ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.18244
  4. Cited By
Unveiling Vulnerabilities of Contrastive Recommender Systems to
  Poisoning Attacks

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks

30 November 2023
Zongwei Wang
Junliang Yu
Min Gao
Hongzhi Yin
Bin Cui
S. Sadiq
    AAML
ArXivPDFHTML

Papers citing "Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks"

3 / 3 papers shown
Title
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
Yuchuan Zhao
Tong Chen
Junliang Yu
Kai Zheng
Lizhen Cui
Hongzhi Yin
21
0
0
09 Apr 2025
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation
Wei Wang
Yujie Lin
Jianli Zhao
M. Zhang
Pengjie Ren
Xianye Ben
Y. Li
AI4TS
72
0
0
26 Mar 2025
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems
Z. Wang
Min Gao
Junliang Yu
Xinyi Gao
Quoc Viet Hung Nguyen
S. Sadiq
Hongzhi Yin
AAML
39
3
0
18 Sep 2024
1