| Title | VeriTrain: Validating MLaaS Training Efforts via Anomaly Detection |
| Author | |
| Publication Years | 2023
|
| DOI | |
| Source Title | |
| ISSN | 2160-9209
|
| Volume | PPIssue:99Pages:1-17 |
| Keywords | |
| URL | [Source Record] |
| SUSTech Authorship | Others
|
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10100880 |
| Citation statistics |
Cited Times [WOS]:0
|
| Document Type | Journal Article |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/531324 |
| Department | Research Institute of Trustworthy Autonomous Systems 工学院_计算机科学与工程系 |
| Affiliation | 1.George Mason University, USA 2.CISPA Helmholtz Center for Information Security, Germany 3.Research Institute of Trustworthy Autonomous Systems and Department of Computer Science and Engineering, Southern University of Science and Technology, China |
| Recommended Citation GB/T 7714 |
Xiaokuan Zhang,Yang Zhang,Yinqian Zhang. VeriTrain: Validating MLaaS Training Efforts via Anomaly Detection[J]. IEEE Transactions on Dependable and Secure Computing,2023,PP(99):1-17.
|
| APA |
Xiaokuan Zhang,Yang Zhang,&Yinqian Zhang.(2023).VeriTrain: Validating MLaaS Training Efforts via Anomaly Detection.IEEE Transactions on Dependable and Secure Computing,PP(99),1-17.
|
| MLA |
Xiaokuan Zhang,et al."VeriTrain: Validating MLaaS Training Efforts via Anomaly Detection".IEEE Transactions on Dependable and Secure Computing PP.99(2023):1-17.
|
| Files in This Item: | There are no files associated with this item. | |||||
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