Joshua Allen
Signal Processing · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Signal Processing — 9 citations into it
- Computer Networks and Communications — 6 citations into it
Whom Joshua Allen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Rafail M. Ostrovsky
- Ú. Erlingsson
- Cynthia Dwork
- Graham Cormode
- Emil Stefanov
- Daniel M. Kane
- O. Ohrimenko
- Ilya Mironov
- S. Muthu Muthukrishnan
- Raef Bassily
Who trusts Joshua Allen overall
Papers from Joshua Allen's perspective
Ordered by how strongly the researchers Joshua Allen trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- The Algorithmic Foundations of Differential Privacy
- Membership Inference Attacks Against Machine Learning Models
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Software protection and simulation on oblivious RAMs
- Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
- Heavy Hitters
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- An improved data stream summary: the count-min sketch and its applications
- Learning Multiple Layers of Features from Tiny Images
Their papers
- An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors (2018) — 35 citations