Adversarial Example

Differentially Private Adversarial Robustness Through Randomized Perturbations

Authors: Nan Xu, Oluwaseyi Feyisetan, Abhinav Aggarwal, Zekun Xu, Nathanael Teissier | Published: 2020-09-27
Data Generation
Relationship between Robustness and Privacy
Adversarial Example

Adversarial Examples in Deep Learning for Multivariate Time Series Regression

Authors: Gautam Raj Mode, Khaza Anuarul Hoque | Published: 2020-09-24
Multivariate Time Series Analysis
Adversarial Example
Time-Related Features

Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization

Authors: Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang | Published: 2020-09-23
Robustness
Adversarial Example
Generative Model

Feature Distillation With Guided Adversarial Contrastive Learning

Authors: Tao Bai, Jinnan Chen, Jun Zhao, Bihan Wen, Xudong Jiang, Alex Kot | Published: 2020-09-21
Watermarking
Adversarial Example
Adversarial Training

Adversarial Training with Stochastic Weight Average

Authors: Joong-Won Hwang, Youngwan Lee, Sungchan Oh, Yuseok Bae | Published: 2020-09-21
Adversarial Example
Adversarial Training
Weight Update Method

EI-MTD:Moving Target Defense for Edge Intelligence against Adversarial Attacks

Authors: Yaguan Qian, Qiqi Shao, Jiamin Wang, Xiang Lin, Yankai Guo, Zhaoquan Gu, Bin Wang, Chunming Wu | Published: 2020-09-19 | Updated: 2020-11-25
Dynamic Service Scheduling
Adversarial Example
Knowledge Distillation

Robust Deep Learning Ensemble against Deception

Authors: Wenqi Wei, Ling Liu | Published: 2020-09-14
Adversarial Example
Adversarial Attack Detection
Adversarial Training

Dynamically Computing Adversarial Perturbations for Recurrent Neural Networks

Authors: Shankar A. Deka, Dušan M. Stipanović, Claire J. Tomlin | Published: 2020-09-07
Multi-Class Classification
Adversarial Example
Adversarial Attack Methods

Detection Defense Against Adversarial Attacks with Saliency Map

Authors: Dengpan Ye, Chuanxi Chen, Changrui Liu, Hao Wang, Shunzhi Jiang | Published: 2020-09-06
Poisoning
Adversarial Example
Adversarial Attack Methods

Yet Meta Learning Can Adapt Fast, It Can Also Break Easily

Authors: Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang | Published: 2020-09-02
Meta-Learning Method
Adversarial Example
Adversarial attack