Extraction of Complex DNN Models: Real Threat or Boogeyman?

11 October 2019

Papers citing "Extraction of Complex DNN Models: Real Threat or Boogeyman?"

8 / 8 papers shown

Title
Attackers Can Do Better: Over- and Understated Factors of Model Stealing Attacks Daryna Oliynyk Rudolf Mayer Andreas Rauber AAML 44 0 0 08 Mar 2025
Stolen Subwords: Importance of Vocabularies for Machine Translation Model Stealing Vilém Zouhar AAML 35 0 0 29 Jan 2024
GrOVe: Ownership Verification of Graph Neural Networks using Embeddings Asim Waheed Vasisht Duddu Nadarajah Asokan 35 9 0 17 Apr 2023
Careful What You Wish For: on the Extraction of Adversarially Trained Models Kacem Khaled Gabriela Nicolescu F. Magalhães MIACV AAML 24 4 0 21 Jul 2022
I Know What You Trained Last Summer: A Survey on Stealing Machine Learning Models and Defences Daryna Oliynyk Rudolf Mayer Andreas Rauber 39 106 0 16 Jun 2022
SoK: How Robust is Image Classification Deep Neural Network Watermarking? (Extended Version) Nils Lukas Edward Jiang Xinda Li Florian Kerschbaum AAML 28 86 0 11 Aug 2021
HODA: Hardness-Oriented Detection of Model Extraction Attacks A. M. Sadeghzadeh Amir Mohammad Sobhanian F. Dehghan R. Jalili MIACV 17 7 0 21 Jun 2021
Model extraction from counterfactual explanations Ulrich Aivodji Alexandre Bolot Sébastien Gambs MIACV MLAU 25 51 0 03 Sep 2020