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Yiming Li (李一鸣)
标题
引用次数
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Backdoor Learning: A Survey
Y Li, Y Jiang, Z Li, ST Xia
IEEE Transactions on Neural Networks and Learning Systems, 2022
4552022
Invisible Backdoor Attack with Sample-Specific Triggers
Y Li, Y Li, B Wu, L Li, R He, S Lyu
International Conference on Computer Vision (ICCV), 2021
2992021
Backdoor Attack in the Physical World
Y Li, T Zhai, Y Jiang, Z Li, ST Xia
ICLR Workshop on Robust and Reliable Machine Learning in the Real World, 2021
196*2021
Backdoor Defense via Decoupling the Training Process
K Huang*, Y Li*, B Wu, Z Qin, K Ren
International Conference on Learning Representations (ICLR), 2022
1272022
Backdoor Attack against Speaker Verification
T Zhai*, Y Li*, Z Zhang, B Wu, Y Jiang, ST Xia
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
912021
Targeted Attack for Deep Hashing based Retrieval
J Bai*, B Chen*, Y Li*, D Wu, W Guo, ST Xia, E Yang
European Conference on Computer Vision (ECCV), 2020
762020
Revisiting the Assumption of Latent Separability for Backdoor Defenses
X Qi, T Xie, Y Li, S Mahloujifar, P Mittal
International Conference on Learning Representations (ICLR), 2023
60*2023
Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits
J Bai, B Wu, Y Zhang, Y Li, Z Li, ST Xia
International Conference on Learning Representations (ICLR), 2021
532021
Black-box Dataset Ownership Verification via Backdoor Watermarking
Y Li, M Zhu, X Yang, Y Jiang, T Wei, ST Xia
IEEE Transactions on Information Forensics and Security, 2023
50*2023
Few-Shot Backdoor Attacks on Visual Object Tracking
Y Li, H Zhong, X Ma, Y Jiang, ST Xia
International Conference on Learning Representations (ICLR), 2022
502022
Multinomial Random Forest
J Bai*, Y Li*, J Li, X Yang, Y Jiang, ST Xia
Pattern Recognition, 108331, 2022
492022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Y Li, Y Bai, Y Jiang, Y Yang, ST Xia, B Li
Annual Conference on Neural Information Processing Systems (NeurIPS), 2022
422022
SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency
J Guo*, Y Li*, X Chen, H Guo, L Sun, C Liu
International Conference on Learning Representations (ICLR), 2023
372023
Semi-supervised Robust Training with Generalized Perturbed Neighborhood
Y Li, B Wu, Y Feng, Y Fan, Y Jiang, Z Li, ST Xia
Pattern Recognition 124, 108472, 2022
37*2022
Defending against Model Stealing via Verifying Embedded External Features
Y Li, L Zhu, X Jia, Y Jiang, ST Xia, X Cao
AAAI Conference on Artificial Intelligence (AAAI), 2022
37*2022
Hidden Backdoor Attack against Semantic Segmentation Models
Y Li, Y Li, Y Lv, Y Jiang, ST Xia
ICLR Workshop on Security and Safety in Machine Learning Systems, 2021
252021
A Fine-grained Differentially Private Federated Learning against Leakage from Gradients
L Zhu, X Liu, Y Li, X Yang, ST Xia, R Lu
IEEE Internet of Things Journal 9 (13), 11500-11512, 2021
202021
Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks
Y Gao*, Y Li*, L Zhu*, D Wu, Y Jiang, ST Xia
Pattern Recognition, 109512, 2023
172023
TNT: An Interpretable Tree-network-tree Learning Framework using Knowledge Distillation
J Li, Y Li, X Xiang, ST Xia, S Dong, Y Cai
Entropy 22 (11), 1203, 2020
172020
Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning
Y Li, J Bai, J Li, X Yang, Y Jiang, ST Xia
arXiv preprint arXiv:2008.09413, 2020
17*2020
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