Fnu Suya

PhD Candidate fs5xz[at]virginia.edu

Computer Science Department University of Virginia

About Me

I obtained my PhD degree at the Computer Science department of the University of Virginia. My advisors are Prof. David Evans and Prof. Yuan Tian. I am interested in studying the trustworthy aspects of machine learning models under contaminated data/model.

I am joining MC2, UMD as a Post-Doctoral Associate in September 2023, working with Prof. Tudor Dumitraș.

Interests

Adversarial Machine Learning
Machine Learning Privacy

Education

PhD in Computer Science, 2017 - Present
University of Virginia
PhD in Computer Science, 2015 - 2017
Arizona State University
BEng in Eletronic Engineering, 2010 - 2014
China Agricultural University

Publications

Poisoning Attacks and Subpopulation Susceptibility

Evan Rose, Fnu Suya, David Evans. The 5th Workshop on Visualization for AI Explainability (VISxAI workshop 2022, Best Paper).

PDF Code

Stealthy Backdoors as Compression Artifacts

Yulong Tian, Fnu Suya, Fengyuan Xu, David Evans. IEEE Transactions on Information Forensics and Security (TIFS), 2022.

PDF Code

Model-Targeted Poisoning Attacks with Provable Convergence

Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian. The Thirty-eighth International Conference on Machine Learning (ICML 2021)

PDF Code

Scalable Attack on Graph Data by Injecting Vicious Nodes

Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng. Proceedings of The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2020 (ECML-PKDD 2020).

PDF Code

Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries

Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian. The 29th Usenix Security Symposium (Usenix Security 2020).

PDF Code

Manipulating Transfer Learning for Property Inference

Yulong Tian, Fnu Suya, Anshuman Suri, Fengyuan Xu, David Evans. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2023 (CVPR 2023).

PDF Code

Demystifying Hidden Privacy Settings in Mobile Apps

Yi Chen, Mingming Zha, Nan Zhang, Dandan Xu, Qianqian Zhao, Xuan Feng, Kan Yuan, Fnu Suya, Yuan Tian, Kai Chen, XiaoFeng Wang, Wei Zou. The 40th IEEE Symposium on Security and Privacy (IEEE S&P 2019)

PDF

Poster: Adversaries Don’t Care About Averages: Batch Attacks on Black-Box Classifiers

Fnu Suya, David Evans, Yuan Tian. The 39th IEEE Symposium on Security and Privacy (IEEE S&P 2018).

PDF

Query-limited Black-box Attacks to Classifiers

Fnu Suya, David Evans, Yuan Tian, Paolo Papotti. N(eur)IPS Workshop on Machine Learning and Computer Security (MLSec 2017).

PDF Code

Optimal Stochastic Power Control with Compressive CSI Acquisition for Cloud-RAN

Fnu Suya, Yuanming Shi, Bo Bai, Wei Chen, Jun Zhang, Khaled B. Letaief, Shidong Zhou. IEEE Global Conference on Signal and Information Processing 2016 (GlobalSIP 2016).

PDF

Fnu Suya

PhD Candidate fs5xz[at]virginia.edu

Computer Science Department University of Virginia

About Me

Interests

Education

Publications

Contact