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researcher

Xin Liu

16 papers hereh-index 101.1k citations24 works total

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

author position
  • last author16

Across the 16 of 16 papers where every author was matched, so the position is known.

fields
  • cs.LG9
  • cs.NI3
  • cs.CR2
  • cs.CV2
same name
  • Xin Liu — 85 papers, h 33
  • Xin Liu — 54 papers, h 15
  • Xin Liu — 54 papers, h 48
  • Xin Liu — 22 papers, h 10
  • Xin Liu — 22 papers, h 14
  • Xin Liu — 20 papers, h 23

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
20182025
most citedDeep Learning for Encrypted Traffic Classification: An Overview

665 citations · 922 across the 15 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.CR2019★ 6 cited

Security of Deep Learning Methodologies: Challenges and Opportunities

Shahbaz Rezaei, Xin Liu

Despite the plethora of studies about security vulnerabilities and defenses of deep learning models, security aspects of deep learning methodologies, such as transfer learning, hav…

cs.NI2019★ 116 cited

Large-scale Mobile App Identification Using Deep Learning

Shahbaz Rezaei, Bryce Kroencke, Xin Liu

Many network services and tools (e.g. network monitors, malware-detection systems, routing and billing policy enforcement modules in ISPs) depend on identifying the type of traffic…

cs.LG2019★ 90 cited

Multitask Learning for Network Traffic Classification

Shahbaz Rezaei, Xin Liu

Traffic classification has various applications in today's Internet, from resource allocation, billing and QoS purposes in ISPs to firewall and malware detection in clients. Classi…

cs.LG2019★ 7 cited

A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning

Shahbaz Rezaei, Xin Liu

Due to insufficient training data and the high computational cost to train a deep neural network from scratch, transfer learning has been extensively used in many deep-neural-netwo…

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