Carmela Troncoso
Artificial Intelligence · 2010–2020
A researcher in the Science corpus: 8 papers; trusts 44 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 106 citations into it; #13,183 of 35,345 by trust here, #10,566 by citations
- Sociology and Political Science — 40 citations into it; #6,455 of 22,756 by trust here, #4,823 by citations
- Privacy & Security — 31 citations into it; #416 of 709 by trust here, #394 by citations
- Safety, Robustness & Interpretability — 19 citations into it
- Transportation — 19 citations into it
- Computer Networks and Communications — 11 citations into it
- Epidemiology — 9 citations into it
- Statistics and Probability — 9 citations into it
Whom Carmela Troncoso trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Reza Shokri
- Vibhor Rastogi
- Gergely Ács
- T-H. Hubert Chan
- Latanya Sweeney
- Philippe Golle
- John Krumm
- Elaine Shi
- George Danezis
Who trusts Carmela Troncoso overall
- Reza Shokri
- Jinyuan Jia
- Ahmed Salem
- Binghui Wang
- Neil Zhenqiang Gong
- Congzheng Song
- Jiayuan Ye
- Qingrong Chen
- Casey Devet
- Apostolos Pyrgelis
Papers from Carmela Troncoso's perspective
Ordered by how strongly the researchers Carmela Troncoso trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Calibrating Noise to Sensitivity in Private Data Analysis
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Differential Privacy
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Knock Knock, Who's There? Membership Inference on Aggregate Location Data (2017) — 296 citations
- Protecting location privacy: optimal strategy against localization attacks (2012) — 433 citations
- What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy (2017) — 60 citations
- Decentralized Privacy-Preserving Proximity Tracing (2020) — 366 citations
- Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning (2019) — 41 citations
- Engineering Privacy by Design (2011) — 313 citations
- PIR-Tor: Scalable Anonymous Communication Using Private Information Retrieval (2011) — 139 citations
- Unraveling an old cloak: k-anonymity for location privacy (2010) — 153 citations