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Z. Berkay Celik

Purdue University

8 papers hereh-index 181.2k citations47 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2
  • last author6

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.CL1
  • cs.HC1
  • cs.LG1
  • eess.SP1
affiliations
  • Purdue University
Homepage

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedDiscovering IoT Physical Channel Vulnerabilities

27 citations · 31 across the 7 of their papers we have counts for

collaborators
Showing cs.CRShow all

4 papers · 1 filter

cs.CR2024★ 1 cited

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…

cs.CR2021

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…

cs.CR2021★ 27 cited

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…

cs.CR2019

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…

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