AI Poisoning

biblio

Addressing Adversarial Attacks Against Security Systems Based on Machine Learning

Submitted by grigby1 on Wed, 11/04/2020 - 1:16pm

machine learning
spam
Scalability
Resiliency
resilience
pubcrawl
poisoning attacks
poisoning attack
pattern classification
Organizations
network intrusion detection
malware
machine-learning classifiers
adversarial attacks
learning (artificial intelligence)
invasive software
Intrusion Detection
Human behavior
evasion attacks
Detectors
deep learning
cyber security platforms
cyber detector
Computer crime
AI Poisoning

biblio

TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks

Submitted by grigby1 on Wed, 11/04/2020 - 1:15pm

pubcrawl
learning (artificial intelligence)
machine learning
ML Security
multilevel security system
object detection
Object recognition
optimization
Optimization algorithms
perceptible noise
pre-trained DNNs
Inference algorithms
resilience
Resiliency
Scalability
security
security of data
structural similarity analysis
traffic sign detection
Training
training data-unaware imperceptible security attacks
training dataset
feature extraction
AI Poisoning
automation
autonomous vehicles
convolutional neural nets
Correlation
data manipulation attacks
data poisoning attacks
Deep Neural Network
deep neural networks
DNNs
Adversarial Machine Learning
generated attack images
German Traffic Sign Recognition Benchmarks dataset
Human behavior
image classification
Image coding
image recognition
imperceptibility factor
imperceptible attack images
Imperceptible Attack Noise

biblio

Deep Learning Poison Data Attack Detection

Submitted by grigby1 on Wed, 11/04/2020 - 1:15pm

model definitions
variational inference approach
Variational inference
transfer learning
training phase
testing data
system-critical applications
Scalability
Resiliency
resilience
pubcrawl
pre-trained model parameters
poisonous data
poisoned training data
neural nets
network attack
adversarial information
MNIST data
maximum entropy principle
Maximum Entropy method
learning (artificial intelligence)
Human behavior
Entropy
deep neural networks
deep learning poison data attack detection
deep learning
computer network security
CNN model
Bayesian statistic
attacking training data
AI Poisoning

biblio

Poisoning Attack in Federated Learning using Generative Adversarial Nets

Submitted by grigby1 on Wed, 11/04/2020 - 1:14pm

learning (artificial intelligence)
Training data
Training
Task Analysis
Servers
security
Scalability
Resiliency
resilience
pubcrawl
private training data
privacy
poisoning attack
AI Poisoning
Human behavior
Generative Adversarial Nets
gan
Gallium nitride
federated learning system
federated learning architecture
federated learning
deep learning model
Data models
convolutional neural nets
Computational modeling

biblio

Poisoning Attack on Load Forecasting

Submitted by grigby1 on Wed, 11/04/2020 - 1:14pm

poisoning attack
Training data
statistical methods
simulated annealing
short-term load forecasting systems
security of data
Scalability
Resiliency
resilience
regression analysis
pubcrawl
Predictive models
power system security
power grids
power engineering computing
poisoning attack solution
AI Poisoning
outlier detection
Numerical models
neural network
multiple linear regression
MLR model
MLR attacking solution
Load modeling
load forecasting
Human behavior
Global Energy Forecasting Competition data
forecasting
data poisoning strategy
Data models
closed-form solution

biblio

ARP Poisoning Attack Detection Based on ARP Update State in Software-Defined Networks

Submitted by grigby1 on Wed, 11/04/2020 - 1:13pm

repetitive ARP reply
tools
Software-Defined Networks
software-defined networking
software defined networking
SFC vulnerability
SFC
service function chaining
Servers
security issues
SDN
Scalability
Safety
Resiliency
resilience
AI Poisoning
pubcrawl
Protocols
Next generation networking
networking technology
networking environment
IP networks
Human behavior
Firewalls (computing)
control systems
computer network security
ARP update state
ARP Poisoning attack detection
ARP Poisoning

biblio

A Detection Method Against DNS Cache Poisoning Attacks Using Machine Learning Techniques: Work in Progress

Submitted by grigby1 on Wed, 11/04/2020 - 1:13pm

pubcrawl
GeoIP related features
Human behavior
internet
IP networks
Kaminsky attack
learning (artificial intelligence)
machine learning
machine learning techniques
feature extraction
resilience
Resiliency
Scalability
security of data
Servers
standard DNS protocols
time related features
Training
detection method
authoritative DNS server
cache poisoning attack
cache storage
cached DNS data
compromised authoritative DNS servers
Computer crime
computer network security
Databases
AI Poisoning
DNS
DNS based domain name resolution
DNS cache poisoning attacks
DNS cache servers
DNS packet
DNS response packets
DNS security extensions

biblio

Preventing Poisoning Attacks On AI Based Threat Intelligence Systems

Submitted by grigby1 on Wed, 11/04/2020 - 1:13pm

poisoning attacks prevention
Web sites
Twitter
threat intelligence systems
Support vector machines
social networking (online)
security of data
security analysts
Scalability
Resiliency
resilience
pubcrawl
AI Poisoning
online social media
malicious information
learning (artificial intelligence)
Human behavior
ensembled semi-supervised approach
Engines
cybersecurity domain
computer security
Artificial Intelligence
AI systems

biblio

TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications

Submitted by grigby1 on Wed, 11/04/2020 - 1:12pm

resilience
neural nets
Neural networks
Perturbation methods
poisoning attack
privacy
privacy protection purpose
pubcrawl
real-world application
lower inference accuracy
Resiliency
Scalability
security of data
TensorClog poisoning technique
test error
Training
user data
user privacy violations
deep neural network applications
adversarial attack
AI Poisoning
CIFAR-10 dataset results
converged training loss
data converges
data privacy
data results
deep learning
abusive data collection
deep neural networks
different limited information attack scenarios
feature extraction
Human behavior
imperceptible poisoning attack
internet
Internet application providers
learning (artificial intelligence)

biblio

Selective Poisoning Attack on Deep Neural Network to Induce Fine-Grained Recognition Error

Submitted by aekwall on Mon, 08/10/2020 - 9:36am

MNIST
Training data
Training
Support vector machines
Speech recognition
selective poisoning attack
security of data
Resiliency
pubcrawl
policy-based governance
poisoning attack
Pattern recognition
nuclear facilities
Neurons
Neural networks
neural nets
AI Poisoning
malicious training data
machine learning library
machine learning
learning (artificial intelligence)
image recognition
fine-grained recognition error
DNN training process
DNN security
distortion
Deep Neural Network
Data models
cyber physical systems
CIFAR10
chosen class
Artificial Neural Networks

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Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

AI Poisoning

Addressing Adversarial Attacks Against Security Systems Based on Machine Learning

TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks

Deep Learning Poison Data Attack Detection

Poisoning Attack in Federated Learning using Generative Adversarial Nets

Poisoning Attack on Load Forecasting

ARP Poisoning Attack Detection Based on ARP Update State in Software-Defined Networks

A Detection Method Against DNS Cache Poisoning Attacks Using Machine Learning Techniques: Work in Progress

Preventing Poisoning Attacks On AI Based Threat Intelligence Systems

TensorClog: An Imperceptible Poisoning Attack on Deep Neural Network Applications

Selective Poisoning Attack on Deep Neural Network to Induce Fine-Grained Recognition Error