Shanghao Shi
Orcid: 0009-0007-6964-8250
According to our database1,
Shanghao Shi authored at least 27 papers
between 2020 and 2026.
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Bibliography
2026
Trusting What You Cannot See: Auditable Fine-Tuning and Inference for Proprietary AI.
CoRR, March, 2026
TraceGuard: Process-Guided Firewall against Reasoning Backdoors in Large Language Models.
CoRR, March, 2026
IU-GUARD: Privacy-Preserving Spectrum Coordination for Incumbent Users under Dynamic Spectrum Sharing.
CoRR, February, 2026
AgentDyn: A Dynamic Open-Ended Benchmark for Evaluating Prompt Injection Attacks of Real-World Agent Security System.
CoRR, February, 2026
Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System Through Geometric Feature Learning.
IEEE Trans. Netw., 2026
Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
Rethinking Jailbreak Detection of Large Vision Language Models with Representational Contrastive Scoring.
CoRR, December, 2025
FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning.
IEEE Trans. Dependable Secur. Comput., 2025
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction.
Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025
Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats.
Proceedings of the IEEE Military Communications Conference, 2025
BoBa: Boosting Backdoor Detection Through Data Distribution Inference in Federated Learning.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025
StarCast: A Secure and Spectrum-Efficient Group Communication Scheme for LEO Satellite Networks.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2025
MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models.
Proceedings of the ACM/IEEE International Conference on Connected Health: Applications, 2025
2024
CoRR, 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning.
CoRR, 2024
ProFLingo: A Fingerprinting-based Copyright Protection Scheme for Large Language Models.
CoRR, 2024
Hermes: Boosting the Performance of Machine-Learning-Based Intrusion Detection System through Geometric Feature Learning.
Proceedings of the Twenty-fifth International Symposium on Theory, 2024
Pri-Share: Enabling Inter-SAS Privacy Protection via Secure Multi-Party Spectrum Allocation.
Proceedings of the IEEE International Symposium on Dynamic Spectrum Access Networks, 2024
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
2023
IEEE Trans. Cogn. Commun. Netw., August, 2023
Proceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2023
MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection.
Proceedings of the IEEE Military Communications Conference, 2023
Proceedings of the Computer Security - ESORICS 2023, 2023
2022
IEEE Wirel. Commun., 2022
2021
IEEE Internet Things J., 2021
2020
Proceedings of the ACSAC '20: Annual Computer Security Applications Conference, 2020