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Why AI keeps falling for prompt injection attacks
We can learn lessons about AI security at the drive-through ...
There’s a well-worn pattern in the development of AI chatbots. Researchers discover a vulnerability and exploit it to do ...
The best defense against prompt injection and other AI attacks is to do some basic engineering, test more, and not rely on AI to protect you. If you want to know what is actually happening in ...
Researchers from MIT, Northeastern University, and Meta recently released a paper suggesting that large language models (LLMs) similar to those that power ChatGPT may sometimes prioritize sentence ...
Scenario #2: Similarly, an application’s blind trust in frameworks may result in queries that are still vulnerable, (e.g., Hibernate Query Language (HQL)): Query HQLQuery = session.createQuery("FROM ...
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers
Computational and Communication Science and Engineering (CoCSE), The Nelson Mandela African Institution of Science and Technology (NM-AIST), Arusha, Tanzania In the face of increasing cyberattacks, ...
SAP has released its November security updates that address multiple security vulnerabilities, including a maximum severity flaw in the non-GUI variant of the SQL Anywhere Monitor and a critical code ...
Abstract: NoSQL injection is a security vulnerability that allows attackers to interfere with an application’s queries to a NoSQL database. Such attacks can result in bypassing authentication ...
A serious security issue has been discovered in the WordPress Paid Membership Subscriptions plugin, which is used by over 10,000 sites to manage memberships and recurring payments. Versions 2.15.1 and ...
Vinish Kapoor is an Oracle ACE Pro, software developer, and founder of Vinish.dev, known for his expertise in Oracle. Vinish Kapoor is an Oracle ACE Pro, software developer, and founder of Vinish.dev, ...
ABSTRACT: SQL injection attacks pose a critical threat to web application security, exploiting vulnerabilities to gain access, or modify sensitive data. Traditional rule-based and machine learning ...
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