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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
Robust machine learning
biblio
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method
Submitted by grigby1 on Fri, 09/04/2020 - 4:10pm
distortion metrics
advanced AI platforms
alternating direction method of multipliers
Bayesian optimization
black-box adversarial attack generation methods
black-box adversarial examples
black-box attacks
BO-ADMM
competitive attack success rates
Convex functions
ADMM solution framework
gradient-free optimization
gradient-free regime
operator splitting method
query complexities
Robust machine learning
zeroth-order optimization
ZO-ADMM
Black Box Security
Complexity theory
optimisation
pubcrawl
composability
Metrics
Resiliency
resilience
learning (artificial intelligence)
optimization
security of data
distortion
Perturbation methods
image classification
Bayes methods
image retrieval
black-box adversarial attacks
Measurement
estimation
file
Robustifying Machine Learning for Cyber-Physical Systems
Submitted by Soumik Sarkar on Thu, 01/16/2020 - 3:28pm. Contributor:
Soumik Sarkar
Robust machine learning
adversarial attacks
defense
CNN
Deep RL
Posters
1845969
CPS PI Meeting 2020
2020
NSF
U.S. Government
Poster