NETAML Workshop 2020

1st Workshop on Network Traffic Analytics using Machine Learning (NETAML)

A workshop and challenge co-located with IJCAI 2020 in Yokohama, Japan

Date: Jan 7, 2021

Join Challenge Call for Papers



1st Workshop on Network Traffic Analytics using Machine Learning

IJCAI 2020

NETAML Workshop

The NETAML 2020 workshop aims to provide a venue for the community to present and discuss the latest advances in traffic analysis, with an emphasis on novel machine learning based approaches. Given the expertise from IJCAI-PRICAI20 attendees, we see this an excellent opportunity for networking researchers to interact with ML/AI community to foster new knowledges and advance the state of art. We expect to have papers contributed by researchers and practitioners, as well as invited talks by distinguished experts. In particular, we will organize a competition (NetAML Competition, sponsored by Intel Corp., pending approvals) at IJCAI- PRICAI20 on machine learning based traffic analytics before the deadline of the workshop submission, and encourage participants of the competition to submit papers to and present their results at the NETAML workshop. We hope this workshop will catalyze the research and development of novel methods for network traffic analytics with rich datasets, vigorous discussions, new directions and fruitful collaborations.

Relevant Topics/Areas

Machine/Deep Learning

  • Traffic analysis using machine learning methods
  • Malware detection using machine learning methods
  • Deep learning based traffic analytics

Network Security

  • Encrypted traffic analysis
  • Privacy preserving traffic analysis

Benchmarking & Datasets

  • Benchmarking and datasets for traffic analysis
  • Platforms and environments enabling realistic traffic capturing and analysis

Edge Networks

  • Real-time traffic analytics in uCPE and SD-WAN
  • Traffic analysis in embedded systems with limited computing and memory resources


  • Hardware and software solutions for accelerated, high throughput traffic analytics


  • Other interesting topics on network traffic analytics


PC Co-chairs:

  • Yan Luo, University of Massachusetts Lowell, USA
  • Tong Zhang, Intel Corporation. USA

Web Chair

PC Members (in alphabetical order):


  • 1 Chome-1-1 Minatomirai, Yokohama, Kanagawa 2200012
  • Ask the receptionist when arrived at the building