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Zhonghao Sun

2 accepted papers

2026

WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety

AAAI 2026technical

Large language models (LLMs) may generate harmful outputs on malicious inputs. Existing safety methods, including prompt engineering and model editing, rely on hand-crafted templates or target-driven parameter modifications, limiting their generalizability in unseen harmful scenarios. Post-training

Cited by 0SourcePDFScholar
2025

DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation

ACL 2025finding

Using large language models (LLMs) has a potential risk of privacy leakage since the data with sensitive information may be used for fine-tuning the LLMs. Differential privacy (DP) provides theoretical guarantees of privacy protection, but its practical application in LLMs still has the problem of p…