Stratis Ioannidis


Recent Publications

SparCL: Sparse Continual Learning on the Edge
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, and Jennifer Dy. NeurIPS, 2022.

Pruning Adversarially Robust Neural Networks without Adversarial Examples
Tong Jian, Zifeng Wang, Jennifer Dy, Yanzhi Wang, and Stratis Ioannidis. ICDM, 2022.

Explanations of Black-Box Models based on Directional Feature Interactions
Aria Masoomi, Davin Hill, Zhonghui Xu, Craig P Hersh, Edwin K. Silverman, Peter J. Castaldi, Stratis Ioannidis, and Jennifer Dy. ICLR, 2022. [code]

Differentially Private Regression with Unbounded Covariates
Jason Milionis, Alkis Kalavasis, Dimitris Fotakis, and Stratis Ioannidis. AISTATS, 2022.

Online Caching Networks with Adversarial Guarantees
Yuanyuan Li, Tareq Si-Salem, Giovanni Neglia, and Stratis Ioannidis. SIGMETRICS, 2022. [code]

Research Interests

  • Machine Learning
  • Distributed Systems
  • Networking
  • Privacy

Technical Program Commitees

  • NeurIPS (2017-2021), ICML (2017-2021),
  • INFOCOM (2014-2021), ACM MobiHoc (2016–2021)


News and research highlights, google scholar profile, patents granted and pending. If you are interested in pursuing a Ph.D. in machine learning, distributed systems, or privacy, please feel free to reach out to ioannidis@ece.neu.edu.

Our research is generously supported by the National Science Foundation via the NSF AI Institute for Future Edge Networks and Distributed Intelligence (AI-EDGE), a CAREER award CCF-1750539 and grants CNS 2107062, CCF-1937500, IIS-1741197, IIS-1622536, NeTS-1718355, and CNS-1717213, by the Defence Advanced Research Projects Agency, as well as by a Google Faculty Research Award and a Facebook Research Award.