Adversarial Attacks on Deep Learning Systems for User Identification based on Motion Sensors
Authors: Cezara Benegui, Radu Tudor Ionescu | Published: 2020-09-02 | Updated: 2020-11-05
Adversarial Example
Benchmarking adversarial attacks and defenses for time-series data
Authors: Shoaib Ahmed Siddiqui, Andreas Dengel, Sheraz Ahmed | Published: 2020-08-30
Improving Resistance to Adversarial Deformations by Regularizing Gradients
Authors: Pengfei Xia, Bin Li | Published: 2020-08-29 | Updated: 2020-10-06
Adversarially Training for Audio Classifiers
Authors: Raymel Alfonso Sallo, Mohammad Esmaeilpour, Patrick Cardinal | Published: 2020-08-26 | Updated: 2020-10-25
NoPeek: Information leakage reduction to share activations in distributed deep learning
Authors: Praneeth Vepakomma, Abhishek Singh, Otkrist Gupta, Ramesh Raskar | Published: 2020-08-20
Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Authors: Alfred Laugros, Alice Caplier, Matthieu Ospici | Published: 2020-08-19
Improving adversarial robustness of deep neural networks by using semantic information
Authors: Lina Wang, Rui Tang, Yawei Yue, Xingshu Chen, Wei Wang, Yi Zhu, Xuemei Zeng | Published: 2020-08-18 | Updated: 2021-06-17
A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems
Authors: Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos, XiaoRui Liu, Raj Gautam Dutta, Yier Jin, Charalambos Konstantinou | Published: 2020-08-16
TextDecepter: Hard Label Black Box Attack on Text Classifiers
Authors: Sachin Saxena | Published: 2020-08-16 | Updated: 2020-12-28
Learning to Learn from Mistakes: Robust Optimization for Adversarial Noise
Authors: Alex Serban, Erik Poll, Joost Visser | Published: 2020-08-12