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#laplace-approximation News & Analysis

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

2 articles
AIBearisharXiv – CS AI · Jun 17/10
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How does Bayesian Sampling help Membership Inference Attacks?

Researchers propose Bayesian Membership Inference Attacks (BMIA), a novel method that uses Bayesian sampling and Laplace approximation to detect whether specific data points were used in model training. The approach significantly reduces computational overhead compared to existing methods while achieving state-of-the-art attack performance across image, text, and tabular datasets.

AINeutralarXiv – CS AI · Jun 46/10
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Instance-Level Post Hoc Uncertainty Quantification in Object Detection

Researchers propose MC-GLM, a novel method for quantifying uncertainty in object detection predictions without model retraining, using Laplace approximation and Monte Carlo sampling. The technique enables efficient, instance-level uncertainty estimates critical for autonomous driving safety, validated on the nuScenes dataset with CenterPoint detector.