Introduces SopriBench benchmark and Argus agentic framework for user-level multimodal privacy leakage inference, reporting 0.55 PES with 25% improvement over baselines.
Client-side gradient inversion against federated learning from poisoning,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CR 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
What Your Posts Reveal: A Benchmark and Agentic Framework for User-Level Privacy Leakage on Social Media
Introduces SopriBench benchmark and Argus agentic framework for user-level multimodal privacy leakage inference, reporting 0.55 PES with 25% improvement over baselines.