Deep Dynamic Clustering of Spam Reviewers using Behavior-Anomaly-based Graph Embedding. - Agnideven Palanisamy Sundar; Feng Li 001; Xukai Zou; Tianchong Gao (GLOBECOM, 2020)

Multi-Armed-Bandit-based Shilling Attack on Collaborative Filtering Recommender Systems. - Agnideven Palanisamy Sundar; Feng Li 001; Xukai Zou; Qin Hu 001; Tianchong Gao (MASS, 2020)

Understanding Shilling Attacks and Their Detection Traits: A Comprehensive Survey. - Agnideven Palanisamy Sundar; Feng Li 001; Xukai Zou; Tianchong Gao; Evan D. Russomanno (IEEE Access, 2020)

Learning Discriminative Features for Adversarial Robustness. - Ryan Hosler; Tyler Phillips 001; Xiaoyuan Yu; Agnideven Palanisamy Sundar; Xukai Zou; Feng Li 001 (MSN, 2021)

Distributed Swift and Stealthy Backdoor Attack on Federated Learning. - Agnideven Palanisamy Sundar; Feng Li 001; Xukai Zou; Tianchong Gao (NAS, 2022)

Unsupervised Deep Learning for an Image Based Network Intrusion Detection System. - Ryan Hosler; Agnideven Palanisamy Sundar; Xukai Zou; Feng Li 001; Tianchong Gao (GLOBECOM, 2023)

TrustNetFL: Enhancing Federated Learning with Trusted Client Aggregation for Improved Security. - David Chen; Kehan Wang; Agnideven Palanisamy Sundar; Feng Li 001 (MobiHoc, 2023)

Subjective Logic-based Decentralized Federated Learning for Non-IID Data. - Agnideven Palanisamy Sundar; Feng Li 001; Xukai Zou; Tianchong Gao (ARES, 2024)

Graph Representation Learning on Novel Feature Based Graphs for Network Intrusion Detection. - Ryan Hosler; Agnideven Palanisamy Sundar; Xukai Zou; Feng Li 001; Tianchong Gao (GLOBECOM, 2024)

Toward Multimodal Vertical Federated Learning: A Traffic Analysis Case Study. - Agnideven Palanisamy Sundar; Feng Li 001; Xukai Zou; Tianchong Gao (ICCCN, 2024)

Generating-Based Attacks to Online Social Networks. - Tianchong Gao; Yucheng Bian; Feng Li 001; Agnideven Palanisamy Sundar (IEEE Trans. Comput. Soc. Syst., 2024)

Vaccination Against Backdoor Attacks on Federated Learning Systems. - Agnideven Palanisamy Sundar; Feng Li 001; Xukai Zou; Tianchong Gao; Ryan Hosler (IEEE Trans. Syst. Man Cybern. Syst., 2025)