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Jianwei Wang

8 papers hereh-index 4117 citations10 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author4

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CR4
same name
  • Jianwei Wang — 18 papers, h 5
  • Jianwei Wang — 11 papers, h 26
  • Jianwei Wang — 3 papers
  • Jianwei Wang — 2 papers, h 2
  • Jianwei Wang — 2 papers, h 8
  • Jianwei Wang — 2 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2026

FreoStream:Enhancing Stream Guardrails via Future-Aware Reasoning and Safety-Aligned Optimization

Jianwei Wang, Guoyang Shen, Yanhong Wu +5

Stream guardrails enable token-level safety detection before full responses are generated. However, they often make overly conservative judgements and block those sensitive but saf…

cs.CR2026

Evolving Skill-Structured Attack Memory Enhances LLM Jailbreaking

Junke Zhang, Jianwei Wang, Sishuo Chen +3

Jailbreak attacks on large language models (LLMs) aim to induce LLMs to produce content that they are expected to refuse. Automated black-box jailbreak generation is important for…

cs.CR2025

RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis

Jianwei Wang, Chengming Shi, Junyao Yang +5

The success of large language models (LLMs) has attracted many individuals to fine-tune them for domain-specific tasks by uploading their data. However, in sensitive areas like hea…

cs.CR2024

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration

Ziqian Zeng, Jianwei Wang, Junyao Yang +4

The widespread usage of online Large Language Models (LLMs) inference services has raised significant privacy concerns about the potential exposure of private information in user i…

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