Data poisoning attacks in contextual bandits

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August undefined, 2024

WebFeb 10, 2024 · Adversarial Attacks on Linear Contextual Bandits. Contextual bandit algorithms are applied in a wide range of domains, from advertising to recommender … WebAug 17, 2024 · We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online recommendation …

Data Poisoning Attack to X-armed Bandits IEEE Conference Publicatio…

WebUpload an image to customize your repository’s social media preview. Images should be at least 640×320px (1280×640px for best display). 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 … how fast can a fan spin

[2002.03839] Adversarial Attacks on Linear Contextual …

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 WebIn 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 WebFeb 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) … high court facebook

Figure 1 from Data Poisoning Attacks on Stochastic Bandits

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. WebFigure 1: Offline attack system model - "Data Poisoning Attacks on Stochastic Bandits" high court factsWebSyndicated Bandits: A Framework for Auto Tuning Hyper-parameters in Contextual Bandit Algorithms QIN DING, Yue Kang, Yi-Wei Liu, Thomas Chun Man Lee, Cho-Jui Hsieh, James Sharpnack; ... A Powerful Defense against Data Poisoning Attack Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman; high court family division judgments

"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 … " - Data poisoning attacks in contextual bandits

Data poisoning attacks in contextual bandits

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

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WebUpload an image to customize your repository’s social media preview. Images should be at least 640×320px (1280×640px for best display). 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. 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. 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 … 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.

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 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 … high court exam resultsWebData Poisoning, Backdoor Attacks, and Defenses Micah Goldblum*1, Dimitris Tsipras2, ... Contextual bandits, often used in adaptive medical treatment, can be manipulated by … high court family division emailWebIn 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 fast can a garbage truck goWebMay 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 ... high court familyWebMay 16, 2024 · Data Poisoning Attacks on Stochastic Bandits. Fang Liu, Ness Shroff. Stochastic multi-armed bandits form a class of online learning problems that have … high court expressWebData poisoning attacks in contextual bandits. In Conference on Decision and Game Theory for Security (GameSec), 2024 Xuezhou Zhang, Xiaojin Zhu, and Stephen Wright. … how fast can a ford focus goWebSep 26, 2024 · Abstract. We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online … high court exam 2023