Publications

Fnu Suya, Anshuman Suri, Tingwei Zhang, Jingtao Hong, Yuan Tian, David Evans (2024). SoK: Pitfalls in Evaluating Black-Box Attacks. In IEEE SaTML 2024.

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Fnu Suya, Xiao Zhang, Yuan Tian, David Evans (2023). What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?. In NeurIPS 2023.

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Yulong Tian, Fnu Suya, Anshuman Suri, Fengyuan Xu, David Evans (2023). Manipulating Transfer Learning for Property Inference. In CVPR 2023.

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Evan Rose, Fnu Suya, David Evans (2022). Poisoning Attacks and Subpopulation Susceptibility. In VISxAI 2022 (Best Paper Award).

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Yulong Tian, Fnu Suya, Fengyuan Xu, David Evans (2022). Stealthy Backdoors as Compression Artifacts. In TIFS 2022.

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Fnu Suya, Saeed Mahloujifar, Anshuman Suri, David Evans, Yuan Tian (2021). Model-Targeted Poisoning Attacks with Provable Convergence. In ICML, 2021.

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Fnu Suya, Jianfeng Chi, David Evans, Yuan Tian (2019). Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. In Usenix Security 2020.

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Jihong Wang, Minnan Luo, Fnu Suya, Jundong Li, Zijiang Yang, Qinghua Zheng (2019). Scalable Attack on Graph Data by Injecting Vicious Nodes. In ECML-PKDD 2020.

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Yi Chen, Mingming Zha, Nan Zhang, Dandan Xu, Qianqian Zhao, Xuan Feng, Kan Yuan, Fnu Suya, Yuan Tian, Kai Chen, XiaoFeng Wang, Wei Zou (2019). Demystifying Hidden Privacy Settings in Mobile Apps. In IEEE S&P 2019.

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Fnu Suya, Xiao Zhang, Yuan Tian, David Evans (2018). When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks?. In ICML AdvML Workshop 2023.

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Fnu Suya, David Evans, Yuan Tian (2018). Poster: Adversaries Don't Care About Averages: Batch Attacks on Black-Box Classifiers. In IEEE S&P 2018.

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Fnu Suya, David Evans, Yuan Tian (2017). Poisoning Attacks and Subpopulation Susceptibility. In N(eur)IPS MLSec Workshop 2017.

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Fnu Suya, Yuanming Shi, Bo Bai, Wei Chen, Jun Zhang, Khaled B. Letaief, Shidong Zhou (2016). Optimal Stochastic Power Control with Compressive CSI Acquisition for Cloud-RAN. In GlobalSIP 2016.

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