| Issue Date | Title | Author(s) |
| 2024-01-01 | AgrAmplifier: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification | Gong, Z; Shen, L; Zhang, Y; Zhang, LY; Wang, J; Bai, G; Xiang, Y |
| 2023-04-30 | AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning | Zhang, Y; Bai, G; Chamikara, MAP; Ma, M; Shen, L; Wang, J; Nepal, S; Xue, M; Wang, L; Liu, J |
| 2022-12-05 | Better Together: Attaining the Triad of Byzantine-robust Federated Learning via Local Update Amplification | Shen, L; Zhang, Y; Wang, J; Bai, G |
| 2023-06-19 | Characterizing Cryptocurrency-Themed Malicious Browser Extensions | Wang, K; Ling, Y; Zhang, Y; Yu, Z; Wang, H; Bai, G; Ooi, BC; Dong, JS |
| 2023-06-19 | Characterizing Cryptocurrency-themed Malicious Browser Extensions | Wang, K; Ling, Y; Zhang, Y; Yu, Z; Wang, H; Bai, G; Ooi, BC; Dong, JS |
| 2023-10 | Detecting contradictions from IoT protocol specification documents based on neural generated knowledge graph. | Feng, X; Zhang, Y; Meng, MH; Li, Y; Joe, CE; Wang, Z; Bai, G |
| 2024 | Evasion Attack and Defense On Machine Learning Models in Cyber-Physical Systems: A Survey | Wang, S; Ko, RKL; Bai, G; Dong, N; Choi, T; Zhang, Y |
| 2023-07-10 | Investigating Users' Understanding of Privacy Policies of Virtual Personal Assistant Applications | Chen, B; Wu, T; Zhang, Y; Chhetri, MB; Bai, G |
| 2023-07-10 | LoDen: Making Every Client in Federated Learning a Defender Against the Poisoning Membership Inference Attacks | Ma, M; Zhang, Y; Arachchige, PCM; Zhang, LY; Chhetri, MB; Bai, G |
| 2023-01-01 | Post-GDPR Threat Hunting on Android Phones: Dissecting OS-level Safeguards of User-unresettable Identifiers | Meng, MH; Zhang, Q; Xia, G; Zheng, Y; Zhang, Y; Bai, G; Liu, Z; Teo, SG; Dong, JS |
| 2023-07-01 | Preserving Privacy for Distributed Genome-Wide Analysis Against Identity Tracing Attacks | Zhang, Y; Bai, G; Li, X; Nepal, S; Grobler, M; Chen, C; Ko, RKL |
| 2018-02-01 | Strong barrier coverage of directional sensor networks with mobile sensors | Zhao, L; Bai, G; Shen, H; Tang, Z |
