site stats

Data poisoning attacks in contextual bandits

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

Data Poisoning Attacks in Contextual Bandits: 9th International ...

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. 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) times over a horizon of T steps, while applying adversarial modifications to either rewards or contexts that only grow logarithmically as O (log T). We also investigate the case when a ... jays potato chips customer service phone https://pichlmuller.com

Data Poisoning Attacks in Contextual Bandits: 9th International ...

WebFigure 3: Histograms of poisoning effort ratio in the offline attacks. - "Data Poisoning Attacks on Stochastic Bandits" WebIn 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 ... 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. jays potato chips order online

Book - proceedings.neurips.cc

Category:Data Poisoning Attacks on Stochastic Bandits DeepAI

Tags:Data poisoning attacks in contextual bandits

Data poisoning attacks in contextual bandits

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

WebData Poisoning, Backdoor Attacks, and Defenses Micah Goldblum*1, Dimitris Tsipras2, ... Contextual bandits, often used in adaptive medical treatment, can be manipulated by … WebMay 16, 2024 · Stochastic multi-armed bandits form a class of online learning problems that have important applications in online recommendation systems, adaptive medical …

Data poisoning attacks in contextual bandits

Did you know?

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 … WebSyndicated 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;

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.

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) … 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 ...

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 … jays potato chips vintage tinWebAug 17, 2024 · We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online recommendation … low top all star converseWebon 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 jays potato chips tin signWebMay 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 … jays prehistoric pets abuse animalsWebSep 26, 2024 · Data Poisoning Attacks in Contextual Bandits: 9th International Conference, GameSec 2024, Seattle, WA, USA, October 29–31, 2024, Proceedings … low top allen iverson shoesWebAug 17, 2024 · We study offline data poisoning attacks in contextual bandits, a class of reinforcement learning problems with important applications in online recommendation … low top bball shoesWebDec 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 … low top athletic shoes