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Chunming Wu

4 papers here

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

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.CV1
  • cs.IR1
ORCID 0000-0001-7958-9687
same name
  • Chunming Wu — 5 papers
  • Chunming Wu — 3 papers, h 21
  • Chunming Wu — 1 paper

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
20222024
most citedAdvSQLi: Generating Adversarial SQL Injections against Real-world WAF-as-a-service

35 citations · 50 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CR2024★ 15 cited

G-Fuzz: A Directed Fuzzing Framework for gVisor

Yuwei Li, Yuan Chen, Shouling Ji +6

gVisor is a Google-published application-level kernel for containers. As gVisor is lightweight and has sound isolation, it has been widely used in many IT enterprises \cite{Stripe,…

cs.CR2024★ 35 cited

AdvSQLi: Generating Adversarial SQL Injections against Real-world WAF-as-a-service

Zhenqing Qu, Xiang Ling, Ting Wang +3

As the first defensive layer that attacks would hit, the web application firewall (WAF) plays an indispensable role in defending against malicious web attacks like SQL injection (S…

cs.IR2023

Self-Supervised Interest Transfer Network via Prototypical Contrastive Learning for Recommendation

Guoqiang Sun, Yibin Shen, Sijin Zhou +6

Cross-domain recommendation has attracted increasing attention from industry and academia recently. However, most existing methods do not exploit the interest invariance between do…

cs.CV2022

Towards the Desirable Decision Boundary by Moderate-Margin Adversarial Training

Xiaoyu Liang, Yaguan Qian, Jianchang Huang +4

Adversarial training, as one of the most effective defense methods against adversarial attacks, tends to learn an inclusive decision boundary to increase the robustness of deep lea…

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