research
∙
05/29/2023
Fourier Analysis on Robustness of Graph Convolutional Neural Networks for Skeleton-based Action Recognition
Using Fourier analysis, we explore the robustness and vulnerability of g...
share
research
∙
05/15/2023
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
In recent years, there has been growing concern over the vulnerability o...
research
∙
01/21/2023
Improving Accuracy of Zero-Shot Action Recognition with Handcrafted Features
With the development of machine learning, datasets for models are gettin...
research
∙
10/27/2022
Vanishing Component Analysis with Contrastive Normalization
Vanishing component analysis (VCA) computes approximate generators of va...
research
∙
10/07/2022
Game-Theoretic Understanding of Misclassification
This paper analyzes various types of image misclassification from a game...
research
∙
07/04/2022
Approximate Vanishing Ideal Computations at Scale
The approximate vanishing ideal of a set of points X = {𝐱_1, …, 𝐱_m}⊆ [0...
research
∙
05/29/2022
Superclass Adversarial Attack
Adversarial attacks have only focused on changing the predictions of the...
research
∙
05/20/2022
Adversarial Body Shape Search for Legged Robots
We propose an evolutionary computation method for an adversarial attack ...
research
∙
05/20/2022
Adversarial joint attacks on legged robots
We address adversarial attacks on the actuators at the joints of legged ...
research
∙
03/14/2022
Adversarial amplitude swap towards robust image classifiers
The vulnerability of convolutional neural networks (CNNs) to image pertu...
research
∙
11/19/2021
Reinforcement Learning with Adaptive Curriculum Dynamics Randomization for Fault-Tolerant Robot Control
This study is aimed at addressing the problem of fault tolerance of quad...
research
∙
09/13/2021
Evolving Architectures with Gradient Misalignment toward Low Adversarial Transferability
Deep neural network image classifiers are known to be susceptible not on...
research
∙
09/13/2021
Adversarial Bone Length Attack on Action Recognition
Skeleton-based action recognition models have recently been shown to be ...
research
∙
09/13/2021
Adversarially Trained Object Detector for Unsupervised Domain Adaptation
Unsupervised domain adaptation, which involves transferring knowledge fr...
research
∙
01/02/2021
Border basis computation with gradient-weighted normalization
Normalization of polynomials plays a vital role in the approximate basis...
research
∙
01/01/2021
Monomial-agnostic computation of vanishing ideals
The approximate basis computation of vanishing ideals has recently been ...
research
∙
12/07/2020
Sparse Fooling Images: Fooling Machine Perception through Unrecognizable Images
In recent years, deep neural networks (DNNs) have achieved equivalent or...
research
∙
11/11/2019
Gradient Boosts the Approximate Vanishing Ideal
In the last decade, the approximate vanishing ideal and its basis constr...
research
∙
01/25/2019
Spurious Vanishing Problem in Approximate Vanishing Ideal
Approximate vanishing ideal, which is a new concept from computer algebr...
research
∙
01/29/2018