Adversarial Examples In Model Extraction
While primarily known for their use in evasion attacks (causing misclassification),…
Read MoreAn Introduction To AI Model Extraction
AI model extraction refers to an attack method where an adversary…
Read MoreWhat Are The Types Of AI Model Extraction Attacks?
Model Extraction Attacks aim at stealing model architecture, training hyperparameters, learned parameters,…
Read MoreWhat Is Alignment-Aware Extraction?
Alignment-Aware Extraction goes beyond conventional extraction methods by strategically capturing both the functional…
Read MoreCloud Infrastructure Creates Vulnerabilities For AI Model Extraction
Cloud infrastructure vulnerabilities comprise security weaknesses in the cloud platforms and…
Read MoreModel Deployment Creates Vulnerabilities For AI Model Extraction
Model Deployment Vulnerabilities are weaknesses in how models are deployed in…
Read MoreWhat Are Equation-Solving Attacks?
Equation-Solving Attacks represent a specialized and powerful subset of extraction techniques…
Read MoreWhat Is Model Leeching?
Model Leeching is a Model Extraction attack in which an adversary siphons task-specific…
Read MoreIntroduction To API Querying In AI Model Extraction
API Querying is a systematic approach where attackers send repeated inputs…
Read MoreWhat Are Path-Finding Attacks?
Path-Finding is a specialized model extraction attack that targets tree-based machine…
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