Name
Abstract | ||
|---|---|---|
Collectors of confldential data, such as governmental agencies, hospitals, or search engine providers, can be pressured to permit data to be used for purposes other than that for which they were collected. To support the data curators, we initiate a study of pan-private algorithms; roughly speaking, these algorithms retain their privacy properties even if their internal state becomes visible to an adversary. Our principal focus is on streaming algorithms. |
Year | Venue | Keywords |
|---|---|---|
2010 | I4CS | streaming algorithms,differential privacy,pan privacy,streaming algorithm,search engine |
Field | DocType | Citations |
World Wide Web,Geodetic datum,Search engine,Confidentiality,Streaming algorithm,Computer security,Computer science,Real-time computing,Adversary | Conference | 30 |
PageRank | References | Authors |
2.66 | 13 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cynthia Dwork | 1 | 9137 | 821.87 |
| Moni Naor | 2 | 12948 | 1311.21 |
| Toniann Pitassi | 3 | 2282 | 155.18 |
| Guy N. Rothblum | 4 | 1383 | 74.86 |
| Sergey Yekhanin | 5 | 983 | 52.33 |
| Santiago Zanella Beguelin | 6 | 6073 | 475.81 |