Data poisoning attacks in contextual bandits
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 ... WebFigure 1: Offline attack system model - "Data Poisoning Attacks on Stochastic Bandits"
Data poisoning attacks in contextual bandits
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WebData poisoning attacks in contextual bandits. In Conference on Decision and Game Theory for Security (GameSec), 2024. Google Scholar Cross Ref; Ng, Andrew Y., Harada, Daishi, and Russell, Stuart J. Policy invariance under reward transformations: Theory and application to reward shaping. WebData poisoning attacks in contextual bandits. In Conference on Decision and Game Theory for Security (GameSec), 2024 Xuezhou Zhang, Xiaojin Zhu, and Stephen Wright. …
WebDec 11, 2024 · X-armed bandits have achieved the state-of-the-art performance in optimizing unknown stochastic continuous functions, which can model many machine … 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 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.
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WebWe 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 … how many carbs are in 2 slices of pizzaWebFeb 10, 2024 · Adversarial Attacks on Linear Contextual Bandits. Contextual bandit algorithms are applied in a wide range of domains, from advertising to recommender … high road macinnesWebcontextual 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 … high road low road song lyricsWebSep 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 high road london united kingdomWebIn this paper, we study the action poisoning attack against linear contextual bandit in both white-box and black-box settings. In the white-box setting, we assume that the attacker knows the coefficient vectors associated with arms. Thus, at each round, the attacker knows the mean rewards of all arms. While it is often unrealistic to exactly know how many carbs are in 2 graham crackersWebSep 26, 2024 · Abstract. We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online … high road malveiraWebData Poisoning, Backdoor Attacks, and Defenses Micah Goldblum*1, Dimitris Tsipras2, ... Contextual bandits, often used in adaptive medical treatment, can be manipulated by … high road low road scotland song