Machine Learning
Identify Targeted Attacks on Deep RL-Based Autonomous Driving
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Predicting Accuracy of a Machine Learning Model
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Simulation-based Real-time Production Control
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Improving Shape Awareness and Interpretability in Deep Networks
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Cyber Risk Loss Distribution Model of Client-Server Networks
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Gaussian Process Modeling for Heterogeneous Functions
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Independent Audit and Assessment Framework for AI Systems
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Enhancing Fairness Through Aleatoric Uncertainty
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Exploiting Class Probabilities for Black-Box Sentence-Level Attacks
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Methods and Systems for Detecting Disinformation Generated by Large Language Models
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