Steganalysis based on transfer learning
In practice, when the training set and testing set are mismatched, performance of steganalysis can not be guaranteed. The transfer learning aims at using the knowledge learned from one domain to help complete the learn-ing task in the new domain, and does not require the same distribution assumption...
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| Format: | Article |
| Language: | English |
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POSTS&TELECOM PRESS Co., LTD
2017-01-01
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| Series: | 网络与信息安全学报 |
| Subjects: | |
| Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00116 |
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| _version_ | 1841530312225456128 |
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| author | Deng-pan YE Fang-fang MA Yuan MEI |
| author_facet | Deng-pan YE Fang-fang MA Yuan MEI |
| author_sort | Deng-pan YE |
| collection | DOAJ |
| description | In practice, when the training set and testing set are mismatched, performance of steganalysis can not be guaranteed. The transfer learning aims at using the knowledge learned from one domain to help complete the learn-ing task in the new domain, and does not require the same distribution assumption. A more comprehensive review of mismatched steganography research status was made and the mismatch factors were analyzed. Methods on in-stance-based transfer learning were presented to solve the test mismatch problem during the steganography detections. |
| format | Article |
| id | doaj-art-a896e930a8454663aab2e6ccd1d723a9 |
| institution | Kabale University |
| issn | 2096-109X |
| language | English |
| publishDate | 2017-01-01 |
| publisher | POSTS&TELECOM PRESS Co., LTD |
| record_format | Article |
| series | 网络与信息安全学报 |
| spelling | doaj-art-a896e930a8454663aab2e6ccd1d723a92025-01-15T03:05:27ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2017-01-013233059549449Steganalysis based on transfer learningDeng-pan YEFang-fang MAYuan MEIIn practice, when the training set and testing set are mismatched, performance of steganalysis can not be guaranteed. The transfer learning aims at using the knowledge learned from one domain to help complete the learn-ing task in the new domain, and does not require the same distribution assumption. A more comprehensive review of mismatched steganography research status was made and the mismatch factors were analyzed. Methods on in-stance-based transfer learning were presented to solve the test mismatch problem during the steganography detections.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00116steganographytransfer learningbased on instance |
| spellingShingle | Deng-pan YE Fang-fang MA Yuan MEI Steganalysis based on transfer learning 网络与信息安全学报 steganography transfer learning based on instance |
| title | Steganalysis based on transfer learning |
| title_full | Steganalysis based on transfer learning |
| title_fullStr | Steganalysis based on transfer learning |
| title_full_unstemmed | Steganalysis based on transfer learning |
| title_short | Steganalysis based on transfer learning |
| title_sort | steganalysis based on transfer learning |
| topic | steganography transfer learning based on instance |
| url | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2017.00116 |
| work_keys_str_mv | AT dengpanye steganalysisbasedontransferlearning AT fangfangma steganalysisbasedontransferlearning AT yuanmei steganalysisbasedontransferlearning |