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SpexPay achieves strong unlinkability and verifiable accountability in spectrum sharing, enabling privacy-preserving payments without revealing user identities.
A malicious parameter server can exploit parameter-efficient fine-tuning to implant a privacy backdoor that reconstructs training data with alarming accuracy.
Bridge the trust gap in cloud-based LLM services with AFTUNE, a practical framework that lets you audit proprietary fine-tuning and inference without prohibitive overhead.
