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Bio-MemArt, a biometric-aware KV-cache memory framework for multi-user LLM agents that preserves latent-space retrieval, direct cache reuse, and decoupled position encoding while adding physical-user access control to shared KV memory is proposed.
Bio-Memory is proposed, a biometric-aware memory architecture that conditions memory retrieval on both semantic similarity and biometric matching and augments each atomic memory note with a biometric embedding and uses biometric matching to form the retrieval candidate pool before semantic ranking.
Adversarial robustness optimization aims to preserve correct prediction under adversarial perturbations, and has produced substantial robustness gains through methods such as adversarial training and adversarial purification. However, we identify a new security risk: these gains can create shared vulnerabilities across...
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