Herd Accountability of Privacy-Preserving Algorithms: A Stackelberg Game Approach

AI-driven algorithmic systems are increasingly adopted across various sectors, yet the lack of transparency can raise accountability concerns about claimed privacy protection measures. While machine-based audits offer one avenue for addressing these issues, they are often costly and time-consuming....

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Veröffentlicht in:	IEEE transactions on information forensics and security Jg. 20; S. 2237 - 2251
Hauptverfasser:	Yang, Ya-Ting, Zhang, Tao, Zhu, Quanyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	accountability Accuracy Algorithm audit Costs Differential privacy Games Government Machine learning algorithms Privacy Protection rational inattention Stackelberg game Training Uniform resource locators
ISSN:	1556-6013, 1556-6021
Online-Zugang:	Volltext
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