Standout Papers
- CryptoNets: applying neural networks to encrypted data with high throughput and accuracy (2016)
Immediate Impact
1 from Science/Nature 72 standout
Citing Papers
A survey on large language model (LLM) security and privacy: The Good, The Bad, and The Ugly
2024 Standout
AI revolutionizing industries worldwide: A comprehensive overview of its diverse applications
2024 Standout
Works of Nathan Dowlin being referenced
CryptoNets: applying neural networks to encrypted data with high throughput and accuracy
2016 Standout
Author Peers
| Author | Last Decade | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|
| Nathan Dowlin | 3 | 5 | 113 | 465 | 84 | 4 | 536 | |
| John Wernsing | 2 | 130 | 488 | 127 | 6 | 634 | ||
| Nico Schlaefer | 60 | 449 | 129 | 5 | 597 | |||
| Yongsoo Song | 63 | 438 | 96 | 11 | 536 | |||
| David J. Wu | 119 | 343 | 72 | 15 | 567 | |||
| Daniel Demmler | 2 | 43 | 429 | 132 | 14 | 507 | ||
| Kevin Thompson | 70 | 393 | 153 | 7 | 609 | |||
| Saúl Solorio-Fernández | 1 | 190 | 337 | 59 | 7 | 593 | ||
| Sergio Gómez Colmenarejo | 136 | 377 | 25 | 6 | 602 | |||
| Gavin O'Brien | 3 | 142 | 365 | 192 | 3 | 616 | ||
| Bahman Bahmani | 5 | 156 | 296 | 120 | 6 | 511 |
All Works
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