White-to-Black: Efficient Distillation of Black-Box Adversarial Attacks
Authors: Yotam Gil, Yoav Chai, Or Gorodissky, Jonathan Berant | Published: 2019-04-04
機械学習アルゴリズム
Leveraging Electromagnetic Side-Channel Analysis for the Investigation of IoT Devices
Authors: Asanka Sayakkara, Nhien-An Le-Khac, Mark Scanlon | Published: 2019-04-03
Detection of LDDoS Attacks Based on TCP Connection Parameters
Authors: Michael Siracusano, Stavros Shiaeles, Bogdan Ghita | Published: 2019-03-12
Improving SIEM for Critical SCADA Water Infrastructures Using Machine Learning
Authors: Hanan Hindy, David Brosset, Ethan Bayne, Amar Seeam, Xavier Bellekens | Published: 2019-03-06
Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression
Authors: Martin Gubri | Published: 2018-01-06
Learning from Pseudo-Randomness With an Artificial Neural Network – Does God Play Pseudo-Dice?
Authors: Fenglei Fan, Ge Wang | Published: 2018-01-05
Learning from Mutants: Using Code Mutation to Learn and Monitor Invariants of a Cyber-Physical System
Authors: Yuqi Chen, Christopher M. Poskitt, Jun Sun | Published: 2018-01-03 | Updated: 2018-06-13
Did you hear that? Adversarial Examples Against Automatic Speech Recognition
Authors: Moustafa Alzantot, Bharathan Balaji, Mani Srivastava | Published: 2018-01-02
A Deep Belief Network Based Machine Learning System for Risky Host Detection
Authors: Wangyan Feng, Shuning Wu, Xiaodan Li, Kevin Kunkle | Published: 2017-12-29
Application of Convolutional Neural Network to Predict Airfoil Lift Coefficient
Authors: Yao Zhang, Woong-Je Sung, Dimitri Mavris | Published: 2017-12-29 | Updated: 2018-01-16