1 citations · 1 across the 5 of their papers we have counts for
5 papers
RoboJailBench: Benchmarking Adversarial Attacks and Defenses in Embodied Robotic Agents
Doguhuan Yeke, Yanming Zhou, Leo Y. Lin +3
Recent advances in Vision-Language Models (VLMs) facilitate a new class of embodied AI systems, where these models are integrated into physical platforms, e.g. robots and autonomou…
LM-Scout: Analyzing the Security of Language Model Integration in Android Apps
Muhammad Ibrahim, Gűliz Seray Tuncay, Z. Berkay Celik +2
Developers are increasingly integrating Language Models (LMs) into their mobile apps to provide features such as chat-based assistants. To prevent LM misuse, they impose various re…
A Progressive Transformer for Unifying Binary Code Embedding and Knowledge Transfer
Hanxiao Lu, Hongyu Cai, Yiming Liang +2
Language model approaches have recently been integrated into binary analysis tasks, such as function similarity detection and function signature recovery. These models typically em…
Enhancing LLM-based Autonomous Driving Agents to Mitigate Perception Attacks
Ruoyu Song, Muslum Ozgur Ozmen, Hyungsub Kim +2
There is a growing interest in integrating Large Language Models (LLMs) with autonomous driving (AD) systems. However, AD systems are vulnerable to attacks against their object det…
Rethinking How to Evaluate Language Model Jailbreak
Hongyu Cai, Arjun Arunasalam, Leo Y. Lin +2
Large language models (LLMs) have become increasingly integrated with various applications. To ensure that LLMs do not generate unsafe responses, they are aligned with safeguards t…