Titlebook: Blockchain and Web3.0 Technology Innovation and Application; First Conference, BW Gansen Zhao,Jian Weng,Zibin Zheng Conference proceedings

愛社交

,DFADNet: A Diverse-Feature Adaptive Network for?Web3.0-Oriented Deep Forgery Detection,d videos. DFADnet comprises three essential components: TextureNoiseAdapt (TNA) for adaptive extraction of texture noise; SemanticGuidance (SG) for directing focus towards semantic inconsistencies indicative of tampering; and TemporalMultiscale (TMS) for analyzing temporal dynamics across video fram

Anthology

,Blockchain-Based Federated Recommendation with?Incentive Mechanism, select optimal clients that can maximize the social surplus. Finally, we employ blockchain for on-chain evidence storage of models to ensure the safety of the federated recommendation system. The experimental results show that our proposed incentive mechanism can attract clients with superior train

啜泣

揉雜

缺乏

superfluous

,Tailoring Noise to?Fit: An Adaptive Noise Optimization Mechanism Against Gradient Leakage,transmitting model updates. However, the Gradient Leakage Attack (GLA) can reconstruct clients’ local data through transmitted gradients, posing a significant privacy threat to FL. Existing defense strategies against the GLA have the following limitations: (1) cryptography-based defenses impose high

ESO

偏見

brother

,A Blockchain-Based Framework for?Crowdsourcing Evaluation of?Large Language Models,al human and material resources. This work proposes a crowdsourcing evaluation framework based on blockchain to comprehensively evaluate the toxicity of the outputs from LLMs. The framework offers LLM service to users and collects their evaluation scores for the outputs from the LLM. The evaluation

跳動(dòng)