From Exploitation to Protection: Analysis of Attacks on Large Language Models

S. V. Bezzateev; I. S. Velichko

doi:10.3103/s0146411625700750

December 1, 2025Automatic Control and Computer Sciences

From Exploitation to Protection: Analysis of Attacks on Large Language Models

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Key Points

Investigate the vulnerabilities of large language models to attacks, particularly prompt injection.
Analyzed various attack vectors targeting large language models.
Focused on the mechanism of prompt injection attacks.
Assessed the impact of these attacks on model performance and data security.
Identified prompt injection as a significant threat to model integrity.
Demonstrated that certain attacks can manipulate model behavior and leak confidential information.
Established that models can be coerced into following harmful instructions.

Implication

Analysis of prompt injection attacks highlights vulnerabilities in large language models, indicating risks to data security.

Abstract

Modern large language models possess impressive capabilities but remain vulnerable to various attacks capable of manipulating their responses, causing confidential data leaks, or bypassing restrictions. The main focus is on analyzing “prompt injection” attacks, which allow circumventing model limitations, extracting hidden data, or forcing the model to follow malicious instructions.

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Cite This Study

Bezzateev et al. (2025) studied this question.

synapsesocial.com/papers/699fe39d95ddcd3a253e7a99 https://doi.org/10.3103/s0146411625700750

View Full Paper

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From Exploitation to Protection: Analysis of Attacks on Large Language Models

Key Points

Implication

Abstract

Discussion

Cite This Study

From Exploitation to Protection: Analysis of Attacks on Large Language Models

Key Points

Implication

Abstract

Discussion

Cite This Study

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