Jiansheng Ding

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Privacy & Security — 16 citations into it
• Computational Theory and Mathematics — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Jiansheng Ding trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Craig Gentry
2. Yehuda Lindell
3. Oded Goldreich
4. Alex Krizhevsky

Papers from Jiansheng Ding's perspective

Ordered by how strongly the researchers Jiansheng Ding trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning Multiple Layers of Features from Tiny Images
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Fully homomorphic encryption using ideal lattices
4. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
5. Densely Connected Convolutional Networks
6. Extending Oblivious Transfers Efficiently
7. More efficient oblivious transfer and extensions for faster secure computation
8. Deep Learning with Differential Privacy
9. Membership Inference Attacks Against Machine Learning Models
10. ABY3: A Mixed Protocol Framework for Machine Learning

Their papers

• Cheetah: Lean and Fast Secure Two-Party Deep Neural Network Inference (2022) — 315 citations