Chetan Kumar

I am second-year doctoral student in Computer and Information Science at University of Massachusetts, Dartmouth, working under supervision of Dr.Ming Shao. I have completed my master’s in data science and bachelor’s in computer science. My research interests are in Machine Learning and Artifical Intelligence. Currently, I am working on semi-supervised graph based learning using deep learning.

[NEWS]

  • [04/2020] Received CIS Graduate Research Award for the year 2020 from UMass Dartmouth

  • [02/2020] Presented our paper on Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks at AAAI 2020 conference [PDF] [PPT]

  • [01/2020] Received UMass Dartmouth Provost and Graduate Student Senate (GSS) Travel Award

  • [11/2019] Received AAAI 2020 Student Travel Award

  • [11/2019] One paper has been accepted by the AAAI 2020 (acceptance rate: 20.6%, oral presentation) on Adversarial Samples for Social Good

  • [10/2019] Gave a seminar on Graph Convolutional Network (GCN) and my current research on Adversary Samples for Social Good in UMass Dartmouth

Conference Paper

  1. C. Kumar, R. Ryan and M. Shao, Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks in 2020 AAAI Conference on Artifical Intelligence, New York, USA, 2020 PPT
  2. D. Kumar, C. Kumar and M. Shao, Cross-database mammographic image analysis through unsupervised domain adaptation in 2017 IEEE International Conference on Big Data (Big Data), Boston, MA, USA, 2017 Paper PPT Code

Poster Presentation

  1. Adversary for Social Good: Protecting Familial Privacy through Joint Adversarial Attacks in AAAI 2020 Conference, New York Poster
  2. Cross-view Action Recognition via Joint Dictionary and Transfer Learning in 2018 New England Computer Vision Workshop (NECV), Boston
  3. Cross-database Mammographic Image Analysis through Unsupervised Domain Adaptation in 2017 New England Computer Vision Workshop (NECV), Boston Poster