LLM Deception Monitor: Training Data Holds the Key

LLMs Detect Vulnerabilities by Recognizing Safe Code Patterns, Not Vulnerable Ones, Study Finds

This research paper uses mechanistic interpretability to analyze how LLMs (specifically Gemma-2-2b) detect software vulnerabilities in C/C++

Security Risks of Malicious Backdoors in Large Language Models

The article explores the security risks associated with Large Language Models (LLMs), particularly the potential for embedding malicious bac

Study Reveals Domain-Camouflaged Injection Attacks Bypass LLM Detection Systems

This research paper identifies a critical vulnerability in injection detectors used to protect LLM agents. The authors demonstrate that when

Hacker News Discussion: Addressing Blind Trust in Large Language Models

This Hacker News discussion thread explores the challenge of dealing with people who blindly trust Large Language Models (LLMs) as sources o

What AI Is and Isnt: A Laypersons Guide to How LLMs Actually Work

Local LLMs Show 95% Vulnerability to Backdoor Injection Attacks in Security Research

Research reveals that local LLMs (large language models) running on user devices for privacy protection are significantly more vulnerable to