Inken Hagestedt
2018
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Inken Hagestedt trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Inken Hagestedt's perspective
Ordered by how strongly the researchers Inken Hagestedt trusts endorse each paper. Same corpus, a different order for every researcher.
- The Algorithmic Foundations of Differential Privacy
- Eye Movement Analysis for Activity Recognition Using Electrooculography (IEEE Transactions on Pattern Analysis and Machine Intelligence)
- Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing
- Revealing information while preserving privacy
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differential Privacy
- Differentially Private Empirical Risk Minimization
- ImageNet classification with deep convolutional neural networks
- Membership Inference Attacks Against Machine Learning Models
- Preserving Statistical Validity in Adaptive Data Analysis
Their papers
- Privacy-aware eye tracking using differential privacy (2018) — 138 citations