Protecting Classifiers From Attacks. A Bayesian Approach
Authors: Victor Gallego, Roi Naveiro, Alberto Redondo, David Rios Insua, Fabrizio Ruggeri | Published: 2020-04-18
マルチクラス分類
Feature Selection and Intrusion Detection in Cloud Environment based on Machine Learning Algorithms
Authors: Amir Javadpour, Sanaz Kazemi Abharian, Guojun Wang | Published: 2020-04-15
Provable robustness against all adversarial $l_p$-perturbations for $p\geq 1$
Authors: Francesco Croce, Matthias Hein | Published: 2019-05-27 | Updated: 2020-04-24
Supervised Machine Learning Techniques for Trojan Detection with Ring Oscillator Network
Authors: Kyle Worley, Md Tauhidur Rahman | Published: 2019-03-12
Complement Objective Training
Authors: Hao-Yun Chen, Pei-Hsin Wang, Chun-Hao Liu, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan | Published: 2019-03-04 | Updated: 2019-03-21
AutoGAN-based Dimension Reduction for Privacy Preservation
Authors: Hung Nguyen, Di Zhuang, Pei-Yuan Wu, Morris Chang | Published: 2019-02-27 | Updated: 2021-07-27
Increasing the adversarial robustness and explainability of capsule networks with $γ$-capsules
Authors: David Peer, Sebastian Stabinger, Antonio Rodriguez-Sanchez | Published: 2018-12-23 | Updated: 2019-12-05
Designing Adversarially Resilient Classifiers using Resilient Feature Engineering
Authors: Kevin Eykholt, Atul Prakash | Published: 2018-12-17
Anomaly Generation using Generative Adversarial Networks in Host Based Intrusion Detection
Authors: Milad Salem, Shayan Taheri, Jiann Shiun Yuan | Published: 2018-12-11
Machine Learning for Anomaly Detection and Categorization in Multi-cloud Environments
Authors: Tara Salman, Deval Bhamare, Aiman Erbad, Raj Jain, Mohammed Samaka | Published: 2018-10-23