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. 2203.10166
  4. Cited By
Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike

Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike

18 March 2022
Johannes Schneider
Giovanni Apruzzese
    AAML
ArXivPDFHTML

Papers citing "Concept-based Adversarial Attacks: Tricking Humans and Classifiers Alike"

1 / 1 papers shown
Title
"Real Attackers Don't Compute Gradients": Bridging the Gap Between
  Adversarial ML Research and Practice
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice
Giovanni Apruzzese
Hyrum S. Anderson
Savino Dambra
D. Freeman
Fabio Pierazzi
Kevin A. Roundy
AAML
31
75
0
29 Dec 2022
1