Model Extraction Attacks and Defenses on Cloud-Based Machine Learning Models. - Xueluan Gong; Qian Wang 002; Yanjiao Chen; Wang Yang; Xinchang Jiang (IEEE Commun. Mag., 2020)

Crowdcaching: Incentivizing D2D-Enabled Caching via Coalitional Game for IoT. - Yanjiao Chen; Xueluan Gong; Runmin Ou; Lingjie Duan; Qian Zhang 001 (IEEE Internet Things J., 2020)

Backdoor Attacks and Defenses for Deep Neural Networks in Outsourced Cloud Environments. - Yanjiao Chen; Xueluan Gong; Qian Wang 002; Xing Di; Huayang Huang (IEEE Netw., 2020)

InverseNet: Augmenting Model Extraction Attacks with Training Data Inversion. - Xueluan Gong; Yanjiao Chen; Wenbin Yang; Guanghao Mei; Qian Wang 002 (IJCAI, 2021)

Defense-Resistant Backdoor Attacks Against Deep Neural Networks in Outsourced Cloud Environment. - Xueluan Gong; Yanjiao Chen; Qian Wang 002; Huayang Huang; Lingshuo Meng; Chao Shen 001; Qian Zhang 001 (IEEE J. Sel. Areas Commun., 2021)

ATTEQ-NN: Attention-based QoE-aware Evasive Backdoor Attacks. - Xueluan Gong; Yanjiao Chen; Jianshuo Dong; Qian Wang 002 (NDSS, 2022)

Private Data Inference Attacks against Cloud: Model, Technologies, and Research Directions. - Xueluan Gong; Yanjiao Chen; Qian Wang 002; Meng Wang; Shuyang Li (IEEE Commun. Mag., 2022)

Wet-Ra: Monitoring Diapers Wetness with Wireless Signals. - Meng Xue 001; Yanjiao Chen; Xueluan Gong; Jian Zhang 010; Chunkai Fan (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Coordinated Backdoor Attacks against Federated Learning with Model-Dependent Triggers. - Xueluan Gong; Yanjiao Chen; Huayang Huang; Yuqing Liao; Shuai Wang; Qian Wang 002 (IEEE Netw., 2022)

MPCN-RP: A Routing Protocol for Blockchain-Based Multi-Charge Payment Channel Networks. - Yanjiao Chen; Yuyang Ran; Jingyue Zhou; Jian Zhang 010; Xueluan Gong (IEEE Trans. Netw. Serv. Manag., 2022)

Orion: Online Backdoor Sample Detection via Evolution Deviance. - Huayang Huang; Qian Wang 002; Xueluan Gong; Tao Wang 081 (IJCAI, 2023)

D-DAE: Defense-Penetrating Model Extraction Attacks. - Yanjiao Chen; Rui Guan; Xueluan Gong; Jianshuo Dong; Meng Xue 001 (SP, 2023)

Redeem Myself: Purifying Backdoors in Deep Learning Models using Self Attention Distillation. - Xueluan Gong; Yanjiao Chen; Wang Yang; Qian Wang 002; Yuzhe Gu; Huayang Huang; Chao Shen 001 (SP, 2023)

Catch You and I Can: Revealing Source Voiceprint Against Voice Conversion. - Jiangyi Deng; Yanjiao Chen; Yinan Zhong; Qianhao Miao; Xueluan Gong; Wenyuan Xu 001 (USENIX Security Symposium, 2023)

NetGuard: Protecting Commercial Web APIs from Model Inversion Attacks using GAN-generated Fake Samples. - Xueluan Gong; Ziyao Wang; Yanjiao Chen; Qian Wang 002; Cong Wang 001; Chao Shen 001 (WWW, 2023)

Backdoor Attack with Sparse and Invisible Trigger. - Yinghua Gao; Yiming Li 004; Xueluan Gong; Shu-Tao Xia; Qian Wang 002 (CoRR, 2023)

Meta-Learning for Human-Centered Wireless Sensing: Architecture, Applications, and Challenges. - Meng Xue 001; Yanjiao Chen; Xueluan Gong; Houze Cao; Jian Zhang 010; Qian Zhang 001 (IEEE Netw., 2023)

MARNet: Backdoor Attacks Against Cooperative Multi-Agent Reinforcement Learning. - Yanjiao Chen; Zhicong Zheng; Xueluan Gong (IEEE Trans. Dependable Secur. Comput., 2023)

Kaleidoscope: Physical Backdoor Attacks Against Deep Neural Networks With RGB Filters. - Xueluan Gong; Ziyao Wang; Yanjiao Chen; Meng Xue 001; Qian Wang 002; Chao Shen 001 (IEEE Trans. Dependable Secur. Comput., 2023)

A GAN-Based Defense Framework Against Model Inversion Attacks. - Xueluan Gong; Ziyao Wang; Shuaike Li; Yanjiao Chen; Qian Wang 002 (IEEE Trans. Inf. Forensics Secur., 2023)

Data Poisoning Attacks in Internet-of-Vehicle Networks: Taxonomy, State-of-The-Art, and Future Directions. - Yanjiao Chen; Xiaotian Zhu; Xueluan Gong; Xinjing Yi; Shuyang Li (IEEE Trans. Ind. Informatics, 2023)

Backdoor Attacks and Defenses in Federated Learning: State-of-the-Art, Taxonomy, and Future Directions. - Xueluan Gong; Yanjiao Chen; Qian Wang 002; Weihan Kong (IEEE Wirel. Commun., 2023)

Echo: Reverberation-based Fast Black-Box Adversarial Attacks on Intelligent Audio Systems. - Meng Xue 001; Kuang Peng; Xueluan Gong; Qian Zhang 001; Yanjiao Chen; Routing Li (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

B3: Backdoor Attacks against Black-box Machine Learning Models. - Xueluan Gong; Yanjiao Chen; Wenbin Yang; Huayang Huang; Qian Wang 002 (ACM Trans. Priv. Secur., 2023)

Beowulf: Mitigating Model Extraction Attacks Via Reshaping Decision Regions. - Xueluan Gong; Rubin Wei; Ziyao Wang; Yuchen Sun; Jiawen Peng; Yanjiao Chen; Qian Wang 002 (CCS, 2024)

Leveraging Label Information for Stealthy Data Stealing in Vertical Federated Learning. - Duanyi Yao; Songze Li; Xueluan Gong; Sizai Hou; Gaoning Pan (CoRR, 2024)

Effective and Evasive Fuzz Testing-Driven Jailbreaking Attacks against LLMs. - Xueluan Gong; Mingzhe Li; Yilin Zhang; Fengyuan Ran; Chen Chen; Yanjiao Chen; Qian Wang 002; Kwok-Yan Lam (CoRR, 2024)

Hidden Data Privacy Breaches in Federated Learning. - Xueluan Gong; Yuji Wang; Shuaike Li; Mengyuan Sun 001; Songze Li; Qian Wang 002; Kwok-Yan Lam; Chen Chen (CoRR, 2024)

Neutralizing Backdoors through Information Conflicts for Large Language Models. - Chen Chen; Yuchen Sun; Xueluan Gong; Jiaxin Gao; Kwok-Yan Lam (CoRR, 2024)

Megatron: Evasive Clean-Label Backdoor Attacks against Vision Transformer. - Xueluan Gong; Bowei Tian; Meng Xue 001; Shuike Li; Yanjiao Chen; Qian Wang 002 (CoRR, 2024)

KerbNet: A QoE-Aware Kernel-Based Backdoor Attack Framework. - Xueluan Gong; Yanjiao Chen; Huayang Huang; Weihan Kong; Ziyao Wang; Chao Shen 001; Qian Wang 002 (IEEE Trans. Dependable Secur. Comput., 2024)

Palette: Physically-Realizable Backdoor Attacks Against Video Recognition Models. - Xueluan Gong; Zheng Fang 014; Bowen Li 016; Tao Wang 081; Yanjiao Chen; Qian Wang 002 (IEEE Trans. Dependable Secur. Comput., 2024)

Backdoor Attack With Sparse and Invisible Trigger. - Yinghua Gao; Yiming Li 004; Xueluan Gong; Zhifeng Li 001; Shu-Tao Xia; Qian Wang 002 (IEEE Trans. Inf. Forensics Secur., 2024)

Ubi-AD: Towards Ubiquitous, Passive Alzheimer Detection using the Smartwatch. - Yuan Wu 007; Yanjiao Chen; Jian Zhang 010; Xueluan Gong; Hongliang Bi (ACM Trans. Sens. Networks, 2024)

URVFL: Undetectable Data Reconstruction Attack on Vertical Federated Learning. - Duanyi Yao; Songze Li; Xueluan Gong; Sizai Hou; Gaoning Pan (NDSS, 2025)

An Effective and Resilient Backdoor Attack Framework Against Deep Neural Networks and Vision Transformers. - Xueluan Gong; Bowei Tian; Meng Xue 001; Yuan Wu 007; Yanjiao Chen; Qian Wang 002 (IEEE Trans. Dependable Secur. Comput., 2025)

Artemis: Defending Against Backdoor Attacks via Distribution Shift. - Meng Xue 001; Zhixian Wang; Qian Zhang 001; Xueluan Gong; Zhihang Liu; Yanjiao Chen (IEEE Trans. Dependable Secur. Comput., 2025)

Augmenting Model Extraction Attacks Against Disruption-Based Defenses. - Xueluan Gong; Shuaike Li; Yanjiao Chen; Mingzhe Li; Rubin Wei; Qian Wang 002; Kwok-Yan Lam (IEEE Trans. Inf. Forensics Secur., 2025)

A Survey on Facial Image Privacy Preservation in Cloud-Based Services. - Chen Chen; Mengyuan Sun 001; Xueluan Gong; Yanjiao Chen; Qian Wang 002 (CoRR, 2025)

ARMOR: Shielding Unlearnable Examples against Data Augmentation. - Xueluan Gong; Yuji Wang; Yanjiao Chen; Haocheng Dong; Yiming Li 004; Mengyuan Sun 001; Shuaike Li; Qian Wang 002; Chen Chen (CoRR, 2025)

TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data. - Yanbo Dai; Songze Li; Zihan Gan; Xueluan Gong (CoRR, 2025)

LLMs Cannot Reliably Judge (Yet?): A Comprehensive Assessment on the Robustness of LLM-as-a-Judge. - Songze Li; Chuokun Xu; Jiaying Wang; Xueluan Gong; Chen Chen; Jirui Zhang; Jun Wang 001; Kwok-Yan Lam; Shouling Ji (CoRR, 2025)