Jie Shi

23 papers A* 7A 1Misc 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
LabelDP Leaks Privacy - A Tightened Correlation-Aware Privacy Model for Labeled Training Data.
IEEE Trans. Dependable Secur. Comput.
Qiao Xue, Qingqing Ye, Haibo Hu, Jian Lou, Jin Li, Chengfang Fang, Jie Shi
2025 A* conf
ACE: Concept Editing in Diffusion Models without Performance Degradation.
ACM Multimedia
Ruipeng Wang, Junfeng Fang, Jiaqi Li, Hao Chen, Jie Shi, Kun Wang, Xiang Wang
2025 J jnl
ACE: Concept Editing in Diffusion Models without Performance Degradation.
CoRR
Ruipeng Wang, Junfeng Fang, Jiaqi Li, Hao Chen, Jie Shi, Kun Wang, Xiang Wang
2025 A* conf
AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.
ICLR
Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua
2025 J jnl
DFALLM: Achieving Generalizable Multitask Deepfake Detection by Optimizing Audio LLM Components.
CoRR
Yupei Li, Li Wang, Yuxiang Wang, Lei Wang, Rizhao Cai, Jie Shi, Björn W. Schuller, Zhizheng Wu
2025 A* conf
Multi-Turn Jailbreaking Large Language Models via Attention Shifting.
AAAI
Xiaohu Du, Fan Mo, Ming Wen, Tu Gu, Huadi Zheng, Hai Jin, Jie Shi
2025 J jnl
RMR: A Relative Membership Risk Measure for Machine Learning Models.
IEEE Trans. Dependable Secur. Comput.
Li Bai, Haibo Hu, Qingqing Ye, Jianliang Xu, Jin Li, Chengfang Fang, Jie Shi
2025 J jnl
SilentStriker:Toward Stealthy Bit-Flip Attacks on Large Language Models.
CoRR
Haotian Xu, Qingsong Peng, Jie Shi, Huadi Zheng, Yu Li, Zhuo Chen
2024 Misc conf
ADVSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification.
ICASSP
Li Wang, Jiaqi Li, Yuhao Luo, Jiahao Zheng, Lei Wang, Hao Li, Ke Xu, Chengfang Fang, Jie Shi, Zhizheng Wu
2024 J jnl
Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval.
CoRR
Mengjia Niu, Hao Li, Jie Shi, Hamed Haddadi, Fan Mo
2024 — conf
SPMIS: An Investigation of Synthetic Spoken Misinformation Detection.
SLT
Peizhuo Liu, Li Wang, Renqiang He, Haorui He, Lei Wang, Huadi Zheng, Jie Shi, Tong Xiao, Zhizheng Wu
2024 J jnl
SpMis: An Investigation of Synthetic Spoken Misinformation Detection.
CoRR
Peizhuo Liu, Li Wang, Renqiang He, Haorui He, Lei Wang, Huadi Zheng, Jie Shi, Tong Xiao, Zhizheng Wu
2024 A* conf
Towards Neuron Attributions in Multi-Modal Large Language Models.
NeurIPS
Junfeng Fang, Zac Bi, Ruipeng Wang, Houcheng Jiang, Yuan Gao, Kun Wang, An Zhang, Jie Shi, Xiang Wang, Tat-Seng Chua
2023 A* conf
3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning.
SP
Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi
2023 J jnl
AdvSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification.
CoRR
Li Wang, Jiaqi Li, Yuhao Luo, Jiahao Zheng, Lei Wang, Hao Li, Ke Xu, Chengfang Fang, Jie Shi, Zhizheng Wu
2023 A* conf
Differential Aggregation against General Colluding Attackers.
ICDE
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
2023 J jnl
Differential Aggregation against General Colluding Attackers.
CoRR
Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi
2023 J jnl
PrivKVM*: Revisiting Key-Value Statistics Estimation With Local Differential Privacy.
IEEE Trans. Dependable Secur. Comput.
Qingqing Ye, Haibo Hu, Xiaofeng Meng, Huadi Zheng, Kai Huang, Chengfang Fang, Jie Shi
2023 A conf
QUDA: Query-Limited Data-Free Model Extraction.
AsiaCCS
Zijun Lin, Ke Xu, Chengfang Fang, Huadi Zheng, Aneez Ahmed Jaheezuddin, Jie Shi
2022 A* conf
MExMI: Pool-based Active Model Extraction Crossover Membership Inference.
NeurIPS
Yaxin Xiao, Qingqing Ye, Haibo Hu, Huadi Zheng, Chengfang Fang, Jie Shi
2022 J jnl
Protecting Decision Boundary of Machine Learning Model With Differentially Private Perturbation.
IEEE Trans. Dependable Secur. Comput.
Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi
2021 J jnl
A-FMI: Learning Attributions from Deep Networks via Feature Map Importance.
CoRR
An Zhang, Xiang Wang, Chengfang Fang, Jie Shi, Tat-Seng Chua, Zehua Chen
2019 — conf
BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks.
ESORICS (1)
Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi