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Influence Function based Data Poisoning Attacks to Top-N Recommender
  Systems

Influence Function based Data Poisoning Attacks to Top-N Recommender Systems

19 February 2020
Minghong Fang
Neil Zhenqiang Gong
Jia-Wei Liu
    TDI
ArXivPDFHTML

Papers citing "Influence Function based Data Poisoning Attacks to Top-N Recommender Systems"

15 / 15 papers shown
Title
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
J. Zhang
Huan Li
Dazhong Rong
Yan Zhao
Ke Chen
Lidan Shou
AAML
75
4
0
18 Feb 2025
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
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
15
13
0
26 Mar 2023
FairRoad: Achieving Fairness for Recommender Systems with Optimized
  Antidote Data
FairRoad: Achieving Fairness for Recommender Systems with Optimized Antidote Data
Minghong Fang
Jia-Wei Liu
Michinari Momma
Yi Sun
22
4
0
13 Dec 2022
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in
  Contrastive Learning
PoisonedEncoder: Poisoning the Unlabeled Pre-training Data in Contrastive Learning
Hongbin Liu
Jinyuan Jia
Neil Zhenqiang Gong
25
34
0
13 May 2022
FedRecAttack: Model Poisoning Attack to Federated Recommendation
FedRecAttack: Model Poisoning Attack to Federated Recommendation
Dazhong Rong
Shuai Ye
Ruoyan Zhao
Hon Ning Yuen
Jianhai Chen
Qinming He
AAML
FedML
16
57
0
01 Apr 2022
PipAttack: Poisoning Federated Recommender Systems forManipulating Item
  Promotion
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion
Shijie Zhang
Hongzhi Yin
Tong Chen
Zi Huang
Quoc Viet Hung Nguyen
Li-zhen Cui
FedML
AAML
14
96
0
21 Oct 2021
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
17
34
0
22 Jul 2021
Adversarial Examples Make Strong Poisons
Adversarial Examples Make Strong Poisons
Liam H. Fowl
Micah Goldblum
Ping Yeh-Chiang
Jonas Geiping
Wojtek Czaja
Tom Goldstein
SILM
23
131
0
21 Jun 2021
Quantitative robustness of instance ranking problems
Quantitative robustness of instance ranking problems
Tino Werner
16
2
0
12 Mar 2021
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
Data Poisoning Attacks and Defenses to Crowdsourcing Systems
Minghong Fang
Minghao Sun
Qi Li
Neil Zhenqiang Gong
Jinhua Tian
Jia-Wei Liu
47
34
0
18 Feb 2021
Data Poisoning Attacks to Deep Learning Based Recommender Systems
Data Poisoning Attacks to Deep Learning Based Recommender Systems
Hai Huang
Jiaming Mu
Neil Zhenqiang Gong
Qi Li
Bin Liu
Mingwei Xu
AAML
20
129
0
07 Jan 2021
Robust and Verifiable Information Embedding Attacks to Deep Neural
  Networks via Error-Correcting Codes
Robust and Verifiable Information Embedding Attacks to Deep Neural Networks via Error-Correcting Codes
Jinyuan Jia
Binghui Wang
Neil Zhenqiang Gong
AAML
27
5
0
26 Oct 2020
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and
  Data Poisoning Attacks
Just How Toxic is Data Poisoning? A Unified Benchmark for Backdoor and Data Poisoning Attacks
Avi Schwarzschild
Micah Goldblum
Arjun Gupta
John P. Dickerson
Tom Goldstein
AAML
TDI
13
162
0
22 Jun 2020
Data Poisoning Attacks to Local Differential Privacy Protocols
Data Poisoning Attacks to Local Differential Privacy Protocols
Xiaoyu Cao
Jinyuan Jia
Neil Zhenqiang Gong
AAML
25
76
0
05 Nov 2019
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