RoMA: a Method for Neural Network Robustness Measurement and Assessment

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RoMA: a Method for Neural Network Robustness Measurement and Assessment

21 October 2021

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Papers citing "RoMA: a Method for Neural Network Robustness Measurement and Assessment"

8 / 8 papers shown

Title
Towards Robust LLMs: an Adversarial Robustness Measurement Framework Natan Levy Adiel Ashrov Guy Katz AAML 83 0 0 24 Apr 2025
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 120 3 0 12 Apr 2024
Robust optimization for adversarial learning with finite sample complexity guarantees André Bertolace Konstatinos Gatsis Kostas Margellos AAML 66 1 0 22 Mar 2024
DEM: A Method for Certifying Deep Neural Network Classifier Outputs in Aerospace Guy Katz Natan Levy Idan Refaeli Raz Yerushalmi AAML 48 0 0 04 Jan 2024
Selecting Models based on the Risk of Damage Caused by Adversarial Attacks Jona Klemenc Holger Trittenbach AAML 62 1 0 28 Jan 2023
gRoMA: a Tool for Measuring the Global Robustness of Deep Neural Networks Natan Levy Raz Yerushalmi Guy Katz AAML 63 1 0 05 Jan 2023
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System Guy Amir Ziv Freund Guy Katz Elad Mandelbaum Idan Refaeli 104 13 0 06 Dec 2022
Requirements Engineering for Machine Learning: A Review and Reflection Zhong Pei Lin Liu Chen Wang Jianmin Wang VLM 78 24 0 03 Oct 2022

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