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. 2212.02582
  4. Cited By
Rethinking Backdoor Data Poisoning Attacks in the Context of
  Semi-Supervised Learning

Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning

5 December 2022
Marissa Connor
Vincent Emanuele
    SILM
    AAML
ArXivPDFHTML

Papers citing "Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning"

2 / 2 papers shown
Title
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
Poisoning the Unlabeled Dataset of Semi-Supervised Learning
Nicholas Carlini
AAML
149
68
0
04 May 2021
Clean-Label Backdoor Attacks on Video Recognition Models
Clean-Label Backdoor Attacks on Video Recognition Models
Shihao Zhao
Xingjun Ma
Xiang Zheng
James Bailey
Jingjing Chen
Yu-Gang Jiang
AAML
196
252
0
06 Mar 2020
1