Conflicting Interactions Among Protection Mechanisms for Machine
Learning Models

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Conflicting Interactions Among Protection Mechanisms for Machine Learning Models

5 July 2022

Nadarajah Asokan

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

9 / 9 papers shown

Title
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 116 0 0 06 May 2025
Robustness questions the interpretability of graph neural networks: what to do? Kirill Lukyanov Georgii Sazonov Serafim Boyarsky Ilya Makarov AAML 461 0 0 05 May 2025
Fortify Your Foundations: Practical Privacy and Security for Foundation Model Deployments In The Cloud Marcin Chrapek Anjo Vahldiek-Oberwagner Marcin Spoczynski Scott Constable Mona Vij Torsten Hoefler 74 1 0 08 Oct 2024
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion Markus Frey Sichu Liang Wentao Hu Matthias Nau Ju Jia Shilin Wang AAML 89 4 0 21 Apr 2024
Adversarial Attacks and Defenses in Fault Detection and Diagnosis: A Comprehensive Benchmark on the Tennessee Eastman Process Vitaliy Pozdnyakov Aleksandr Kovalenko Ilya Makarov Mikhail Drobyshevskiy Kirill Lukyanov AAML 60 6 0 20 Mar 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 147 2 0 07 Dec 2023
On the Robustness of Dataset Inference S. Szyller Rui Zhang Enchao Gong Nadarajah Asokan AAML 62 6 0 24 Oct 2022
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 160 137 0 10 Mar 2020
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.2K 17,124 0 16 Feb 2016

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