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Revisiting Adversarially Learned Injection Attacks Against Recommender
  Systems

Revisiting Adversarially Learned Injection Attacks Against Recommender Systems

11 August 2020
Jiaxi Tang
Hongyi Wen
Ke Wang
    AAML
ArXivPDFHTML

Papers citing "Revisiting Adversarially Learned Injection Attacks Against Recommender Systems"

12 / 12 papers shown
Title
Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems
Get the Agents Drunk: Memory Perturbations in Autonomous Agent-based Recommender Systems
Shiyi Yang
Zhibo Hu
Chen Wang
Tong Yu
Xiwei Xu
Liming Zhu
Lina Yao
AAML
42
0
0
31 Mar 2025
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Algorithmic Collective Action in Recommender Systems: Promoting Songs by Reordering Playlists
Joachim Baumann
Celestine Mendler-Dünner
89
3
0
17 Jan 2025
Data Watermarking for Sequential Recommender Systems
Data Watermarking for Sequential Recommender Systems
Sixiao Zhang
Cheng Long
Wei Yuan
Hongxu Chen
Hongzhi Yin
14
0
0
20 Nov 2024
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
Towards Robust Recommendation: A Review and an Adversarial Robustness Evaluation Library
Lei Cheng
Xiaowen Huang
Jitao Sang
Jian Yu
AAML
25
1
0
27 Apr 2024
Single-User Injection for Invisible Shilling Attack against Recommender
  Systems
Single-User Injection for Invisible Shilling Attack against Recommender Systems
Chengzhi Huang
Hui Li
29
13
0
21 Aug 2023
The GANfather: Controllable generation of malicious activity to improve
  defence systems
The GANfather: Controllable generation of malicious activity to improve defence systems
Ricardo Pereira
Jacopo Bono
João Tiago Ascensão
David Oliveira Aparício
Pedro Ribeiro
P. Bizarro
AAML
23
2
0
25 Jul 2023
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks
PORE: Provably Robust Recommender Systems against Data Poisoning Attacks
Jinyuan Jia
Yupei Liu
Yuepeng Hu
Neil Zhenqiang Gong
29
13
0
26 Mar 2023
Ready for Emerging Threats to Recommender Systems? A Graph
  Convolution-based Generative Shilling Attack
Ready for Emerging Threats to Recommender Systems? A Graph Convolution-based Generative Shilling Attack
Fan Wu
Min Gao
Junliang Yu
Zongwei Wang
Kecheng Liu
Wange Xu
AAML
21
34
0
22 Jul 2021
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N
  Recommenders that Use Images to Address Cold Start
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
Zhuoran Liu
Martha Larson
DiffM
28
27
0
02 Jun 2020
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
110
718
0
13 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
457
11,715
0
09 Mar 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
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