Please use this identifier to cite or link to this item:
https://doi.org/10.1109/sp46214.2022.9833722
| DC Field | Value | |
|---|---|---|
| dc.title | Surakav: Generating Realistic Traces for a Strong Website Fingerprinting Defense | |
| dc.contributor.author | Gong, Jiajun | |
| dc.contributor.author | Zhang, Wuqi | |
| dc.contributor.author | Zhang, Charles | |
| dc.contributor.author | Wang, Tao | |
| dc.date.accessioned | 2023-06-14T06:01:06Z | |
| dc.date.available | 2023-06-14T06:01:06Z | |
| dc.date.issued | 2022-05 | |
| dc.identifier.citation | Gong, Jiajun, Zhang, Wuqi, Zhang, Charles, Wang, Tao (2022-05). Surakav: Generating Realistic Traces for a Strong Website Fingerprinting Defense. 2022 IEEE Symposium on Security and Privacy (SP). ScholarBank@NUS Repository. https://doi.org/10.1109/sp46214.2022.9833722 | |
| dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/241954 | |
| dc.publisher | IEEE | |
| dc.source | Elements | |
| dc.type | Conference Paper | |
| dc.date.updated | 2023-06-06T02:20:18Z | |
| dc.contributor.department | DEPARTMENT OF COMPUTER SCIENCE | |
| dc.description.doi | 10.1109/sp46214.2022.9833722 | |
| dc.description.sourcetitle | 2022 IEEE Symposium on Security and Privacy (SP) | |
| dc.published.state | Published | |
| Appears in Collections: | Elements Staff Publications | |
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| File | Description | Size | Format | Access Settings | Version | |
|---|---|---|---|---|---|---|
| main.pdf | Published version | 2.69 MB | Adobe PDF | OPEN | Post-print | View/Download |
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