ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2508.16937
  4. Cited By
NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability

NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2025
23 August 2025
Krishna Kanth Nakka
Alexandre Alahi
    AAML
ArXiv (abs)PDFHTMLGithub (17122★)

Papers citing "NAT: Learning to Attack Neurons for Enhanced Adversarial Transferability"

3 / 3 papers shown
Title
Improving Black-Box Generative Attacks via Generator Semantic Consistency
Improving Black-Box Generative Attacks via Generator Semantic Consistency
Jongoh Jeong
Hunmin Yang
Jaeseok Jeong
Kuk-Jin Yoon
AAML
295
0
0
23 Jun 2025
Prompt-Driven Contrastive Learning for Transferable Adversarial Attacks
Prompt-Driven Contrastive Learning for Transferable Adversarial AttacksEuropean Conference on Computer Vision (ECCV), 2024
Hunmin Yang
Jongoh Jeong
Kuk-Jin Yoon
AAMLVLM
355
9
0
30 Jul 2024
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable ConvolutionsComputer Vision and Pattern Recognition (CVPR), 2016
François Chollet
MDEBDLPINN
2.5K
16,441
0
07 Oct 2016
1