5 citations · 11 across the 11 of their papers we have counts for
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cs.CR2026
When AI Meets Wall Street: A Survey on Trustworthy AI in Fintech
Qingwen Zeng, Zhenghao Zhao, Yitian Yang +6
Artificial intelligence is now embedded as a primary decision engine in continuously operated financial AI pipelines spanning training and updating, deployment and inference, and o…
cs.CR2024
DMS: Addressing Information Loss with More Steps for Pragmatic Adversarial Attacks
Zhiyu Zhu, Jiayu Zhang, Xinyi Wang +2
Despite the exceptional performance of deep neural networks (DNNs) across different domains, they are vulnerable to adversarial samples, in particular for tasks related to computer…
cs.CR2023★ 5 cited
Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios
Yanli Li, Huaming Chen, Wei Bao +2
Federated Learning (FL) is a promising technology that enables multiple actors to build a joint model without sharing their raw data. The distributed nature makes FL vulnerable to…