Jie Shi

Orcid: 0009-0004-8022-4051

Affiliations:
  • Huawei International, Singapore


According to our database1, Jie Shi authored at least 19 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

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

SilentStriker:Toward Stealthy Bit-Flip Attacks on Large Language Models.
CoRR, September, 2025

RMR: A Relative Membership Risk Measure for Machine Learning Models.
IEEE Trans. Dependable Secur. Comput., 2025

ACE: Concept Editing in Diffusion Models without Performance Degradation.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Multi-Turn Jailbreaking Large Language Models via Attention Shifting.
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

SPMIS: An Investigation of Synthetic Spoken Misinformation Detection.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024

Towards Neuron Attributions in Multi-Modal Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

ADVSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification.
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

Differential Aggregation against General Colluding Attackers.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

QUDA: Query-Limited Data-Free Model Extraction.
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

MExMI: Pool-based Active Model Extraction Crossover Membership Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance.
CoRR, 2021

2019
BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks.
Proceedings of the Computer Security - ESORICS 2019, 2019


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