Expand-and-Cluster: Parameter Recovery of Neural Networks

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Expand-and-Cluster: Parameter Recovery of Neural Networks

International Conference on Machine Learning (ICML), 2023

25 April 2023

Flavio Martinelli

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Papers citing "Expand-and-Cluster: Parameter Recovery of Neural Networks"

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Title
Data Augmentation Techniques to Reverse-Engineer Neural Network Weights from Input-Output Queries Alexander Beiser Flavio Martinelli W. Gerstner Johanni Brea 140 0 0 25 Nov 2025
Delving into Cryptanalytic Extraction of PReLU Neural Networks Yi Chen Xiaoyang Dong Ruijie Ma Yantian Shen Anyu Wang Hongbo Yu Xiaoyun Wang AAML 68 2 0 20 Sep 2025
Navigating the Deep: Signature Extraction on Deep Neural Networks Haolin Liu Adrien Siproudhis Samuel Experton Peter Lorenz Christina Boura Thomas Peyrin AAML 110 1 0 20 Jun 2025
Identifiability of Deep Polynomial Neural Networks K. Usevich Clara Dérand Ricardo Augusto Borsoi Marianne Clausel 175 3 0 20 Jun 2025
Flat Channels to Infinity in Neural Loss Landscapes Flavio Martinelli Alexander Van Meegen Berfin Simsek W. Gerstner Johanni Brea 221 2 0 17 Jun 2025
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU NetworksInternational Conference on Learning Representations (ICLR), 2025 Devon Jarvis Richard Klein Benjamin Rosman Andrew M. Saxe MLT 312 2 0 08 Mar 2025
Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional ConvergenceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Berfin Simsek Amire Bendjeddou Daniel Hsu 337 4 0 13 Nov 2024
Measuring and Controlling Solution Degeneracy across Task-Trained Recurrent Neural Networks Ann Huang Satpreet H. Singh Flavio Martinelli Kanaka Rajan 254 7 0 04 Oct 2024
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