Data poisoning attacks in contextual bandits

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: … WebTrojAI Literature Review. The list below contains curated papers and arXiv articles that are related to Trojan attacks, backdoor attacks, and data poisoning on neural networks and machine learning systems. They are ordered "approximately" from most to least recent and articles denoted with a "*" mention the TrojAI program directly.

Data Poisoning Attacks in Contextual Bandits Papers With Code

WebFigure 3: Histograms of poisoning effort ratio in the offline attacks. - "Data Poisoning Attacks on Stochastic Bandits" WebSep 26, 2024 · Data Poisoning Attacks in Contextual Bandits: 9th International Conference, GameSec 2024, Seattle, WA, USA, October 29–31, 2024, Proceedings September 2024 DOI: 10.1007/978-3-030-01554-1_11 iron hunting knives https://centerstagebarre.com

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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 … WebY. Ma, K.-S. Jun, L. Li, and J. Zhu: Data poisoning attacks in contextual bandits. In the 9th Conference on Decision and Game Theory for Security (GameSec), ... L. Li, W. Chu, J. Langford, and R.E. Schapire: A contextual-bandit approach to personalized news article recommendation. In the 19th International Conference on World Wide Web ... 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. port of poulsbo

Adversarial attacks on stochastic bandits Proceedings of the …

Category:[2002.03839] Adversarial Attacks on Linear Contextual Bandits - arXiv.org

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Data poisoning attacks in contextual bandits

Guanlin Liu, Lifeng Lai arXiv:2112.05367v1 [cs.LG] 10 Dec 2024

WebSep 26, 2024 · Abstract. We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online … 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 …

Data poisoning attacks in contextual bandits

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WebFeb 10, 2024 · Adversarial Attacks on Linear Contextual Bandits. Contextual bandit algorithms are applied in a wide range of domains, from advertising to recommender systems, from clinical trials to education. In many of these domains, malicious agents may have incentives to attack the bandit algorithm to induce it to perform a desired behavior. WebMay 16, 2024 · Stochastic multi-armed bandits form a class of online learning problems that have important applications in online recommendation systems, adaptive medical …

WebDec 1, 2024 · By using a novel contextual multi-armed bandit-based algorithm to balance the accuracy and efficiency, we propose a context-based online big-data-oriented … WebAug 17, 2024 · We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online recommendation …

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 … WebAug 17, 2024 · We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online recommendation …

WebWe study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online recommendation and adaptive …

WebApr 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 … port of poulsbo marina moorageWebUpload an image to customize your repository’s social media preview. Images should be at least 640×320px (1280×640px for best display). port of poulsbo mapWebFigure 1: Offline attack system model - "Data Poisoning Attacks on Stochastic Bandits" iron hut cityWebAug 27, 2024 · For example, you can use a contextual bandit to select which news article to show first on the main page of your website to optimize click through rate. The context is information about the user: where they come from, previously visited pages of the site, device information, geolocation, etc. An action is a choice of what news article to display. iron hutWebWe study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online recommendation and adaptive medical treatment, among others. We provide a general attack framework … port of prayerWebDec 11, 2024 · X-armed bandits have achieved the state-of-the-art performance in optimizing unknown stochastic continuous functions, which can model many machine … iron hutchWebcontextual bandit. We also investigate the feasibility and the side effects of such attacks, and identify future directions for defense. Experiments on both synthetic and real-world … port of poulsbo wa