NCBI PubMed Central
open access
Stacked multi-fusion CNN: an adaptive attention model for privacy preserving deepfake forensics.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Stacked multi-fusion CNN: an adaptive attention model for privacy preserving deepfake forensics#240999
- Unifying Semantic Priors and High-Frequency Traces: Enhancing V-JEPA with Mixture-of-Experts for Robust Synthetic Image Forensics#1012387
- Differential Privacy for Deep and Federated Learning: A Survey#177275
- Adversarial Deepfake Generation and an Investigation of Purification-Based Adversarial Detection#410964
- Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant#144165
Record · ID 446286
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive