Tag: adversarial machine learning
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EgoSelf: Personalized Egocentric Assistant with Memory Tech
Discover EgoSelf, an advanced egocentric assistant using graph-based memory to deliver personalized, context-aware user experiences and predictions.
RaBitQ vs TurboQuant: Methods, Theory & Experiments Compared
Explore a detailed comparison of RaBitQ and TurboQuant methods, theory, and experiments, highlighting performance, robustness, and reproducibility.
Evaluating Graph Neural Networks for Bitcoin Fraud Detection
Discover why Graph Neural Networks may underperform in Bitcoin fraud detection under temporal shifts and how feature-only models excel.
Fairness Audits for Institutional ML Risk Models
Explore fairness audits of institutional risk models in ML pipelines, revealing biases by gender, age, and residency in educational support systems.
Neural Operator Framework for Stability in Physical Systems
Discover a data-driven neural operator framework that analyzes stability and receptivity in complex physical systems without traditional equations.