Query-limited Black-box Attacks to Classifiers. - Fnu Suya; Yuan Tian 001; David Evans 001; Paolo Papotti (CoRR, 2017)

Demystifying Hidden Privacy Settings in Mobile Apps. - Yi Chen 024; Mingming Zha 001; Nan Zhang 018; Dandan Xu; Qianqian Zhao; Xuan Feng; Kan Yuan; Fnu Suya; Yuan Tian 001; Kai Chen 012; XiaoFeng Wang 001; Wei Zou (IEEE Symposium on Security and Privacy, 2019)

Hybrid Batch Attacks: Finding Black-box Adversarial Examples with Limited Queries. - Fnu Suya; Jianfeng Chi; David Evans 001; Yuan Tian 001 (USENIX Security Symposium, 2020)

Model-Targeted Poisoning Attacks: Provable Convergence and Certified Bounds. - Fnu Suya; Saeed Mahloujifar; David Evans 001; Yuan Tian 001 (CoRR, 2020)

Scalable attack on graph data by injecting vicious nodes. - Jihong Wang 003; Minnan Luo; Fnu Suya; Jundong Li; Zijiang Yang 006; Qinghua Zheng (Data Min. Knowl. Discov., 2020)

Model-Targeted Poisoning Attacks with Provable Convergence. - Fnu Suya; Saeed Mahloujifar; Anshuman Suri; David Evans 001; Yuan Tian 001 (ICML, 2021)

Stealthy Backdoors as Compression Artifacts. - Yulong Tian; Fnu Suya; Fengyuan Xu; David Evans 001 (IEEE Trans. Inf. Forensics Secur., 2022)

HackWrt: Network Traffic-Based Eavesdropping of Handwriting. - Aaron T. Kinfe; Chijung Jung; Kai Lin; Marshall Clyburn; Fnu Suya (CPS-IoT Week Workshops, 2023)

Manipulating Transfer Learning for Property Inference. - Yulong Tian; Fnu Suya; Anshuman Suri; Fengyuan Xu; David Evans 001 (CVPR, 2023)

What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? - Fnu Suya; Xiao Zhang 016; Yuan Tian 001; David Evans 001 (NeurIPS, 2023)

When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks? - Fnu Suya; Xiao Zhang 016; Yuan Tian 001; David Evans 001 (CoRR, 2023)

Understanding Variation in Subpopulation Susceptibility to Poisoning Attacks. - Evan Rose; Fnu Suya; David Evans 001 (CoRR, 2023)

SoK: Pitfalls in Evaluating Black-Box Attacks. - Fnu Suya; Anshuman Suri; Tingwei Zhang; Jingtao Hong; Yuan Tian 001; David Evans 001 (SaTML, 2024)

Adversarial Hubness in Multi-Modal Retrieval. - Tingwei Zhang; Fnu Suya; Rishi D. Jha; Collin Zhang; Vitaly Shmatikov (CoRR, 2024)

DAASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples. - Abdullah Al Nomaan Nafi; Habibur Rahaman; Zafaryab Haider; Tanzim Mahfuz; Fnu Suya; Swarup Bhunia; Prabuddha Chakraborty (CoRR, 2025)