/* * This file is part of the Symfony package. * * (c) Fabien Potencier * * For the full copyright and license information, please view the LICENSE * file that was distributed with this source code. */ namespace Symfony\Component\String; if (!\function_exists(u::class)) { function u(?string $string = ''): UnicodeString { return new UnicodeString($string ?? ''); } } if (!\function_exists(b::class)) { function b(?string $string = ''): ByteString { return new ByteString($string ?? ''); } } if (!\function_exists(s::class)) { /** * @return UnicodeString|ByteString */ function s(?string $string = ''): AbstractString { $string = $string ?? ''; return preg_match('//u', $string) ? new UnicodeString($string) : new ByteString($string); } } New Attack Technique 'Sleepy Pickle' Targets Machine Learning Models – OWASP Jakarta

New Attack Technique 'Sleepy Pickle' Targets Machine Learning Models

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New Attack Technique 'Sleepy Pickle' Targets Machine Learning Models


The security risks posed by the Pickle format have once again come to the fore with the discovery of a new “hybrid machine learning (ML) model exploitation technique” dubbed Sleepy Pickle.
The attack method, per Trail of Bits, weaponizes the ubiquitous format used to package and distribute machine learning (ML) models to corrupt the model itself, posing a severe supply chain risk to an

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2024-06-13 14:08:00

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