Skip to Main Content Area
CPS-VO
Contact Support
Browse
Calendar
Announcements
Repositories
Groups
Search
Search for Content
Search for a Group
Search for People
Search for a Project
Tagcloud
› Go to login screen
Not a member?
Click here to register!
Forgot username or password?
Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
adversarial learning setting
biblio
Fine Tuning Lasso in an Adversarial Environment against Gradient Attacks
Submitted by grigby1 on Mon, 03/19/2018 - 1:59pm
robust classifier
known weaknesses
labeled training data
learning (artificial intelligence)
Metrics
optimization
pattern classification
probability
pubcrawl
resilience
Resiliency
Input variables
Scalability
security of data
single convex optimization
source domain
supervised learning
Synthetic Data
Task Analysis
testing
Toxicology
Training
data set testing
adversarial data
adversarial environment
adversarial learning research
adversarial learning setting
Adversarial Machine Learning
Adversary Models
convex programming
data analysis
Data mining
data mining algorithms
adversarial component
data testing
domain adaptation
domain adaption
feature extraction
Feature Selection
fine tuning lasso
fixed probability distribution
gradient attacks
Human behavior
