Based on real-world data, we simulate our approach and evaluate its performance under data poisoning attacks, demonstrating the robustness of our approach.
Abstract—Nowadays most mobile devices are equipped with advanced sensors, enabling the measurement of information about surrounding environment or social ...
In this paper, we investigate the data poisoning attacks on truth discovery and propose a robust approach against such attacks through additional source.
Feb 21, 2024 · First, we implement one of the most widely used truth discovery frameworks, and verify its vulnerability to multi-round data poisoning attacks.
Nov 24, 2022 · Crowdsensing systems collect multidimensional and heterogeneous data using sensing devices of individuals (called workers).
Therefore, in this paper we study the attack and defense methods for multi-round data poisoning against truth discovery in crowdsensing systems. First, we ...
Existing works focused on robustness against traditional poisoning attacks [13], [28], [29], [30], [31] , [32] and defenses that aim to repair poisoned datasets ...
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Crowdsensing systems collect multidimensional and heterogeneous data using sensing devices of individuals (called workers). However, there are often.
In IEEE Transactions on Information Forensics and Security (TIFS), 2020. Robust Truth Discovery Against Data Poisoning in Mobile Crowdsensing Zonghao Huang ...
Jun 28, 2021 · This paper aims to tackle the problem of threat anticipation from the standpoint of data poisoning attacks, and aims to model various ...