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Jinghui Chen

39 papers hereh-index 14811 citations46 works total

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

author position
  • middle author20
  • last author19

Across the 39 of 39 papers where every author was matched, so the position is known.

fields
  • cs.LG16
  • cs.CR10
  • cs.CL7
  • cs.AI3
  • cs.CV3
same name
  • Jinghui Chen — 20 papers, h 21
  • Jinghui Chen — 6 papers, h 4

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
20202026
most citedVLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models

8 citations · 29 across the 37 of their papers we have counts for

collaborators
Showing 2025 · cs.CRShow all

4 papers · 2 filters

cs.CR2025

TASO: Jailbreak LLMs via Alternative Template and Suffix Optimization

Yanting Wang, Runpeng Geng, Jinghui Chen +2

Many recent studies showed that LLMs are vulnerable to jailbreak attacks, where an attacker can perturb the input of an LLM to induce it to generate an output for a harmful questio…

cs.CR2025

You Can't Steal Nothing: Mitigating Prompt Leakages in LLMs via System Vectors

Bochuan Cao, Changjiang Li, Yuanpu Cao +3

Large language models (LLMs) have been widely adopted across various applications, leveraging customized system prompts for diverse tasks. Facing potential system prompt leakage ri…

cs.CR2025

Your Agent Can Defend Itself against Backdoor Attacks

Li Changjiang, Liang Jiacheng, Cao Bochuan +2

Despite their growing adoption across domains, large language model (LLM)-powered agents face significant security risks from backdoor attacks during training and fine-tuning. Thes…

cs.CR2025

Towards Robust Multimodal Large Language Models Against Jailbreak Attacks

Ziyi Yin, Yuanpu Cao, Han Liu +3

While multimodal large language models (MLLMs) have achieved remarkable success in recent advancements, their susceptibility to jailbreak attacks has come to light. In such attacks…

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