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Conflicting Interactions Among Protection Mechanisms for Machine
  Learning Models

Conflicting Interactions Among Protection Mechanisms for Machine Learning Models

5 July 2022
S. Szyller
Nadarajah Asokan
    AAML
ArXivPDFHTML

Papers citing "Conflicting Interactions Among Protection Mechanisms for Machine Learning Models"

6 / 6 papers shown
Title
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense
Kirill Lukyanov
Mikhail Drobyshevskiy
Georgii Sazonov
Mikhail Soloviov
Ilya Makarov
GNN
46
0
0
06 May 2025
Robustness questions the interpretability of graph neural networks: what to do?
Robustness questions the interpretability of graph neural networks: what to do?
Kirill Lukyanov
Georgii Sazonov
Serafim Boyarsky
Ilya Makarov
AAML
143
0
0
05 May 2025
Diffusion Models for Adversarial Purification
Diffusion Models for Adversarial Purification
Weili Nie
Brandon Guo
Yujia Huang
Chaowei Xiao
Arash Vahdat
Anima Anandkumar
WIGM
195
418
0
16 May 2022
Increasing the Cost of Model Extraction with Calibrated Proof of Work
Increasing the Cost of Model Extraction with Calibrated Proof of Work
Adam Dziedzic
Muhammad Ahmad Kaleem
Y. Lu
Nicolas Papernot
FedML
MIACV
AAML
MLAU
57
28
0
23 Jan 2022
Dataset Inference: Ownership Resolution in Machine Learning
Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini
Mohammad Yaghini
Nicolas Papernot
FedML
69
103
0
21 Apr 2021
Cryptanalytic Extraction of Neural Network Models
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
FedML
MLAU
MIACV
AAML
70
134
0
10 Mar 2020
1