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直接匹配不多,已補上最新動態。

Tag: #privacy-leak2 results

AgentLeak: Multi-Agent Privacy Leak Benchmark

AgentLeak: Multi-Agent Privacy Leak Benchmark

AgentLeak introduces the first full-stack benchmark for privacy leakage in multi-agent LLM systems, covering internal channels like inter-agent messages. It spans 1,000 scenarios across healthcare, finance, legal, and corporate domains. Tests on top models show internal channels cause 68.9% total leakage, missed by output audits.

ArXiv AIResearchFeb 13#research#agentleak#multi-agent
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影像解析度會改變模型的類腦評估結果

一篇預印本指出,在 V1 比較中,評估影像解析度會大幅改變哪種 CNN 學習規則看起來最接近人腦。研究涵蓋六種影像解析度,發現未訓練模型在 V1 的表面優勢很大程度上是評估解析度造成的,而 backpropagation 在 LOC 仍保有優勢。

Reddit r/MachineLearningCommunity1h ago#visual-cortex#rsa