Mark Staples, Thierry Rakotoarivelo, David Lo 0001
USENIX Security Symposium2