1 citations · 1 across the 6 of their papers we have counts for
8 papers
SEEK: Agentic Knowledge Graph Retrieval for Secure Code Generation
Varun Gadey, Markus Tohn, Lichao Wu +2
Large Language Models (LLMs) can generate functionally correct code while introducing exploitable security weaknesses, particularly when developers specify functionality without ex…
CodePoisonRAG: Knowledge Poisoning Attacks on Retrieval-Augmented Code Generation
Varun Gadey, Ziad Marey, Alexandra Dmitrienko
Retrieval-Augmented Code Generation (RACG) improves LLM-based software development by retrieving external code artifacts, documentation, and patches, and incorporating them into th…
RAVEN: Agentic RAG for Automated Vulnerability Repair
Varun Gadey, Zijie Liu, Alexandra Dmitrienko
Automated vulnerability repair has emerged as a promising direction to mitigate the growing number of software vulnerabilities. Recent advances in Large Language Models (LLMs) have…
TwinBreak: Jailbreaking LLM Security Alignments based on Twin Prompts
Torsten Krauß, Hamid Dashtbani, Alexandra Dmitrienko
Machine learning is advancing rapidly, with applications bringing notable benefits, such as improvements in translation and code generation. Models like ChatGPT, powered by Large L…
GNN-Based Code Annotation Logic for Establishing Security Boundaries in C Code
Varun Gadey, Raphael Goetz, Christoph Sendner +2
Securing sensitive operations in today's interconnected software landscape is crucial yet challenging. Modern platforms rely on Trusted Execution Environments (TEEs), such as Intel…
Memory Backdoor Attacks on Neural Networks
Eden Luzon, Guy Amit, Roy Weiss +3
Neural networks are often trained on proprietary datasets, making them attractive attack targets. We present a novel dataset extraction method leveraging an innovative training tim…
DNNShield: Embedding Identifiers for Deep Neural Network Ownership Verification
Jasper Stang, Torsten Krauß, Alexandra Dmitrienko
The surge in popularity of machine learning (ML) has driven significant investments in training Deep Neural Networks (DNNs). However, these models that require resource-intensive t…
Vulnerability Scanners for Ethereum Smart Contracts: A Large-Scale Study
Christoph Sendner, Lukas Petzi, Jasper Stang +1
Ethereum smart contracts, which are autonomous decentralized applications on the blockchain that manage assets often exceeding millions of dollars, have become primary targets for…