publications

2021

1. 

   Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations

   Chi Zhang*, Jinghan Jia*, Burhaneddin Yaman, and 4 more authors

   2021

   Bib HTML

   @inproceedings{zhang2021instabilities,
     title = {Instabilities in Conventional Multi-Coil MRI Reconstruction with Small Adversarial Perturbations},
     author = {Zhang*, Chi and Jia*, Jinghan and Yaman, Burhaneddin and Moeller, Steen and Liu, Sijia and Hong, Mingyi and Ak{\c{c}}akaya, Mehmet},
     booktitle = {2021 55th Asilomar Conference on Signals, Systems, and Computers},
     pages = {895--899},
     year = {2021},
     organization = {IEEE}
   }

2022

1. How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective

   Yimeng Zhang, Yuguang Yao, Jinghan Jia, and 4 more authors

   arXiv preprint arXiv:2203.14195 2022
2. On the Robustness of deep learning-based MRI Reconstruction to image transformations

   Jinghan Jia, Mingyi Hong, Yimeng Zhang, and 2 more authors

   arXiv preprint arXiv:2211.04930 2022

   Bib HTML Poster

   @article{jia2022robustness,
     title = {On the Robustness of deep learning-based MRI Reconstruction to image transformations},
     author = {Jia, Jinghan and Hong, Mingyi and Zhang, Yimeng and Ak{\c{c}}akaya, Mehmet and Liu, Sijia},
     journal = {arXiv preprint arXiv:2211.04930},
     year = {2022}
   }

3. 

   CLAWSAT: Towards Both Robust and Accurate Code Models

   Jinghan Jia, Shashank Srikant, Tamara Mitrovska, and 4 more authors

   2022

   Bib HTML Code

     doi = {10.48550/ARXIV.2211.11711},
     author = {Jia, Jinghan and Srikant, Shashank and Mitrovska, Tamara and Gan, Chuang and Chang, Shiyu and Liu, Sijia and O'Reilly, Una-May},
     keywords = {Machine Learning (cs.LG), Programming Languages (cs.PL), Software Engineering (cs.SE), FOS: Computer and information sciences, FOS: Computer and information sciences},
     title = {CLAWSAT: Towards Both Robust and Accurate Code Models},
     publisher = {arXiv},
     year = {2022},
     copyright = {Creative Commons Attribution 4.0 International}
   }