AINeutralarXiv – CS AI · 3h ago5/10
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REED: Post-Training Representation Editing for Cross-Domain Linguistic Steganalysis
Researchers propose REED, a post-training representation editing method that improves linguistic steganalysis detection across different domains without modifying model architecture or updating parameters. The technique uses domain-offset vectors and source-domain cover-to-stego directions to adapt detectors to unseen domains with different vocabularies and writing styles.