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A new era in llm security: Exploring security concerns in real-world llm-based systems
Large Language Model (LLM) systems are inherently compositional, with individual LLM
serving as the core foundation with additional layers of objects such as plugins, sandbox …
serving as the core foundation with additional layers of objects such as plugins, sandbox …
Automatic and universal prompt injection attacks against large language models
Large Language Models (LLMs) excel in processing and generating human language,
powered by their ability to interpret and follow instructions. However, their capabilities can …
powered by their ability to interpret and follow instructions. However, their capabilities can …
Against The Achilles' Heel: A Survey on Red Teaming for Generative Models
Generative models are rapidly gaining popularity and being integrated into everyday
applications, raising concerns over their safe use as various vulnerabilities are exposed. In …
applications, raising concerns over their safe use as various vulnerabilities are exposed. In …
Wipi: A new web threat for llm-driven web agents
With the fast development of large language models (LLMs), LLM-driven Web Agents (Web
Agents for short) have obtained tons of attention due to their superior capability where LLMs …
Agents for short) have obtained tons of attention due to their superior capability where LLMs …
Promptfuzz: Harnessing fuzzing techniques for robust testing of prompt injection in llms
Large Language Models (LLMs) have gained widespread use in various applications due to
their powerful capability to generate human-like text. However, prompt injection attacks …
their powerful capability to generate human-like text. However, prompt injection attacks …
System-Level Defense against Indirect Prompt Injection Attacks: An Information Flow Control Perspective
Large Language Model-based systems (LLM systems) are information and query
processing systems that use LLMs to plan operations from natural-language prompts and …
processing systems that use LLMs to plan operations from natural-language prompts and …
Applying Pre-trained Multilingual BERT in Embeddings for Improved Malicious Prompt Injection Attacks Detection
Large language models (LLMs) are renowned for their exceptional capabilities, and
applying to a wide range of applications. However, this widespread use brings significant …
applying to a wide range of applications. However, this widespread use brings significant …
AutoHijacker: Automatic Indirect Prompt Injection Against Black-box LLM Agents
X Liu, S Jha, P McDaniel, B Li, C **ao - openreview.net
Although large Language Models (LLMs) and LLM agents have been widely adopted, they
are vulnerable to indirect prompt injection attacks, where malicious external data is injected …
are vulnerable to indirect prompt injection attacks, where malicious external data is injected …
Digital Echoes of Cultural Values: Cross-Cultural Differences in Online Norm-Enforcement
C Kenntemich, DOI Brückner-Collet… - Available at SSRN … - papers.ssrn.com
Cultures differ regarding their relevant meta-norms, specifying how and when deviation from
norms should be punished. However, it is unclear whether and how cultural differences in …
norms should be punished. However, it is unclear whether and how cultural differences in …