27 citations · 31 across the 7 of their papers we have counts for
8 papers
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…
Can Large Language Models Provide Security & Privacy Advice? Measuring the Ability of LLMs to Refute Misconceptions
Yufan Chen, Arjun Arunasalam, Z. Berkay Celik
Users seek security & privacy (S&P) advice from online resources, including trusted websites and content-sharing platforms. These resources help users understand S&P technologies a…
New Metrics to Evaluate the Performance and Fairness of Personalized Federated Learning
Siddharth Divi, Yi-Shan Lin, Habiba Farrukh +1
In Federated Learning (FL), the clients learn a single global model (FedAvg) through a central aggregator. In this setting, the non-IID distribution of the data across clients rest…
On the Safety Implications of Misordered Events and Commands in IoT Systems
Furkan Goksel, Muslum Ozgur Ozmen, Michael Reeves +2
IoT devices, equipped with embedded actuators and sensors, provide custom automation in the form of IoT apps. IoT apps subscribe to events and upon receipt, transmit actuation comm…
Discovering IoT Physical Channel Vulnerabilities
Muslum Ozgur Ozmen, Xuansong Li, Andrew Chu +3
Smart homes contain diverse sensors and actuators controlled by IoT apps that provide custom automation. Prior works showed that an adversary could exploit physical interaction vul…
On the Feasibility of Exploiting Traffic Collision Avoidance System Vulnerabilities
Paul M. Berges, Basavesh Ammanaghatta Shivakumar, Timothy Graziano +2
Traffic Collision Avoidance Systems (TCAS) are safety-critical systems required on most commercial aircrafts in service today. However, TCAS was not designed to account for malicio…
Real-time Analysis of Privacy-(un)aware IoT Applications
Leonardo Babun, Z. Berkay Celik, Patrick McDaniel +1
Users trust IoT apps to control and automate their smart devices. These apps necessarily have access to sensitive data to implement their functionality. However, users lack visibil…