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08/02/2023
Isolation and Induction: Training Robust Deep Neural Networks against Model Stealing Attacks
Despite the broad application of Machine Learning models as a Service (M...
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05/16/2023
Latent Distribution Adjusting for Face Anti-Spoofing
With the development of deep learning, the field of face anti-spoofing (...
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05/06/2023
Towards Prompt-robust Face Privacy Protection via Adversarial Decoupling Augmentation Framework
Denoising diffusion models have shown remarkable potential in various ge...
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09/15/2022
Improving Robust Fairness via Balance Adversarial Training
Adversarial training (AT) methods are effective against adversarial atta...
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09/12/2022
Adaptive Perturbation Generation for Multiple Backdoors Detection
Extensive evidence has demonstrated that deep neural networks (DNNs) are...
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04/27/2022
Robust Face Anti-Spoofing with Dual Probabilistic Modeling
The field of face anti-spoofing (FAS) has witnessed great progress with ...
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04/12/2022
CoupleFace: Relation Matters for Face Recognition Distillation
Knowledge distillation is an effective method to improve the performance...
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11/24/2021
One to Transfer All: A Universal Transfer Framework for Vision Foundation Model with Few Data
The foundation model is not the last chapter of the model production pip...
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03/02/2021
Inter-class Discrepancy Alignment for Face Recognition
The field of face recognition (FR) has witnessed great progress with the...
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05/27/2019
LAW: Learning to Auto Weight
Example weighting algorithm is an effective solution to the training bia...
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04/19/2019
Knowledge Distillation via Route Constrained Optimization
Distillation-based learning boosts the performance of the miniaturized n...
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04/03/2019
Correlation Congruence for Knowledge Distillation
Most teacher-student frameworks based on knowledge distillation (KD) dep...
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02/28/2019
Context-aware Dynamic Block
Although deeper and larger neural networks have achieved better performa...
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12/25/2018
A backward procedure for change-point detection with applications to copy number variation detection
Change-point detection regains much attention recently for analyzing arr...
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11/28/2017
Nonparametric Independence Screening via Favored Smoothing Bandwidth
We propose a flexible nonparametric regression method for ultrahigh-dime...
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02/17/2010