Simple character-level perturbations (English) and homophone substitutions (Chinese), combined with LLM instruction-following prompts directing the model to use word substitutions in its output, successfully bypassed all input and output filters for all 41 input-blocked and 197 output-blocked queries across five major Chinese LLM services (Baidu-Chat, DeepSeek, Doubao, Kimi, Qwen). Every input-blocked query contained at least one keyword combination that alone triggered the filter, confirming keyword-matching rather than semantic classification.
From 2026-ablove-characterizing — Characterizing the Implementation of Censorship Policies in Chinese LLM Services
· §VII-D
· 2026
· Network and Distributed System Security
Implications
Automated query rewriting with character-level noise (typos, homoglyphs, homophones) is sufficient to bypass all tested Chinese LLM input filters — circumvention tools should implement a lightweight perturbation layer before forwarding queries.
Output filters can be evaded by injecting instruction-following prompts that ask the LLM to substitute sensitive terms in its responses; this is a viable defense for tools that pre-process user queries before sending to Chinese LLM APIs.