Détail du document
Identifiant
oai:arXiv.org:2403.10313
Sujet
Computer Science - Cryptography an... Computer Science - DatabasesAuteur
Fu, Yue Ye, Qingqing Du, Rong Hu, HaiboCatégorie
Computer Science
Année
2024
Date de référencement
20/03/2024
Mots clés
trimming poisoning attacks model dataRésumé
With the exponential growth of data and its crucial impact on our lives and decision-making, the integrity of data has become a significant concern.
Malicious data poisoning attacks, where false values are injected into the data, can disrupt machine learning processes and lead to severe consequences.
To mitigate these attacks, distance-based defenses, such as trimming, have been proposed, but they can be easily evaded by white-box attackers.
The evasiveness and effectiveness of poisoning attack strategies are two sides of the same coin, making game theory a promising approach.
However, existing game-theoretical models often overlook the complexities of online data poisoning attacks, where strategies must adapt to the dynamic process of data collection.
In this paper, we present an interactive game-theoretical model to defend online data manipulation attacks using the trimming strategy.
Our model accommodates a complete strategy space, making it applicable to strong evasive and colluding adversaries.
Leveraging the principle of least action and the Euler-Lagrange equation from theoretical physics, we derive an analytical model for the game-theoretic process.
To demonstrate its practical usage, we present a case study in a privacy-preserving data collection system under local differential privacy where a non-deterministic utility function is adopted.
Two strategies are devised from this analytical model, namely, Tit-for-tat and Elastic.
We conduct extensive experiments on real-world datasets, which showcase the effectiveness and accuracy of these two strategies.
;Comment: This manuscript is accepted by ICDE '24
Fu, Yue,Ye, Qingqing,Du, Rong,Hu, Haibo, 2024, Interactive Trimming against Evasive Online Data Manipulation Attacks: A Game-Theoretic Approach
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