Jie Shi
Orcid: 0009-0004-8022-4051Affiliations:
- Huawei International, Singapore
According to our database1,
Jie Shi authored at least 19 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2026
LabelDP Leaks Privacy - A Tightened Correlation-Aware Privacy Model for Labeled Training Data.
IEEE Trans. Dependable Secur. Comput., 2026
2025
DFALLM: Achieving Generalizable Multitask Deepfake Detection by Optimizing Audio LLM Components.
CoRR, December, 2025
CoRR, September, 2025
IEEE Trans. Dependable Secur. Comput., 2025
Proceedings of the 33rd ACM International Conference on Multimedia, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval.
CoRR, 2024
Proceedings of the IEEE Spoken Language Technology Workshop, 2024
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy.
IEEE Trans. Dependable Secur. Comput., 2023
3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning.
Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023
2022
Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation.
IEEE Trans. Dependable Secur. Comput., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
CoRR, 2021
2019
BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks.
Proceedings of the Computer Security - ESORICS 2019, 2019