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2008.04876
Cited By
Revisiting Adversarially Learned Injection Attacks Against Recommender Systems
11 August 2020
Jiaxi Tang
Hongyi Wen
Ke Wang
AAML
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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
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
Joachim Baumann
Celestine Mendler-Dünner
89
3
0
17 Jan 2025
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
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
Chengzhi Huang
Hui Li
29
13
0
21 Aug 2023
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
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
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
Zhuoran Liu
Martha Larson
DiffM
28
27
0
02 Jun 2020
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
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
457
11,715
0
09 Mar 2017
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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