A Cheat-Sensitive Primitive for Destination-Private Quantum Routing
Quantum networks will rely on intermediate nodes to distribute entanglement, but the same nodes may learn which users ar
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← 返回归档列表Quantum networks will rely on intermediate nodes to distribute entanglement, but the same nodes may learn which users ar
Machine unlearning is seen as a promising approach to enable users to exercise the "right to erasure" in the context of
Modern TTS systems increasingly generate synthetic speech at scale for diverse users. This setting calls for content-lev
Fully homomorphic encryption allows arithmetic to be carried out on encrypted values, so that a party performing a compu
Matter aims to unify smart home ecosystems through an open, interoperable, and secure standard, relying on cryptographic
Split learning lets a client train a language model on a server without sending its text. The client runs the first laye
Dense embedding models are core to modern text retrieval, enabling systems ranging from web search to retrieval-augmente
Space infrastructures play critical roles in modern society, including satellite communications (SATCOM). Like the Inter
Instruction fine-tuning adapts a pretrained language model to follow instructions by training it on instruction--respons
We show that if quantum commitments exist, then either there is no polynomial-time solution to the unitary synthesis pro
Quantum fire is a recently introduced cryptographic primitive consisting of efficiently preparable quantum states, calle
We present a unified framework for upgrading a broad class of cryptographic primitives to support constant-rate certifie
Recent studies have shown that most commercial direct time-of-flight (dToF) LiDARs can be spoofed by injecting high-freq
A reasoning model asked whether a causal effect is recoverable from observational data can fail in two ways: it refuses
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