Global ETD Search
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Showing 1 to 3 of 3 for “"Adversarial Optimization"”.
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Breaking things so you don’t have to: risk assessment and failure prediction for cyber-physical AI
… models or else use sample-inefficient black-box optimization methods. Moreover, existing verification methods provide little guidance on how to optimize the system's design to be more robust to the failures they uncover. In this thesis, I develop a suite of methods that accelerate verification …
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Controlled training data generation with diffusion models
… feedback from a given supervised model and finds adversarial prompts that result in image generations that maximize the model loss. While these adversarial prompts result in diverse data informed by the model, they are not informed of the target distribution, which can be inefficient. Therefore, …
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Learning with Constraint-Based Weak Supervision
… algorithms. Firstly, we will propose an adversarial labeling approach for weak supervision. In this method, the adversary chooses the labels for the data and a model learns by minimising the error made by the adversarial model. Secondly, we will propose a simple constrained based approach …