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Deqing Zou

6 papers hereh-index 377k citations286 works total

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

author position
  • middle author5

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.LG1
  • cs.SE1
same name
  • Deqing Zou — 9 papers, h 4
  • Deqing Zou — 3 papers, h 3
  • Deqing Zou — 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
20182023
most citedSySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities

634 citations · 860 across the 6 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2021★ 3 cited

Towards Making Deep Learning-based Vulnerability Detectors Robust

Zhen Li, Jing Tang, Deqing Zou +5

Automatically detecting software vulnerabilities in source code is an important problem that has attracted much attention. In particular, deep learning-based vulnerability detector…

cs.CR2021

HomDroid: Detecting Android Covert Malware by Social-Network Homophily Analysis

Yueming Wu, Deqing Zou, Wei Yang +2

Android has become the most popular mobile operating system. Correspondingly, an increasing number of Android malware has been developed and spread to steal users' private informat…

cs.CR2021★ 7 cited

Contrastive Learning for Robust Android Malware Familial Classification

Yueming Wu, Shihan Dou, Deqing Zou +3

Due to its open-source nature, Android operating system has been the main target of attackers to exploit. Malware creators always perform different code obfuscations on their apps…

cs.CR2020★ 216 cited

VulDeeLocator: A Deep Learning-based Fine-grained Vulnerability Detector

Zhen Li, Deqing Zou, Shouhuai Xu +3

Automatically detecting software vulnerabilities is an important problem that has attracted much attention from the academic research community. However, existing vulnerability det…

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