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. 1906.03397
  4. Cited By
Making targeted black-box evasion attacks effective and efficient

Making targeted black-box evasion attacks effective and efficient

8 June 2019
Mika Juuti
B. Atli
Nadarajah Asokan
    AAMLMIACVMLAU
ArXiv (abs)PDFHTML

Papers citing "Making targeted black-box evasion attacks effective and efficient"

3 / 3 papers shown
Title
Only My Model On My Data: A Privacy Preserving Approach Protecting one
  Model and Deceiving Unauthorized Black-Box Models
Only My Model On My Data: A Privacy Preserving Approach Protecting one Model and Deceiving Unauthorized Black-Box Models
Weiheng Chai
Brian Testa
Huantao Ren
Asif Salekin
Senem Velipasalar
27
0
0
14 Feb 2024
A Generative Model based Adversarial Security of Deep Learning and
  Linear Classifier Models
A Generative Model based Adversarial Security of Deep Learning and Linear Classifier Models
Ferhat Ozgur Catak
Samed Sivaslioglu
Kevser Sahinbas
AAML
58
7
0
17 Oct 2020
Blacklight: Scalable Defense for Neural Networks against Query-Based
  Black-Box Attacks
Blacklight: Scalable Defense for Neural Networks against Query-Based Black-Box Attacks
Huiying Li
Shawn Shan
Emily Wenger
Jiayun Zhang
Haitao Zheng
Ben Y. Zhao
AAML
73
45
0
24 Jun 2020
1