Z. Berkay Celik

336 Westgate Building
University Park, PA 16802, USA
zbc102@cse.psu.edu

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Recent News

I will be joining the Department of Computer Science at Purdue University as an assistant professor beginning Fall 2019.

  • If you are interested in joining my research group, please fill the following form and apply to the CS program.
  • To students at Purdue: There are research opportunities for undergraduate and graduate students interested in security of Internet of Things and Cyber-Physical Systems and security and privacy in Machine Learning Systems. Please email me for details.

About Me

I am a research assistant in the Department of Electrical Engineering and Computer Science at the Pennsylvania State University working with Prof. Patrick McDaniel and lead graduate student of the Systems and Internet Infrastructure Security Lab (SIIS). During my Msc. studies, I worked with Prof. George Kesidis and Prof. David J. Miller. My research was on machine learning (ML) systems and network security. Previously I worked at VMware evaluating the security of VMware software source code, Vencore Labs building ML systems under privileged information, and Istanbul Technical University doing research on feature engineering for malware detection.

My research investigates the design and evaluation of security for software and systems, specifically on emerging computing platforms and the complex environments in which they operate. Through systems design and program analysis, my research seeks to improve security and privacy guarantees in commodity computer systems. My research approach is best illustrated by my extensive work in safety, security and privacy of IoT systems.

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Publications (Selected)

Program Analysis of Commodity IoT Applications for Security and Privacy: Opportunities and Challenges
Z. Berkay Celik, Earlence Fernandes, Eric Pauley, Gang Tan, and Patrick McDaniel
In ACM Computing Surveys (CSUR), 2019

IoTGuard: Dynamic Enforcement of Security and Safety Policy in Commodity IoT
Z. Berkay Celik, Gang Tan, and Patrick McDaniel
Proceedings of the Network and Distributed System Security Symposium (NDSS), 2019
Acceptance Rate: 17%

Curie: Policy-based Secure Data Exchange
Z. Berkay Celik, Abbas Acar, Hidayet Aksu, Ryan Sheatsley, Patrick McDaniel, and Selcuk Uluagac
Proceedings of the ACM Conference on Data and Applications Security (CODASPY), 2019
Acceptance Rate: 23.5%

Soteria: Automated IoT Safety and Security Analysis
Z. Berkay Celik, Patrick McDaniel, and Gang Tan
Proceedings of the USENIX Annual Technical Conference (USENIX ATC), 2018
Acceptance Rate: 19%
[Slides] [Slides for Usenix HotSec’18]

Sensitive Information Tracking in Commodity IoT
Z. Berkay Celik, Leonardo Babun, Amit K. Sikder, Hidayet Aksu, Gang Tan, Patrick McDaniel, and Selcuk Uluagac
Proceedings of the USENIX Security Symposium (USENIX Security), 2018
Acceptance Rate: 18%
[Slides] [Talk video]

Detection under Privileged Information
Z. Berkay Celik, Patrick McDaniel, Rauf Izmailov, Nicolas Papernot, Ryan Sheatsley, Raquel Alvarez, and Ananthram Swami
Proceedings of the Asia Conference on Computer and Communications Security (ASIACCS), 2018
Acceptance Rate: 20%

Malware Modeling and Experimentation through Parameterized Behavior
Z. Berkay Celik, Patrick McDaniel, and Thomas Bowen
In Journal of Defense Modeling and Simulation (JDMS), 2018

Extending Detection with Privileged Information via Generalized Distillation
Z. Berkay Celik, and Patrick McDaniel
IEEE Workshop on Deep Learning and Security (colocated with IEEE S&P), 2018
Acceptance Rate: 27%

Mission-oriented Security Model, Incorporating Security Risk, Cost and Payout
Sayed Saghaian, Tom La Porta, Trent Jaeger, Z. Berkay Celik, and Patrick McDaniel
Proceedings of the Security and Privacy in Communication Networks (SecureComm), 2018
[Best Paper Award]

Patient-Driven Privacy Control through Generalized Distillation
Z. Berkay Celik, David Lopez-Paz, and Patrick McDaniel
Proceedings of the IEEE Privacy-aware Computing (PAC), 2017

Practical Black-Box Attacks against Machine Learning
Nicolas Papernot, Patrick McDaniel, Ian Goodfellow, Somesh Jha, Z. Berkay Celik, and Ananthram Swami
Proceedings of the Asia Conference on Computer, and Communications Security (ASIACCS), 2017
Acceptance Rate: 20%

Achieving Secure and Differentially Private Computations in Multiparty Settings
Abbas Acar, Z. Berkay Celik, Hidayet Aksu, A. Selcuk Uluagac, and Patrick McDaniel
Proceedings of the IEEE Privacy-aware Computing (PAC), 2017

Machine Learning in Adversarial Settings
Patrick McDaniel, Nicolas Papernot, and Z. Berkay Celik
IEEE Security & Privacy Magazine (May/June), 2016

The Limitations of Deep Learning in Adversarial Settings
Nicolas Papernot, Patrick McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik, and Ananthram Swami
Proceedings of the European Symposium on Security and Privacy (Euro S&P), 2016
Acceptance Rate: 17.3%