Cyber Situation Awareness with Active Learning for Intrusion Detection
Authors: Steven McElwee, James Cannady | Published: 2019-12-29
敵対的学習
secml: A Python Library for Secure and Explainable Machine Learning
Authors: Maura Pintor, Luca Demetrio, Angelo Sotgiu, Marco Melis, Ambra Demontis, Battista Biggio | Published: 2019-12-20 | Updated: 2022-05-13
Explainability and Adversarial Robustness for RNNs
Authors: Alexander Hartl, Maximilian Bachl, Joachim Fabini, Tanja Zseby | Published: 2019-12-20 | Updated: 2020-02-19
Random CapsNet Forest Model for Imbalanced Malware Type Classification Task
Authors: Aykut Çayır, Uğur Ünal, Hasan Dağ | Published: 2019-12-20 | Updated: 2020-08-23
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations
Authors: Jeet Mohapatra, Tsui-Wei, Weng, Pin-Yu Chen, Sijia Liu, Luca Daniel | Published: 2019-12-19 | Updated: 2020-06-15
SIGMA : Strengthening IDS with GAN and Metaheuristics Attacks
Authors: Simon Msika, Alejandro Quintero, Foutse Khomh | Published: 2019-12-18
Fooling LIME and SHAP: Adversarial Attacks on Post hoc Explanation Methods
Authors: Dylan Slack, Sophie Hilgard, Emily Jia, Sameer Singh, Himabindu Lakkaraju | Published: 2019-11-06 | Updated: 2020-02-03
Adversarial Example Detection by Classification for Deep Speech Recognition
Authors: Saeid Samizade, Zheng-Hua Tan, Chao Shen, Xiaohong Guan | Published: 2019-10-22
White-Box Adversarial Defense via Self-Supervised Data Estimation
Authors: Zudi Lin, Hanspeter Pfister, Ziming Zhang | Published: 2019-09-13
Defending Against Adversarial Attacks by Suppressing the Largest Eigenvalue of Fisher Information Matrix
Authors: Chaomin Shen, Yaxin Peng, Guixu Zhang, Jinsong Fan | Published: 2019-09-13