https://pypi.org/project/universal-evasion-attacks/ Recent updates to the Python Package Index for universal-evasion-attacks en https://pypi.org/project/universal-evasion-attacks/1.0.0/ Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on heuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems. alexandre.le.mercier@ulb.be Mon, 06 Jan 2025 18:23:22 GMT https://pypi.org/project/universal-evasion-attacks/0.1.3/ Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on heuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems. alexandre.le.mercier@ulb.be Mon, 06 Jan 2025 14:52:36 GMT https://pypi.org/project/universal-evasion-attacks/0.1.2/ Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on heuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems. alexandre.le.mercier@ulb.be Mon, 06 Jan 2025 14:23:33 GMT https://pypi.org/project/universal-evasion-attacks/0.1.1/ Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on heuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems. alexandre.le.mercier@ulb.be Mon, 06 Jan 2025 14:17:33 GMT https://pypi.org/project/universal-evasion-attacks/0.1.0/ Security protocols for estimating adversarial robustness of machine learning models for both tabular and image datasets. This package implements a set of evasion attacks based on heuristic optimization algorithms, and complex cost functions to give reliable results for tabular problems. alexandre.le.mercier@ulb.be Mon, 06 Jan 2025 14:06:33 GMT