208 citations · 293 across the 14 of their papers we have counts for
4 papers · 1 filter
HexaCoder: Secure Code Generation via Oracle-Guided Synthetic Training Data
Hossein Hajipour, Lea Schönherr, Thorsten Holz +1
Large language models (LLMs) have shown great potential for automatic code generation and form the basis for various tools such as GitHub Copilot. However, recent studies highlight…
Prompt Obfuscation for Large Language Models
David Pape, Sina Mavali, Thorsten Eisenhofer +1
System prompts that include detailed instructions to describe the task performed by the underlying LLM can easily transform foundation models into tools and services with minimal o…
Rag and Roll: An End-to-End Evaluation of Indirect Prompt Manipulations in LLM-based Application Frameworks
Gianluca De Stefano, Lea Schönherr, Giancarlo Pellegrino
Retrieval Augmented Generation (RAG) is a technique commonly used to equip models with out of distribution knowledge. This process involves collecting, indexing, retrieving, and pr…
Conning the Crypto Conman: End-to-End Analysis of Cryptocurrency-based Technical Support Scams
Bhupendra Acharya, Muhammad Saad, Antonio Emanuele Cinà +5
The mainstream adoption of cryptocurrencies has led to a surge in wallet-related issues reported by ordinary users on social media platforms. In parallel, there is an increase in a…