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safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based
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. Robustness evaluation framework: you will develop comprehensive assessment methodologies to quantify the weaknesses and limitations of malware detection models. Countermeasures: you will develop targeted
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. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize
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legislation targeting digital technologies more broadly - such as the Digital Services Act, Digital Markets Act, Markets in Crypto-Assets Regulation, and the AI Act. These frameworks are reshaping how digital
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legislation targeting digital technologies more broadly - such as the Digital Services Act, Digital Markets Act, Markets in Crypto-Assets Regulation, and the AI Act. These frameworks are reshaping how digital
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legislation targeting digital technologies more broadly - such as the Digital Services Act, Digital Markets Act, Markets in Crypto-Assets Regulation, and the AI Act. These frameworks are reshaping how digital
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legislation targeting digital technologies more broadly - such as the Digital Services Act, Digital Markets Act, Markets in Crypto-Assets Regulation, and the AI Act. These frameworks are reshaping how digital
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legislation targeting digital technologies more broadly - such as the Digital Services Act, Digital Markets Act, Markets in Crypto-Assets Regulation, and the AI Act. These frameworks are reshaping how digital
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legislation targeting digital technologies more broadly - such as the Digital Services Act, Digital Markets Act, Markets in Crypto-Assets Regulation, and the AI Act. These frameworks are reshaping how digital
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, the standard of care has been recently expanded to include molecularly targeted therapies and immunotherapies; and the genetic profile of primary tumors is now used to guide personalized treatment decisions