The PROMPT framework formalizes privacy risks and mitigations in propaganda detection with a utility function and compliance score, backed by analysis of 162 studies and experiments showing 1-14% F1 drops under synthetic perturbations.
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ALPINE deploys an offline-trained TD3 policy on terminal devices to map multi-dimensional risk states to adaptive privacy budgets for local differential privacy in mobile edge crowdsensing, with edge feedback closing the loop.
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SoK: Analysis of Privacy Risks and Mitigation in Online Propaganda Detection through the PROMPT Framework
The PROMPT framework formalizes privacy risks and mitigations in propaganda detection with a utility function and compliance score, backed by analysis of 162 studies and experiments showing 1-14% F1 drops under synthetic perturbations.
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ALPINE: Closed-Loop Adaptive Privacy Budget Allocation for Mobile Edge Crowdsensing
ALPINE deploys an offline-trained TD3 policy on terminal devices to map multi-dimensional risk states to adaptive privacy budgets for local differential privacy in mobile edge crowdsensing, with edge feedback closing the loop.