Standout Papers

CryptoNets: applying neural networks to encrypted data with high throughput and accuracy 2016 2026 2019 2022 491
  1. CryptoNets: applying neural networks to encrypted data with high throughput and accuracy (2016)
    Nathan Dowlin, Ran Gilad-Bachrach et al. International Conference on Machine Learning

Immediate Impact

1 from Science/Nature 89 standout
Sub-graph 1 of 21

Citing Papers

Panther: Practical Secure Two-Party Neural Network Inference
2025 Standout
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
2024 Standout
2 intermediate papers

Works of Michael Naehrig being referenced

CryptoNets: applying neural networks to encrypted data with high throughput and accuracy
2016 Standout

Author Peers

Author Last Decade Papers Cites
Michael Naehrig 860 266 18 172 14 984
Michael Zohner 675 158 3 55 11 746
Hongyun Cai 728 176 3 163 4 1.0k
Shai Halevi 772 431 11 121 28 942
Marion Neumann 547 96 5 214 13 850
Zhicheng Cui 562 99 3 196 10 885
Tanja Lange 814 446 41 197 41 1.0k
Xu Sun 766 186 256 52 1.1k
Huan Zhao 563 497 1 148 32 896
Yu Xue 411 107 2 156 20 798
Nagarajan Natarajan 374 62 1 115 41 873

All Works

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2026