Z. Berkay Celik

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Patrick McDanielTsun-Ming Shih Professor of Computer Sciences, University of Wisconsin-MadisonVerified email at cs.wisc.edu
Nicolas PapernotUniversity of Toronto and Vector InstituteVerified email at utoronto.ca
Matt FredriksonCarnegie Mellon UniversityVerified email at cs.cmu.edu
Somesh JhaLubar Chair of Computer Science, University of WisconsinVerified email at cs.wisc.edu
Gang TanProfessor of computer science and engineering, Penn State UniversityVerified email at cse.psu.edu
Selcuk UluagacFlorida International UniversityVerified email at fiu.edu
Muslum Ozgur OzmenAssistant Professor of Computer Science, Arizona State UniversityVerified email at asu.edu
Dongyan XuSamuel Conte Professor of Computer Science and Director of CERIAS, Purdue UniversityVerified email at purdue.edu
Ian GoodfellowDeepMindVerified email at deepmind.com
Habiba FarrukhUniversity of California, IrvineVerified email at uci.edu
Amit Kumar SikderAssistant Professor, Iowa State UniversityVerified email at iastate.edu
Hyungsub KimIndiana University BloomingtonVerified email at postech.ac.kr
Raymond Muller IIPurdue UniversityVerified email at purdue.edu
Ryan M GerdesVirginia TechVerified email at vt.edu
Khaled SeragScientist, Qatar Computing Research InstituteVerified email at purdue.edu
Arjun ArunasalamPh.D. Candidate, Purdue UniversityVerified email at purdue.edu
Ming LiProfessor of ECE, The University of ArizonaVerified email at arizona.edu
Vireshwar KumarAssistant Professor, Department of Computer Science & Engineering, IIT DelhiVerified email at cse.iitd.ac.in
Earlence FernandesAssistant Professor, UC San DiegoVerified email at ucsd.edu
Eric PauleyUniversity of Wisconsin–MadisonVerified email at cs.wisc.edu

Z. Berkay Celik

Assistant Professor of Computer Science, Purdue University

Verified email at purdue.edu - Homepage

Security and Privacy Systems Security Cyber-Physical Systems Security


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The limitations of deep learning in adversarial settings N Papernot, P McDaniel, S Jha, M Fredrikson, ZB Celik, A Swami 2016 IEEE European symposium on security and privacy (EuroS&P), 372-387, 2016	4974	2016
Practical black-box attacks against machine learning N Papernot, P McDaniel, I Goodfellow, S Jha, ZB Celik, A Swami Proceedings of the 2017 ACM on Asia conference on computer and …, 2017	4214	2017
Practical black-box attacks against deep learning systems using adversarial examples N Papernot, P McDaniel, I Goodfellow, S Jha, ZB Celik, A Swami arXiv preprint arXiv:1602.02697 1 (2), 3, 2016	518	2016
Soteria: Automated IoT Safety and Security Analysis ZB Celik, P McDaniel, G Tan 2018 {USENIX} Annual Technical Conference ({USENIX} {ATC} 18), 2018	335	2018
IoTGuard: Dynamic Enforcement of Security and Safety Policy in Commodity IoT ZB Celik, G Tan, P McDaniel Network and Distributed System Security Symposium (NDSS), 2019	306	2019
Sensitive Information Tracking in Commodity IoT ZB Celik, L Babun, AK Sikder, H Aksu, G Tan, P McDaniel, AS Uluagac 27th {USENIX} Security Symposium ({USENIX} Security 18, 2018	296	2018
A survey on IoT platforms: Communication, security, and privacy perspectives L Babun, K Denney, ZB Celik, P McDaniel, AS Uluagac Computer Networks 192, 108040, 2021	210	2021
Machine Learning in Adversarial Settings P McDaniel, N Papernot, ZB Celik IEEE Security & Privacy Magazine 14 (3), 2016	182	2016
ATLAS: A Sequence-based Learning Approach for Attack Investigation A Alsaheel, Y Nan, S Ma, L Yu, G Walkup, ZB Celik, X Zhang, D Xu USENIX Security Symposium, 2021	175	2021
Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities ZB Celik, E Fernandes, E Pauley, G Tan, PD McDaniel ACM Computing Surveys (CSUR), 2019	167	2019
What Do You See? Evaluation of Explainable Artificial Intelligence (XAI) Interpretability through Neural Backdoors YS Lin, WC Lee, ZB Celik ACM SIGKDD Conference on Knowledge Discovery & Data Mining (KDD), 2021	95	2021
Kratos: Multi-user multi-device-aware access control system for the smart home AK Sikder, L Babun, ZB Celik, A Acar, H Aksu, P McDaniel, E Kirda, ... Proceedings of the 13th ACM Conference on Security and Privacy in Wireless …, 2020	86	2020
Malware Traffic Detection using Tamper Resistant Features ZB Celik, RJ Walls, P McDaniel, A Swami Military Communications Conference, MILCOM, 2015	76	2015
Real-time analysis of privacy-(un) aware IoT applications L Babun, ZB Celik, P McDaniel, AS Uluagac Privacy Enhancing Technologies Symposium (PETS), 2021	56	2021
Evading Voltage-Based Intrusion Detection on Automotive CAN R Bhatia, V Kumar, K Serag, ZB Celik, M Payer, D Xu Network and Distributed System Security Symposium (NDSS), 2021	53	2021
PGFUZZ: Policy-Guided Fuzzing for Robotic Vehicles H Kim, MO Ozmen, A Bianchi, ZB Celik, D Xu Network and Distributed System Security Symposium (NDSS), 2021	51	2021
Salting public traces with attack traffic to test flow classifiers ZB Celik, J Raghuram, G Kesidis, DJ Miller In USENIX 4th CSET Workshop, 2011	44	2011
Verifying internet of things safety and security in physical spaces ZB Celik, P McDaniel, G Tan, L Babun, AS Uluagac IEEE Security & Privacy 17 (5), 30-37, 2019	39	2019
Detection of fast-flux networks using various DNS feature sets ZB Celik, S Oktug IEEE Symposium on Computers and Communications (ISCC), 2013, 000868-000873, 2013	37	2013
Discovering IoT physical channel vulnerabilities MO Ozmen, X Li, A Chu, ZB Celik, B Hoxha, X Zhang ACM SIGSAC Conference on Computer and Communications Security (CCS), 2022	36*	2022

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