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Jianting Ning

3 papers here

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

author position
  • middle author1
  • last author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CR3

identity via Semantic Scholar / OpenAlex

most citedDistributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning

6 citations · 8 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CR2021★ 2 cited

A Survey of Privacy-Preserving Techniques for Encrypted Traffic Inspection over Network Middleboxes

Geong Sen Poh, Dinil Mon Divakaran, Hoon Wei Lim +2

Middleboxes in a computer network system inspect and analyse network traffic to detect malicious communications, monitor system performance and provide operational services. Howeve…

cs.CR2020★ 6 cited

Distributed Additive Encryption and Quantization for Privacy Preserving Federated Deep Learning

Hangyu Zhu, Rui Wang, Yaochu Jin +2

Homomorphic encryption is a very useful gradient protection technique used in privacy preserving federated learning. However, existing encrypted federated learning systems need a t…

cs.CR2020

SFE-GACN: A Novel Unknown Attack Detection Method Using Intra Categories Generation in Embedding Space

Ao Liu, Yunpeng Wang, Tao Li

In the encrypted network traffic intrusion detection, deep learning based schemes have attracted lots of attention. However, in real-world scenarios, data is often insufficient (fe…

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