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#model-privacy News & Analysis

2 articles tagged with #model-privacy. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AIBearisharXiv – CS AI · Mar 97/10
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Window-based Membership Inference Attacks Against Fine-tuned Large Language Models

Researchers developed WBC (Window-Based Comparison), a new membership inference attack method that significantly outperforms existing approaches by analyzing localized patterns in Large Language Models rather than global signals. The technique achieves 2-3 times better detection rates and exposes critical privacy vulnerabilities in fine-tuned LLMs through sliding window analysis and binary voting mechanisms.

AINeutralarXiv – CS AI · Apr 156/10
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Orthogonal Subspace Projection for Continual Machine Unlearning via SVD-Based LoRA

Researchers propose an SVD-based orthogonal subspace projection method for continual machine unlearning that prevents interference between sequential deletion tasks in neural networks. The approach maintains model performance on retained data while effectively removing influence of unlearned data, addressing a critical limitation of naive LoRA fusion methods.