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Cyber-Physical Systems Virtual Organization
Read-only archive of site from September 29, 2023.
CPS-VO
poisoning attacks
biblio
Robust and Resilient Federated Learning for Securing Future Networks
Submitted by grigby1 on Fri, 01/06/2023 - 3:25pm
resilience
Label Flipping
defense mechanism
poisoning attacks
6G mobile communication
AI Poisoning
Distributed databases
Clustering algorithms
federated learning
Training
Industries
5G mobile communication
Scalability
Resiliency
Human behavior
pubcrawl
machine learning
biblio
Detection of Induced False Negatives in Malware Samples
Submitted by grigby1 on Tue, 09/20/2022 - 1:12pm
privacy
false trust
Zero day Malware
Poisoning Defences
poisoning attacks
Resiliency
Adversarial Machine Learning
Training data
malware
Training
Scalability
Heuristic algorithms
resilience
policy-based governance
pubcrawl
machine learning
Predictive models
biblio
A Survey on Security and Privacy Threats to Federated Learning
Submitted by grigby1 on Mon, 04/18/2022 - 1:36pm
policy-based governance
security weaknesses
security threat
Resists
Resiliency
resilience
pubcrawl
Protocols
Privacy-preserving
privacy
Collaborative Work
poisoning attacks
inference attacks
IEEE standards
Human behavior
generative adversarial networks
GAN attacks.
federated learning
Computational modeling
biblio
Problems of Poison: New Paradigms and "Agreed" Competition in the Era of AI-Enabled Cyber Operations
Submitted by aekwall on Mon, 01/11/2021 - 12:39pm
Deterrence
soon-to-be-ubiquitous AI systems
societal systems
Scalability
Resiliency
pubcrawl
Protocols
poisoning attacks
persistent engagement
operational obfuscation
offensive cyber operations
national defense postures
national defense establishments
machine learning
AI Poisoning
defensive mission
Cyber Attacks
cyber activities
cyber
artificial intelligence technologies
Artificial Intelligence
AI-enabled cyber operations
AI-enabled cyber campaigns
AI-augmented cyber defenses
AI cyber operations
AI
Human behavior
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
Poisoning Attacks to Graph-Based Recommender Systems
Submitted by grigby1 on Fri, 02/08/2019 - 3:30pm
Adversarial Machine Learning
Adversarial recommender systems
attack graphs
composability
Metrics
poisoning attacks
pubcrawl
recommender systems
resilience
Resiliency
biblio
Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach
Submitted by grigby1 on Fri, 07/06/2018 - 1:06pm
security
pubcrawl
Human behavior
IoT
Scalability
Provenance
resilience
Resiliency
Adversarial Machine Learning
poisoning attacks
causative attacks
internet of the things
AI Poisoning
biblio
Robust Linear Regression Against Training Data Poisoning
Submitted by grigby1 on Fri, 07/06/2018 - 1:06pm
pubcrawl
Human behavior
defense
Scalability
resilience
Resiliency
Adversarial Machine Learning
poisoning attacks
AI Poisoning
biblio
Systematic Poisoning Attacks on and Defenses for Machine Learning in Healthcare
Submitted by grigby1 on Fri, 07/06/2018 - 1:06pm
Resiliency
malware
medical computing
Medical Informatics
models
Neoplasms
patient distress
pattern classification
poisoning attacks
pubcrawl
resilience
malicious data
Scalability
security
security breach
security of data
systematic poisoning attacks
targeted errors
Theoretical
Training
training datasets
health care
Algorithms
application domains
arbitrary errors
biomedicine
computer security
critical decisions
Databases
Factual
false diagnosis prompt users
false positive classification
AI Poisoning
health-related applications
Healthcare
Human behavior
Humans
learning (artificial intelligence)
life-threatening consequences
machine learning
machine learning algorithms
machine-learning algorithms
