Jk Jensen
2019
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Jk Jensen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jk Jensen overall
Papers from Jk Jensen's perspective
Ordered by how strongly the researchers Jk Jensen trusts endorse each paper. Same corpus, a different order for every researcher.
- A Scanner Darkly: Protecting User Privacy from Perceptual Applications
- google,我,萨娜
- Information flow control for standard OS abstractions (Symposium on Operating Systems Principles)
- MarkIt: privacy markers for protecting visual secrets
- World-Driven Access Control for Continuous Sensing
- I-Pic: A Platform for Privacy-Compliant Image Capture
- FlowFence: Practical Data Protection for Emerging IoT Application Frameworks (USENIX Security Symposium)
- Microsoft
- Enabling Fine-Grained Permissions for Augmented Reality Applications with Recognizers
- Labels and event processes in the asbestos operating system (Symposium on Operating Systems Principles)
Their papers
- Protecting Visual Information in Augmented Reality from Malicious Application Developers (2019) — 164 citations