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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
deep neural networks
biblio
Trusted Confidence Bounds for Learning Enabled Cyber-Physical Systems
Submitted by grigby1 on Wed, 05/26/2021 - 10:39am
Monitoring
triplet
Task Analysis
robot navigation
real-time systems
pubcrawl
privacy
Neural networks
navigation
assurance monitoring
Human Factors
Human behavior
deep neural networks
Decision Making
cyber-physical systems
cyber physical systems
CPS Privacy
conformal prediction
biblio
NeuroAttack: Undermining Spiking Neural Networks Security through Externally Triggered Bit-Flips
Submitted by aekwall on Thu, 05/13/2021 - 10:32am
Hardware
Spiking Neural Networks
SNN
security
Resiliency
resilience
Reliability
pubcrawl
policy-based governance
Metrics
machine learning
Cross Layer Security
fault-injection attacks
DNN
deep neural networks
cyber physical systems
cross-layer
Biological system modeling
Biological neural networks
Artificial Neural Networks
adversarial attacks
biblio
Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models
Submitted by aekwall on Mon, 02/01/2021 - 10:43am
DNN-based image translation attack
attacker-chosen disease condition
attacking medical image diagnostics
biomedical image
biomedical imagery
biomedical optical imaging
deep generative models
deep learning tools
defenses
neural style transfer
eye
healthcare domain
Jekyll
medical domain
medical image diagnostics
neural style transfer framework
patient healthcare
retinal fundus image modalities
image segmentation
learning (artificial intelligence)
machine learning
Resiliency
pubcrawl
deep learning
neural nets
image watermarking
attacks
Scalability
Generative Models
Predictive Metrics
deep neural networks
sensitive data
medical image processing
medical images
diseases
medical professionals
biblio
Defending Against Model Stealing Attacks With Adaptive Misinformation
Submitted by grigby1 on Thu, 01/28/2021 - 12:12pm
Metrics
training dataset
security of data
security
Scalability
Resiliency
resilience
query processing
pubcrawl
Predictive models
Perturbation methods
out-of-distribution inputs
OOD queries
neural nets
model stealing attacks
Adaptation models
learning (artificial intelligence)
labeled dataset
Human behavior
deep neural networks
Data models
Computational modeling
Cloning
clone model
black-box query access
attacker clone model
attacker
Adversary Models
Adaptive Misinformation
biblio
Link Prediction Adversarial Attack Via Iterative Gradient Attack
Submitted by aekwall on Mon, 01/25/2021 - 12:01pm
gradient information
attack graphs
adversarial attack
adversarial graph
deep models
defense
GAE
gradient attack (GA)
gradient attack strategy
gradient methods
graph autoencode
graph evolved tasks
iterative gradient attack
Link prediction
link prediction adversarial attack problem
node classification
real-world graphs
trained graph autoencoder model
Robustness
data privacy
Task Analysis
learning (artificial intelligence)
Resiliency
pubcrawl
composability
graph theory
privacy
security of data
neural nets
Prediction algorithms
security problem
Predictive models
Predictive Metrics
deep neural networks
Perturbation methods
biblio
DeCrypto Pro: Deep Learning Based Cryptomining Malware Detection Using Performance Counters
Submitted by grigby1 on Fri, 01/22/2021 - 1:38pm
DeCrypto Pro
LSTM
defense mechanisms
advanced persistent threats
antivirus applications
APTs
behavior profiling
benign compression
classification model
collaborative attacks
computational resources
cryptographic operations
cryptojacking
cryptomining
Long short-term memory
DeCrypto Profiler framework
deep cryptomining profiler
mission-critical cybersystems
model selection
operating context profiling system
performance counters
Ransomware
system features
system functionalities
Trojan Laziok
utility function
Windows performance counters
cyberattacks
Predictive models
machine learning
Data mining
pubcrawl
Human behavior
Metrics
resilience
Resiliency
Scalability
Data models
Computational modeling
random forests
recurrent neural nets
Cryptography
deep learning
pattern classification
malware
invasive software
malware detection
nearest neighbour methods
k-nearest neighbors
Random Forest
advanced persistent threat
APT
deep neural networks
encoding
biblio
A Generalizable Deepfake Detector based on Neural Conditional Distribution Modelling
Submitted by grigby1 on Fri, 01/15/2021 - 11:01am
generative adversarial networks
video-realistic generation techniques
Video Forensics
Universal Background Model
two-step synthetic face image detection method
synthetic images
synthetic face generation methods
PixelCNN
photo-realistic generation techniques
neural conditional distribution modelling
generalizable Deepfake detector
Face detection
conditional probabilities
anomaly detector
faces
DeepFake
Training
Probability distribution
probability
deep neural networks
face recognition
resilience
Task Analysis
neural nets
Scalability
Resiliency
Metrics
Human Factors
Human behavior
pubcrawl
feature extraction
biblio
Human Action Recognition in Video Using DB-LSTM and ResNet
Submitted by grigby1 on Mon, 01/11/2021 - 1:01pm
learning (artificial intelligence)
video-content-based monitoring
video signal processing
video processing
video frames
Scalability
ResNet152
Resiliency
resilience
recurrent neural nets
PyTorch
pubcrawl
object detection
Metrics
man-machine interaction
action recognition
image sequences
Image Processing
image motion analysis
human action recognition method
feature extraction
deep video
deep neural networks
deep bidirectional LSTM networks
DB-LSTM network
DB-LSTM
convolutional neural networks
convolutional neural network
convolutional neural nets
CNN architecture
biblio
A Comparative Analysis of Deep Learning based Super-Resolution Techniques for Thermal Videos
Submitted by grigby1 on Mon, 01/11/2021 - 12:57pm
Thermal analysis
pedestrians
poor resolution
pubcrawl
resilience
Resiliency
Scalability
SRGAN
Super resolution
super resolution techniques
super-resolution algorithms
super-resolution techniques
pedestrian database
thermal cameras
thermal frames
Thermal Imaging
thermal video dataset
thermal videos
video frame resolution
video signal processing
video streaming
video streams
Videos
Imaging
benchmark thermal datasets
Comparative Analysis
Databases
deep learning
deep neural networks
deep video
expensive optical sensors
Healthcare
Image resolution
image sequences
auto-encoder
infrared imaging
law enforcement
learning (artificial intelligence)
machine learning
Metrics
neural nets
Neural networks
object detection
optical precision
OSU color
biblio
Design of Intrusion Prevention System for OT Networks Using Deep Neural Networks
Submitted by aekwall on Mon, 01/11/2021 - 12:36pm
OT Network
intrusion prevention system
invasive software
IPS system
malware
Modbus
network threats
neural nets
Neural networks
operational technology system elements
internet
OT networks
Protocols
pubcrawl
Resiliency
SCADA
SCADA systems
SCADA test bed
Scalability
telecommunication security
deep neural networks
Air gaps
automation industries
automation scenarios
behavior-based intrusion prevention system
computer network security
cyber-attacks
data acquisition
data acquisition systems
Deep Neural Network
SCADA Systems Security
deep packet inspection
DNP3
DoS attack
feature extraction
industrial control
Industries
industry control system
insider attacks
integrated circuits
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