Scholar
Fnu Suya
Google Scholar ID: OmLIG8EAAAAJ
University of Tennessee, Knoxville
Citations & Impact
Citations
423
H-index
8
i10-index
8
Publications
20
Co-authors
36
list available
Publications
Resume (English only)
Academic Achievements
- - Published 'SoK: Pitfalls in Evaluating Black-Box Attacks' in IEEE SaTML 2024
- - Published 'What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?' in NeurIPS 2023
- - Published 'Manipulating Transfer Learning for Property Inference' in CVPR 2023
- - Won Best Paper Award for 'Poisoning Attacks and Subpopulation Susceptibility' in VISxAI 2022
- - Published 'Stealthy Backdoors as Compression Artifacts' in TIFS 2022
- - Published 'Model-Targeted Poisoning Attacks with Provable Convergence' in ICML 2021
- - Published 'Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries' in Usenix Security 2020
Research Experience
- - MC2 Postdoctoral Fellow, University of Maryland, College Park, Oct 2023 – Present
- - Graduate Research Assistant, University of Virginia, Aug 2017 – Aug 2023
- - Interim Engineering Intern, Qualcomm AI Research, May 2021 – Aug 2021
- - Applied Scientist Intern, Amazon Web Services, Jan 2021 – Apr 2021
- - Research Intern, Bosch AI Center, Jun 2020 – Aug 2020
Education
- Ph.D. in Computer Science from the University of Virginia, advised by Prof. David Evans and Prof. Yuan Tian; B.Eng. (Honors) in Electrical Engineering from China Agricultural University.
Background
- Research interests: Trustworthy machine learning, machine learning for security, especially in malicious training environments. Currently, an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville.
Miscellany
- Looking for self-motivated students to work on trustworthy machine learning and machine learning for security.
