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 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.
Data Poisoning Attacks on Stochastic Bandits DeepAI
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. 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. cfp fp517
Data Poisoning Attacks in Contextual Bandits DeepAI
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 … WebSep 26, 2024 · Data Poisoning Attacks in Contextual Bandits: 9th International Conference, GameSec 2024, Seattle, WA, USA, October 29–31, 2024, Proceedings … WebDec 10, 2024 · In order to develop trustworthy contextual bandit systems, understanding the impacts of various adversarial attacks on contextual bandit algorithms is essential. … byars furniture philadelphia