Yiming Li

Orcid: 0000-0002-2258-265X

Affiliations:

Zhejiang University, ZJU-HIC, Hangzhou Global Scientific and Technological Innovation Center, China
Tsinghua University, Computer Science and Technology, Tsinghua Shenzhen International Graduate School, China (PhD 2013)

According to our database¹, Yiming Li authored at least 50 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Portfolio Selection via Graph-Aware Gaussian Processes With Generalized Gaussian Likelihood.

[BibT_eX]

[DOI]

IEEE Trans. Artif. Intell., February, 2024

Backdoor Learning: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

2023

Not All Samples Are Born Equal: Towards Effective Clean-Label Backdoor Attacks.

[BibT_eX]

[DOI]

Pattern Recognit., July, 2023

Black-Box Dataset Ownership Verification via Backdoor Watermarking.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger.

[BibT_eX]

[DOI]

CoRR, 2023

Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand.

[BibT_eX]

[DOI]

CoRR, 2023

Backdoor Attack with Sparse and Invisible Trigger.

[BibT_eX]

[DOI]

CoRR, 2023

Defending Against Backdoor Attacks by Layer-wise Feature Analysis.

[BibT_eX]

[DOI]

Najeeb Moharram Jebreel

Josep Domingo-Ferrer

Yiming Li

CoRR, 2023

BackdoorBox: A Python Toolbox for Backdoor Learning.

[BibT_eX]

[DOI]

CoRR, 2023

SCALE-UP: An Efficient Black-box Input-level Backdoor Detection via Analyzing Scaled Prediction Consistency.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Robust Model Watermark via Reducing Parametric Vulnerability.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Backdoor Defense via Suppressing Model Shortcuts.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

BATT: Backdoor Attack with Transformation-Based Triggers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Untargeted Backdoor Attack Against Object Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Semi-supervised robust training with generalized perturbed neighborhood.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Multinomial random forest.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

A Fine-Grained Differentially Private Federated Learning Against Leakage From Gradients.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection.

[BibT_eX]

[DOI]

CoRR, 2022

Black-box Ownership Verification for Dataset Protection via Backdoor Watermarking.

[BibT_eX]

[DOI]

CoRR, 2022

MOVE: Effective and Harmless Ownership Verification via Embedded External Features.

[BibT_eX]

[DOI]

CoRR, 2022

Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Backdoor Defense via Decoupling the Training Process.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Few-Shot Backdoor Attacks on Visual Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Adaptive Local Implicit Image Function for Arbitrary-Scale Super-Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Defending against Model Stealing via Verifying Embedded External Features.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Regional Adversarial Training for Better Robust Generalization.

[BibT_eX]

[DOI]

CoRR, 2021

Backdoor Attack in the Physical World.

[BibT_eX]

[DOI]

CoRR, 2021

Hidden Backdoor Attack against Semantic Segmentation Models.

[BibT_eX]

[DOI]

CoRR, 2021

Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

Invisible Backdoor Attack with Sample-Specific Triggers.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Backdoor Attack Against Speaker Verification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

t-k-means: A ROBUST AND STABLE k-means VARIANT.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Visual Privacy Protection via Mapping Distortion.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

TNT: An Interpretable Tree-Network-Tree Learning Framework using Knowledge Distillation.

[BibT_eX]

[DOI]

Entropy, 2020

Backdoor Attack with Sample-Specific Triggers.

[BibT_eX]

[DOI]

CoRR, 2020

Open-sourced Dataset Protection via Backdoor Watermarking.

[BibT_eX]

[DOI]

CoRR, 2020

Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Backdoor Learning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2020

Rethinking the Trigger of Backdoor Attack.

[BibT_eX]

[DOI]

CoRR, 2020

Toward Adversarial Robustness via Semi-supervised Robust Training.

[BibT_eX]

[DOI]

CoRR, 2020

Multitask Deep Learning for Edge Intelligence Video Surveillance System.

[BibT_eX]

[DOI]

Proceedings of the 18th IEEE International Conference on Industrial Informatics, 2020

Generalized Local Aggregation for Large Scale Gaussian Process Regression.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Adversarial Defense Via Local Flatness Regularization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Targeted Attack for Deep Hashing Based Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Adversarial Defense Via Local Flatness Regularization.

[BibT_eX]

[DOI]

CoRR, 2019

t-k-means: A k-means Variant with Robustness and Stability.

[BibT_eX]

[DOI]

CoRR, 2019

Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness.

[BibT_eX]

[DOI]

CoRR, 2019

Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness.

[BibT_eX]

[DOI]

CoRR, 2019

UA-DRN: Unbiased Aggregation of Deep Neural Networks for Regression Ensemble.

[BibT_eX]

[DOI]

Aust. J. Intell. Inf. Process. Syst., 2019

Yiming Li

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