Oct. 11, 2022, 1:13 a.m. | Mohammad Ismail Daud

cs.LG updates on arXiv.org arxiv.org

Current content filtering and blocking methods are susceptible to various
circumvention techniques and are relatively slow in dealing with new threats.
This is due to these methods using shallow pattern recognition that is based on
regular expression rules found in crowdsourced block lists. We propose a novel
system that aims to remedy the aforementioned issues by examining deep textual
patterns of network-oriented content relating to the domain being interacted
with. Moreover, we propose to use federated learning that allows users …

arxiv blocking collaborative nlp

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