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LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of artificial intelligence (AI) sys- tems, integrating LLMs with
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area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses”. Your work assignments Large language model (LLM) agents represent the next generation of
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agents, and their effects on particle morphology and filtration performance, providing opportunities to address more complex mechanistic questions. The duties may also include (e.g.) Research within
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agent of sexually transmitted infections. Within its host cell, the pathogen replicates within a membrane-bound compartment (the inclusion), whose stability depends on secreted bacterial effectors
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technical expertise. The obligate intracellular bacterial pathogen Chlamydia trachomatis is the most common infectious cause of blindness, as well as the most prevalent bacterial agent of sexually transmitted
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application! We are looking for three (3) PhD students to the new national center for cyber-resilient AI RESIST with the following topics: Secure AI-supported software development Resilient Agentic AI End
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will focus on developing theoretical and algorithmic foundations for goal-oriented, semantics-aware communication enabling timely and reliable cloud-to-agent interactions. For more details on semantic
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application! We are looking for a highly talented and motivated Ph.D. candidate to join our research team in the cutting-edge area of AI security, on the topic of “Memory Poisoning in LLM Agents: Foundations
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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, comparing it with other drug classes and countries. Applying a mixed-method approach, the project integrates qualitative case studies with quantitative Social Network Analysis, simulations (Agent-Based Models