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) that employ artificial intelligence (AI). Central AI techniques for us are deep learning, image analysis, knowledge graphs, machine learning, and natural-language understanding. We investigate
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techniques for us are deep learning, image analysis, knowledge graphs, machine learning, and natural-language understanding. We investigate application areas such as digital multimedia forensics, decision
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, knowledge graphs, machine learning, and natural-language understanding. We investigate application areas such as digital multimedia forensics, decision making in health IS, personal data analysis, and
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, there are three research objectives: 1. To analyze the security of machine learning (ML) models against modifications by using the principles of differential cryptanalysis. 2. To analyze the security
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documented by publications in the topmost conferences in Algorithms (FOCS, STOC, SODA, ICALP, SOCG, ESA, STACS, ITCS), and/or Machine Learning (NeurIPS, ICML, ICLR, AISTATS), and AI (AAAI, IJCAI) is a
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the security of machine learning (ML) models against modifications by using the principles of differential cryptanalysis. 2. To analyze the security of ML models against attacks that aim to recover
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publications in the topmost conferences in Algorithms (FOCS, STOC, SODA, ICALP, SOCG, ESA, STACS, ITCS), and/or Machine Learning (NeurIPS, ICML, ICLR, AISTATS), and AI (AAAI, IJCAI) is a requirement. The LEAD AI
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of Linguistic, Literary and Aesthetic Studies The department employs an academic staff of 70, 15 administrative staff, and about 40 ph.d. students and postdocs. We offer study programs in Art History, Classical
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relevant field for the position, such as learning sciences, cognitive science, psychology, educational data science, artificial intelligence, computer/information science, or the equivalent Cutting edge and