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Minghui Li

30 papers hereh-index 12360 citations40 works total

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

author position
  • first author4
  • middle author24
  • last author1

Across the 29 of 30 papers where every author was matched, so the position is known.

fields
  • cs.CV16
  • cs.LG6
  • cs.CR4
  • cs.AI2
  • cs.CY1
  • cs.RO1
same name
  • Minghui Li — 10 papers, h 17
  • Minghui Li — 6 papers, h 3
  • Minghui Li — 2 papers, h 1
  • Minghui Li — 2 papers, h 2
  • Minghui Li — 2 papers, h 2
  • Minghui Li — 2 papers, h 6

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
20232026
most citedTransferable Adversarial Facial Images for Privacy Protection

2 citations · 6 across the 29 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2026

Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics

Hangtao Zhang, Yucheng Zhao, Sishun Liu +8

Jailbreak prompts can bypass alignment guardrails in large language models (LLMs) and elicit unsafe outputs, making reliable deployment-time detection critical. Prior detection app…

cs.CR2026

UnlearnShield: Shielding Forgotten Privacy against Unlearning Inversion

Lulu Xue, Shengshan Hu, Wei Lu +6

Machine unlearning is an emerging technique that aims to remove the influence of specific data from trained models, thereby enhancing privacy protection. However, recent research h…

cs.CR2025

Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM

Lei Yu, Yechao Zhang, Ziqi Zhou +6

With the rapid development of the Vision-Language Model (VLM), significant progress has been made in Visual Question Answering (VQA) tasks. However, existing VLM often generate ina…

cs.CR2024★ 1 cited

DarkFed: A Data-Free Backdoor Attack in Federated Learning

Minghui Li, Wei Wan, Yuxuan Ning +4

Federated learning (FL) has been demonstrated to be susceptible to backdoor attacks. However, existing academic studies on FL backdoor attacks rely on a high proportion of real cli…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.