This article discusses attack schemes on artificial intelligence systems (on machine learning
models). Classically, attacks on machine learning systems are special data modifications at …

Obviously, machine learning applications are being used more and more in a wide variety of
fields. The general rule today is that in the absence of analytical models, one always turns to …

This article discusses one of the possible classes of attacks on machine learning systems-
poisoning attacks. Classically, poisoning attacks are special modifications of the training …

Artificial intelligence systems in this work refer to machine learning systems. It is machine
learning (deep learning) systems that are, today, the main examples of the use of Artificial …

The article is devoted to adversarial attacks on machine learning models. Such attacks are
understood as the deliberate manipulation of data at different stages of the machine learning …

This research delves into the cybersecurity implications of neural network training in cloud-
based services. Despite their recognition for solving IT problems, the resource-intensive …

В настоящей статье рассматриваются схемы атак на системы искусственного
интеллекта (на модели машинного обучения). Классически, атаки на системы …

The proliferation of machine learning applications based on large language models
(ChatGPT, etc.) has brought attention to a well-known problem in machine learning systems …

Под системами Искусственного интеллекта в данной работе понимаются системы
машинного обучения. Именно системы машинного обучения (глубокого обучения) …

Быстрое распространение приложений машинного обучения, основанных на больших
языковых моделях (ChatGPT и т. п.) привлекло внимание к известной проблеме систем …