Tianqing Zhu
Artificial Intelligence · with Zhou · 2015–2018
A researcher in the Science corpus: 3 papers; trusts 29 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 99 citations into it; #30,850 of 35,345 by trust here, #21,316 by citations
- Privacy & Security — 50 citations into it
- Safety, Robustness & Interpretability — 17 citations into it
- Sociology and Political Science — 16 citations into it
- Computational Theory and Mathematics — 14 citations into it
- Statistics and Probability — 12 citations into it
- Information Systems — 6 citations into it
Whom Tianqing Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Frank McSherry
- Kobbi Nissim
- Kamalika Chaudhuri
- Moritz Hardt
- Adam D. Smith
- Avrim Blum
- Daniel Kifer
- Abhradeep Thakurta
- Xiaokui Xiao
Who trusts Tianqing Zhu overall
Papers from Tianqing Zhu's perspective
Ordered by how strongly the researchers Tianqing Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Revealing information while preserving privacy
- Differential Privacy
- Learning Multiple Layers of Features from Tiny Images
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
Their papers
- Correlated Differential Privacy: Hiding Information in Non-IID Data Set (2015) — 198 citations
- Adversaries or allies? Privacy and deep learning in big data era (2018) — 27 citations
- Differentially Private Data Publishing and Analysis: A Survey (2017) — 308 citations