Jul 1, 2024 · This paper demonstrates that an adversary can manipulate the DRL-based recommender system by injecting carefully designed user-system interaction records.
Jul 5, 2024 · The poisoning attack against the. DRL-based recommender system is formulated as a non-convex integer programming problem. To solve the problem, ...
Jul 18, 2024 · This paper demonstrates that an adversary can manipulate the DRL-based recommender system by injecting carefully designed user-system ...
This paper demonstrates that an adversary can manipulate the DRL-based recommender system by injecting carefully designed user-system interaction records. The ...
Jul 1, 2024 · PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems ; Pages, 1331-1344 ; ISBN (Electronic), 9798400704826.
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What are the attacks on recommender system?
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Jan 14, 2024 · This survey paper provides a systematic and up-to-date review of the research landscape on Poisoning Attacks against Recommendation (PAR).
Oct 7, 2023 · In this paper, we propose a novel reward poisoning adversarial attack method that employs the exploration strategy of reinforcement learning to help ...
This work conducts the first systematic study on data poisoning attacks to deep learning based recommender systems, and formulate the attack as an optimization ...
In reward-poisoning attacks against reinforcement learning (RL), an attacker can perturb the environ- ment reward rt into rt + δt at each step, with the goal of ...
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Jan 14, 2024 · Modern recommender systems have seen substan- tial success, yet they remain vulnerable to mali- cious activities, notably poisoning attacks.
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