Model Selection

On the Security Risks of AutoML

Authors: Ren Pang, Zhaohan Xi, Shouling Ji, Xiapu Luo, Ting Wang | Published: 2021-10-12
Membership Inference
Model Selection
Adversarial Attack Methods

Improving Vulnerability Prediction of JavaScript Functions Using Process Metrics

Authors: Tamás Viszkok, Péter Hegedűs, Rudolf Ferenc | Published: 2021-05-16
Class Imbalance
Model Selection
Vulnerability Management

Cybersecurity Anomaly Detection in Adversarial Environments

Authors: David A. Bierbrauer, Alexander Chang, Will Kritzer, Nathaniel D. Bastian | Published: 2021-05-14 | Updated: 2021-11-02
ML-Based IDS
Model Selection
Adversarial Learning

Analysis of Machine Learning Approaches to Packing Detection

Authors: Charles-Henry Bertrand Van Ouytsel, Thomas Given-Wilson, Jeremy Minet, Julian Roussieau, Axel Legay | Published: 2021-05-02
PE Malware Classification
Model Selection
Feature Selection Method

Exploring Edge TPU for Network Intrusion Detection in IoT

Authors: Seyedehfaezeh Hosseininoorbin, Siamak Layeghy, Mohanad Sarhan, Raja Jurdak, Marius Portmann | Published: 2021-03-30
ML-Based IDS
Model Selection
Machine Learning Method

Optimal Explanations of Linear Models

Authors: Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sebastien Martin | Published: 2019-07-08
Model Selection
Research Methodology
loss of Interpretability

The Price of Interpretability

Authors: Dimitris Bertsimas, Arthur Delarue, Patrick Jaillet, Sebastien Martin | Published: 2019-07-08
Model Selection
Optimization Strategy
Interpretability

Intelligent Systems Design for Malware Classification Under Adversarial Conditions

Authors: Sean M. Devine, Nathaniel D. Bastian | Published: 2019-07-06
Dataset Analysis
Model Selection
Machine Learning Framework

Data Science Methodology for Cybersecurity Projects

Authors: Farhad Foroughi, Peter Luksch | Published: 2018-03-12
Data Science Methodology
Model Selection
User Behavior Analysis