Research on Fine-Grained Recognition Method for Sensitive Information in Social Networks Based on CLIP
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Abstract
With the emergence and development of social networks, people can stay in touch with friends, family, and colleagues more quickly and conveniently, regardless of their location. This ubiquitous digital internet environment ha... | Find, read and cite all the research you need on Tech Science Press
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OpenAlex topics: Advanced Computing and Algorithms
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References (27)
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1. Towards consensus-based group decision making for co-owned data sharing in online social networks10.1109/ACCESS.2020.2994408 ↗
2. Collaborative privacy management in P2P online social networks
3. Implementing a privacy-enhanced attribute-based credential system for online social networks with co-ownership management10.1049/iet-ifs.2014.0466 ↗
4. A privacy-dependent condition-based privacy-preserving information sharing scheme in online social networks10.1016/j.comcom.2023.01.010 ↗
5. On-the-fly privacy for location histograms10.1109/TDSC.2020.2980270 ↗
6. Location-sharing protocol for privacy protection in mobile online social networks10.1186/s13638-021-01999-z ↗
7. Research on sensitive content detection in social networks10.1007/s42045-019-00021-x ↗
8. Utility-preserving privacy protection of textual documents via word embeddings
9. Towards an automatic detection of sensitive information in Mongo database intelligent systems design and applications
10. KGDetector: Detecting chinese sensitive information via knowledge graph-enhanced BERT
11. A. Mehdi et al., “A brief survey of text mining: Classification, clustering and extraction techniques,” 2017, arXiv:1707.02919.
12. J. Y. Hou, “Research on deep learning-based detection technology for sensitive text information in scene images,” (in Chinese), North University, China, 2021. doi: 10.27470/d.cnki.ghbgc.2021.001033.
13. W. Y. Li, “Research and application of detection technology for sensitive information in images based on global feature elements,” (in Chinese), University of Chinese Academy of Sciences (Institute of Computing Technology, Chinese Academy of Sciences, Shenyang), China, 2022. doi: 10.27587/d.cnki.gksjs.2022.000019.
14. Image privacy prediction using deep neural networks10.1145/3386082 ↗
15. Anti-leakage method of network sensitive information data based on homomorphic encryption
16. Knowledge & learning-based adaptable system for sensitive information identification and handling
17. Sensitive image information recognition model of network community based on content text
18. A lightweight image sensitive information detection model based on yolov5s
19. MM-DFN: Multimodal dynamic fusion network for emotion recognition in conversations
20. Multimodal sentiment analysis using multi-tensor fusion network with cross-modal modeling10.1080/08839514.2021.2000688 ↗
21. Improving multimodal fusion with Main Modal Transformer for emotion recognition in conversation10.1016/j.knosys.2022.109978 ↗
22. Adaptive sensitive information recognition based on multimodal information inference in social networks10.1155/2023/5627246 ↗
23. Checking only when it is necessary: Enabling integrity auditing based on the keyword with sensitive information privacy for encrypted cloud data10.1109/TDSC.2021.3106780 ↗
24. Predicting implicit user preferences with multimodal feature fusion for similar user recommendation in social media
25. Visual relationship detection with multimodal fusion and reasoning10.3390/s22207918 ↗
26. M. Zhang and R. Chunara, “Leveraging CLIP for inferring sensitive information and improving model fairness,” 2024, arXiv:2403.10624.
27. Different data, different modalities! reinforced data splitting for effective multimodal information extraction from social media posts