Data poisoning attacks in contextual bandits
WebDec 10, 2024 · In this paper, we propose a new class of attacks: action poisoning attacks, where an adversary can change the action signal selected by the agent. We design … WebMar 30, 2024 · 攻击方法：. 1）Functional Adversarial Attacks 2）Improving Black-box Adversarial Attacks with a Transfer-based Prior 3）Cross-Domain Transferability of Adversarial Perturbations 4）Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks 5）A Unified Framework for Data Poisoning Attack to …
Data poisoning attacks in contextual bandits
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WebDepending on the target of the poisoning attacks, the poisoning attacks against contextual linear bandits can be categorized into four types: reward poisoning attack, action poisoning attack, context poisoning attack and the mix of them. In this paper, we aim to investigate the impact of action poisoning attacks on contextual bandit models. WebDec 10, 2024 · In order to develop trustworthy contextual bandit systems, understanding the impacts of various adversarial attacks on contextual bandit algorithms is essential. …
WebData Poisoning Attacks in Contextual Bandits. Authors: Ma, Yuzhe; Jun, Kwang-Sung; Li, Lihong; Zhu, Xiaojin Award ID(s): 1704117 Publication Date: 2024-01-01 NSF-PAR ID: … WebData Poisoning Attacks in Contextual Bandits 3 Formally, a contextual bandit has a set Xof contexts and a set A= f1;2;:::;Kgof K arms. A contextual bandit algorithm proceeds …
WebAug 17, 2024 · We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online recommendation … Webon when and where the attack happens. In a typical data poisoning attack (a.k.a. training-time attack) setting, the attacker tampers the training data during training time to downgrade the utility of the learned model. On the other hand, in adver-sarial examples (a.k.a test-time attack), the attacker manipulates features of a target
WebMay 16, 2024 · Stochastic multi-armed bandits form a class of online learning problems that have important applications in online recommendation systems, adaptive medical treatment, and many others. Even though potential attacks against these learning algorithms may hijack their behavior, causing catastrophic loss in real-world applications, little is known ...
WebFigure 1: Offline attack system model - "Data Poisoning Attacks on Stochastic Bandits" how do you calculate your mortgageWebSep 26, 2024 · Abstract. We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online … pho on 242WebIn addition to disclosing the security hole, we design a novel countermeasure for poisoning attacks on FedRecs. Specifically, we propose a hierarchical gradient clipping with sparsified updating to defend against existing poisoning attacks. The empirical results demonstrate that the proposed defending mechanism improves the robustness of ... how do you calculate your net worthWebApr 20, 2024 · Data poisoning attacks in contextual bandits. In International Conference on Decision and Game Theory for Security. Springer, 186–204. Google Scholar Cross Ref; Yao Ma, Suhang Wang, Charu C Aggarwal, and Jiliang Tang. 2024. Graph convolutional networks with eigenpooling. In Proceedings of the 25th ACM SIGKDD International … how do you calculate your paycheck amountWebUpload an image to customize your repository’s social media preview. Images should be at least 640×320px (1280×640px for best display). pho old saigonWebFeb 10, 2024 · In this paper, we study several attack scenarios and show that a malicious agent can force a linear contextual bandit algorithm to pull any desired arm T - o (T) … how do you calibrate a smartboardWebUpload an image to customize your repository’s social media preview. Images should be at least 640×320px (1280×640px for best display). pho on 43rd ave and thomas