By Dr Nan Sun

Conference Papers

Wu Z; Yang Z; Jiang J; Yang S; Sun N, 2026, 'DagFC: Dependency-Aware Fact-Checking via Claim-Constructed Knowledge Graphs and Large Language Models', in Wsdm 2026 Proceedings of the 19th ACM International Conference on Web Search and Data Mining, pp. 745 - 755, http://dx.doi.org/10.1145/3773966.3777966

Huang H; Sun N; Tani Bertuol M; Zhang Y; Jiang J; Jha S, 2026, 'Unmasking Disinformation: Enhancing Cyber Threat Intelligence through Crowdsourced Analysis and AI-Driven Training', in Proceedings of the 59th Hawaii International Conference on System Sciences, Hawaii, presented at 59th Hawaii International Conference on System Sciences (HICSS-59), Hawaii, 06 January 2026 - 09 January 2026, http://dx.doi.org/10.24251/HICSS.2026.743

Han S; Tan T; Miao Y; Chen X; Sun N, 2026, 'Prompting Instability: An Empirical Study of LLM Robustness in Code Vulnerability Detection', in Lecture Notes in Computer Science, pp. 233 - 245, http://dx.doi.org/10.1007/978-981-95-4969-6_18

Xu S; Ding Z; Cheng X; Li Y; Sun N; Turnbull B; Kan S; Ma S, 2026, 'PufferDoS: Efficient and Effective Attack String Generation for Regular Expression Denial of Service Vulnerabilities', in Proceedings IEEE Symposium on Security and Privacy, pp. 3984 - 4002, http://dx.doi.org/10.1109/SP63933.2026.00169

Dilini N; Sun N; Miao S; Moustafa N, 2026, 'TrustGuard: IoT Intrusion Detection with XAI-Driven Feature Refinement for Enhanced Multi-class Edge Classification', in Lecture Notes in Computer Science, pp. 177 - 190, http://dx.doi.org/10.1007/978-981-95-4969-6_14

Guo X; Sun N; Chen Y; Xue J, 2025, 'AI-Powered Pavement Moduli Prediction: Advancing Smart City Infrastructure with Scalable and Interpretable Solutions', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, Institute of Electrical and Electronics Engineers (IEEE), AUSTRIA, Vienna, pp. 5380 - 5386, presented at 2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC), AUSTRIA, Vienna, 05 October 2025 - 08 October 2025, http://dx.doi.org/10.1109/SMC58881.2025.11343215

Mo X; Sun N; Zhang LY; Luo W; Gao S; Xiang Y, 2025, 'Arms Race in Deep Learning: A Survey of Backdoor Defenses and Adaptive Attacks', in Lecture Notes in Computer Science, pp. 308 - 325, http://dx.doi.org/10.1007/978-981-96-8183-9_24

Wu Z; Jiang J; Yang S; Sun N, 2025, 'Dual-View Evidence Learning and Cross-View Fusion for Enhanced Text-Table Fact Verification', in Conference Proceedings IEEE International Conference on Systems Man and Cybernetics, pp. 3052 - 3058, http://dx.doi.org/10.1109/SMC58881.2025.11342923

Xu S; Dong J; Cai W; Li J; Shaghaghi A; Sun N; Ma S, 2025, 'Enhancing Security in Third-Party Library Reuse - Comprehensive Detection of 1-day Vulnerability through Code Patch Analysis', Internet Society, presented at Proceedings 2025 Network and Distributed System Security Symposium, http://dx.doi.org/10.14722/ndss.2025.240576

Dong J; Ni Z; Sun N; Jha S; Zhang Y; Bertino E; Nepal S; Ma S, 2025, 'Securing AI Code Generation - A Prompt Rectification Approach for Mitigating Cyber Risks', in Proceedings of the IEEE International Conference on Trust Security and Privacy in Computing and Communications Trustcom, pp. 914 - 925, http://dx.doi.org/10.1109/Trustcom66490.2025.00106

Wu Z; Sun N; Jiang J; Yang S, 2025, 'Systematic Approaches to Fact Verification: Evidence Retrieval, Veracity Prediction, and Beyond', in Lecture Notes in Computer Science, pp. 271 - 289, http://dx.doi.org/10.1007/978-981-96-8183-9_22

Dong J; Chen X; Susilo W; Sun N; Shaghaghi A; Ma S, 2025, 'What Lies Beneath: An Empirical Study of Silent Vulnerability Fixes in Open-Source Software', in Proceedings 2025 55th Annual IEEE IFIP International Conference on Dependable Systems and Networks Dsn 2025, pp. 345 - 357, http://dx.doi.org/10.1109/DSN64029.2025.00043

Chang YT; Hu Z; Li X; Yang S; Jiang J; Sun N, 2024, 'DiHAN: A Novel Dynamic Hierarchical Graph Attention Network for Fake News Detection', in International Conference on Information and Knowledge Management Proceedings, pp. 197 - 206, http://dx.doi.org/10.1145/3627673.3679675

Wang M; Boshuijzen-van Burken C; Sun N; Kasra Kermanshahi S; Zhang Y; Hu J, 2024, 'VirtuGuard: Ethically Aligned Artificial Intelligence Framework for Cyberbullying Mitigation', Singapore, presented at 2024 IEEE Conference on Artificial Intelligence (CAI), Singapore, 23 June 2024, http://dx.doi.org/10.1109/CAI59869.2024.00271

Mo X; Zhang Y; Zhang LY; Luo W; Sun N; Hu S; Gao S; Xiang Y, 2024, 'Robust Backdoor Detection for Deep Learning via Topological Evolution Dynamics', in Proceedings IEEE Symposium on Security and Privacy, pp. 2048 - 2066, http://dx.doi.org/10.1109/SP54263.2024.00174

Mo X; Zhang LY; Sun N; Luo W; Gao S, 2023, 'Backdoor Attack on Deep Neural Networks in Perception Domain', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN54540.2023.10191661

Huang H; Sun N; Lin X; Moustafa N, 2022, 'Towards Generalized Deepfake Detection With Continual Learning On Limited New Data', Institute of Electrical and Electronics Engineers (IEEE), pp. 1 - 7, presented at 2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA), http://dx.doi.org/10.1109/dicta56598.2022.10034569

Zhang L; Sun N; Wu X; Luo D, 2022, 'Advanced Face Anti-Spoofing with Depth Segmentation', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN55064.2022.9892826

Huang H; Sun N; Lin X, 2022, 'Blockwise Spectral Analysis for Deepfake Detection in High-fidelity Videos', in Proceedings 2022 IEEE 9th International Conference on Data Science and Advanced Analytics Dsaa 2022, http://dx.doi.org/10.1109/DSAA54385.2022.10032370

Sun N; Gao S; Zhang LY; Camtepe S; Zhang J; Xiang Y, 2021, 'My security: An interactive search engine for cybersecurity', in Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 6206 - 6215

Sun N; Zhang J; Gao S; Zhang LY; Camtepe S; Xiang Y, 2020, 'Data Analytics of Crowdsourced Resources for Cybersecurity Intelligence', in Lecture Notes in Computer Science, pp. 3 - 21, http://dx.doi.org/10.1007/978-3-030-65745-1_1

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