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Conflicting Interactions Among Protection Mechanisms for Machine
Learning Models

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Conflicting Interactions Among Protection Mechanisms for Machine Learning Models

AAAI Conference on Artificial Intelligence (AAAI), 2022

5 July 2022

Nadarajah Asokan

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

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Confidential LLM Inference: Performance and Cost Across CPU and GPU TEEs Marcin Chrapek Marcin Copik Etienne Mettaz Torsten Hoefler 40 0 0 23 Sep 2025
Amulet: a Python Library for Assessing Interactions Among ML Defenses and Risks Asim Waheed Vasisht Duddu Rui Zhang S. Szyller AAML 181 1 0 15 Sep 2025
Evading Data Provenance in Deep Neural Networks Hongyu Zhu Sichu Liang Wenwen Wang Zhuomeng Zhang Fangqi Li Shi-Lin Wang AAML 223 1 0 01 Aug 2025
Framework GNN-AID: Graph Neural Network Analysis Interpretation and Defense Kirill Lukyanov Mikhail Drobyshevskiy Georgii Sazonov Mikhail Soloviov Ilya Makarov GNN 359 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 820 1 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 230 4 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 244 10 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 177 11 0 20 Mar 2024
SoK: Unintended Interactions among Machine Learning Defenses and Risks Vasisht Duddu S. Szyller Nadarajah Asokan AAML 339 6 0 07 Dec 2023
On the Robustness of Dataset Inference S. Szyller Rui Zhang Enchao Gong Nadarajah Asokan AAML 229 8 0 24 Oct 2022
Cryptanalytic Extraction of Neural Network ModelsAnnual International Cryptology Conference (CRYPTO), 2020 Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 391 151 0 10 Mar 2020
"Why Should I Trust You?": Explaining the Predictions of Any Classifier Marco Tulio Ribeiro Sameer Singh Carlos Guestrin FAtt FaML 1.9K 19,237 0 16 Feb 2016