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Ronghua Li

7 papers hereh-index 456 citations11 works total

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

author position
  • first author1
  • middle author5
  • last author1

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.AI1
  • cs.LG1
  • cs.NI1
same name
  • Ronghua Li — 71 papers, h 7
  • Ronghua Li — 22 papers, h 9
  • Ronghua Li — 16 papers, h 29
  • Ronghua Li — 5 papers, h 5

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

Can a Single Message Paralyze the AI Infrastructure? The Rise of AbO-DDoS Attacks through Targeted Mobius Injection

Zi Liang, Ronghua Li, Yanyun Wang +2

Large Language Model (LLM) agents have emerged as key intermediaries, orchestrating complex interactions between human users and a wide range of digital services and LLM infrastruc…

cs.CR2025

Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks

Yaxin Xiao, Qingqing Ye, Zi Liang +4

Machine learning models constitute valuable intellectual property, yet remain vulnerable to model extraction attacks (MEA), where adversaries replicate their functionality through…

cs.CR2025

WiFinger: Fingerprinting Noisy IoT Event Traffic Using Packet-level Sequence Matching

Ronghua Li, Shinan Liu, Haibo Hu +2

IoT environments such as smart homes are susceptible to privacy inference attacks, where attackers can analyze patterns of encrypted network traffic to infer the state of devices a…

cs.CR2024

"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation

Zi Liang, Qingqing Ye, Yanyun Wang +5

Model extraction attacks (MEAs) on large language models (LLMs) have received increasing attention in recent research. However, existing attack methods typically adapt the extracti…

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