TraceCodec is a compiler-backed neural codec that lifts packets to state-aware action latents for high-fidelity multi-flow trace generation, matching real traces within 0.03% on CICIDS2017.
Wang and Binh P
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Context-conditioned normalizing flows refine subnational survey distributions under severe data scarcity when conditioning covariates capture local heterogeneity.
citing papers explorer
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TraceCodec: A Compiler-Backed Neural Codec for Stateful Multi-Flow Network Traffic Traces
TraceCodec is a compiler-backed neural codec that lifts packets to state-aware action latents for high-fidelity multi-flow trace generation, matching real traces within 0.03% on CICIDS2017.
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Context-Conditioned Generative Models Enable Subnational Refinement of Sparse Humanitarian Surveys
Context-conditioned normalizing flows refine subnational survey distributions under severe data scarcity when conditioning covariates capture local heterogeneity.