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Poisoning attacks can severely undermine autonomous vehicle systems, but a new framework effectively filters out malicious influences to ensure safer decision-making.
LongRTL's innovative use of graph similarity allows LLMs to optimize complex RTL designs while maintaining functional integrity across long contexts.
Adaptively weighting defenses in federated learning lets you robustly handle diverse attacks without needing the dataset on the server.
Today's best multimodal LLMs still struggle to grasp fine-grained details and reason across multiple entities in images, even with access to external knowledge.
