Search Results for author: Maxim Fishman

Found 2 papers, 2 papers with code

Graph Representation Learning via Aggregation Enhancement

2 code implementations30 Jan 2022 Maxim Fishman, Chaim Baskin, Evgenii Zheltonozhskii, Almog David, Ron Banner, Avi Mendelson

Graph neural networks (GNNs) have become a powerful tool for processing graph-structured data but still face challenges in effectively aggregating and propagating information between layers, which limits their performance.

Data Augmentation Graph Representation Learning +3

Smoothed Inference for Adversarially-Trained Models

2 code implementations17 Nov 2019 Yaniv Nemcovsky, Evgenii Zheltonozhskii, Chaim Baskin, Brian Chmiel, Maxim Fishman, Alex M. Bronstein, Avi Mendelson

In this work, we study the application of randomized smoothing as a way to improve performance on unperturbed data as well as to increase robustness to adversarial attacks.

Adversarial Defense

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