Mobius Injection exploits semantic closure in LLM agents to enable single-message AbO-DDoS attacks achieving up to 51x call amplification and 229x latency inflation.
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A Generative Flow Network framework with experience replay, exploratory policy, and physics masking samples ray paths for radio propagation up to 100x faster than exhaustive search on idealized scenarios.
Coarsening smart meter load profile granularity produces two performance plateaus in socio-demographic inference (15 min–1 h and 1–7 days), enabling data minimization strategies that preserve some predictive utility.
A survey that identifies smart grid use cases such as distributed voltage control and fault detection, quantifies their performance needs, and describes relevant 5G/6G capabilities including network slicing and edge computing.
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Transform-Invariant Generative Ray Path Sampling for Efficient Radio Propagation Modeling
A Generative Flow Network framework with experience replay, exploratory policy, and physics masking samples ray paths for radio propagation up to 100x faster than exhaustive search on idealized scenarios.
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The Impact of Temporal Granularity on Socio-Demographic Inference from Household Load Profiles
Coarsening smart meter load profile granularity produces two performance plateaus in socio-demographic inference (15 min–1 h and 1–7 days), enabling data minimization strategies that preserve some predictive utility.