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. 2303.07199
  4. Cited By
BeamAttack: Generating High-quality Textual Adversarial Examples through
  Beam Search and Mixed Semantic Spaces

BeamAttack: Generating High-quality Textual Adversarial Examples through Beam Search and Mixed Semantic Spaces

9 March 2023
Hai Zhu
Qingyang Zhao
Yuren Wu
    AAML
ArXivPDFHTML

Papers citing "BeamAttack: Generating High-quality Textual Adversarial Examples through Beam Search and Mixed Semantic Spaces"

2 / 2 papers shown
Title
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial
  Attack
LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack
HaiXiang Zhu
Zhaoqing Yang
Weiwei Shang
Yuren Wu
AAML
FAtt
10
3
0
01 Aug 2023
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
279
13,373
0
25 Aug 2014
1