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03/24/2023
PIAT: Parameter Interpolation based Adversarial Training for Image Classification
Adversarial training has been demonstrated to be the most effective appr...
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11/27/2022
Class-aware Information for Logit-based Knowledge Distillation
Knowledge distillation aims to transfer knowledge to the student model b...
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11/15/2022
Local Magnification for Data and Feature Augmentation
In recent years, many data augmentation techniques have been proposed to...
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05/27/2022
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
It is well-known that modern neural networks are vulnerable to adversari...
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12/08/2021
Uncovering the Local Hidden Community Structure in Social Networks
Hidden community is a useful concept proposed recently for social networ...
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11/21/2021
Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability
The black-box adversarial attack has attracted impressive attention for ...
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07/31/2021
Structure Amplification on Multi-layer Stochastic Block Models
Much of the complexity of social, biological, and engineered systems ari...
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07/06/2021
Integrating Circle Kernels into Convolutional Neural Networks
The square kernel is a standard unit for contemporary Convolutional Neur...
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11/15/2019
Single Image Reflection Removal through Cascaded Refinement
We address the problem of removing undesirable reflections from a single...
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09/23/2019
Robust Local Features for Improving the Generalization of Adversarial Training
Adversarial training has been demonstrated as one of the most effective ...
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08/17/2019
Nesterov Accelerated Gradient and Scale Invariance for Improving Transferability of Adversarial Examples
Recent evidence suggests that deep neural networks (DNNs) are vulnerable...
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05/10/2019
A New Anchor Word Selection Method for the Separable Topic Discovery
Separable Non-negative Matrix Factorization (SNMF) is an important metho...
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04/16/2019
AT-GAN: A Generative Attack Model for Adversarial Transferring on Generative Adversarial Nets
Recent studies have discovered the vulnerability of Deep Neural Networks...
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11/27/2018
Adaptive Wavelet Clustering for Highly Noisy Data
In this paper we make progress on the unsupervised task of mining arbitr...
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11/27/2018
Adaptive Wavelet Clustering for High Noise Data
In this paper we make progress on the unsupervised task of mining arbitr...
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10/01/2018
Improving the Generalization of Adversarial Training with Domain Adaptation
By injecting adversarial examples into training data, the adversarial tr...
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01/21/2018
Curvature-based Comparison of Two Neural Networks
In this paper we show the similarities and differences of two deep neura...
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11/05/2017
The Local Dimension of Deep Manifold
Based on our observation that there exists a dramatic drop for the singu...
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02/24/2017
Hidden Community Detection in Social Networks
We introduce a new paradigm that is important for community detection in...
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11/19/2015