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
Ian GoodfellowDeepMindVerified email at deepmind.com
Muslum Ozgur OzmenGraduate Student, Purdue UniversityVerified email at purdue.edu
Amit Kumar SikderResearch ScientistVerified email at gatech.edu
Dongyan XuSamuel Conte Professor of Computer Science and Director of CERIAS, Purdue UniversityVerified email at purdue.edu
Habiba FarrukhPurdue UniversityVerified email at purdue.edu
Hyungsub KimPurdue UniversityVerified email at postech.ac.kr
Vireshwar KumarAssistant Professor, Department of Computer Science & Engineering, IIT DelhiVerified email at cse.iitd.ac.in
Khaled SeragResearch Assistant, Purdue UniversityVerified email at purdue.edu
Earlence FernandesAssistant Professor, UC San DiegoVerified email at ucsd.edu
Eric PauleyUniversity of Wisconsin–MadisonVerified email at cs.wisc.edu
Ryan M GerdesVirginia TechVerified email at vt.edu
Rauf IzmailovPeraton LabsVerified email at mail.peratonlabs.com
Engin KirdaNortheastern University and Lastline Inc. (co-founder)Verified email at ccs.neu.edu
Robert J. WallsWorcester Polytechnic InstituteVerified email at wpi.edu

Z. Berkay Celik

Purdue University

Verified email at purdue.edu - Homepage

Security and Privacy 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	4202	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	3493	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	484	2016
Soteria: Automated IoT Safety and Security Analysis ZB Celik, P McDaniel, G Tan 2018 {USENIX} Annual Technical Conference ({USENIX} {ATC} 18), 2018	271	2018
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	252	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	233	2019
Machine Learning in Adversarial Settings P McDaniel, N Papernot, ZB Celik IEEE Security & Privacy Magazine 14 (3), 2016	167	2016
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	144	2019
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	139	2021
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	84	2021
Malware Traffic Detection using Tamper Resistant Features ZB Celik, RJ Walls, P McDaniel, A Swami Military Communications Conference, MILCOM, 2015	69	2015
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	67	2020
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	58	2021
Real-time analysis of privacy-(un) aware IoT applications L Babun, ZB Celik, P McDaniel, AS Uluagac Privacy Enhancing Technologies Symposium (PETS), 2021	44*	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	38	2019
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	37	2021
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	35	2013
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	30	2021
Achieving Secure and Differentially Private Computations in Multiparty Settings A Acar, ZB Celik, H Aksu, AS Uluagac, P McDaniel IEEE Symposium on Privacy-Aware Computing (PAC), 2017	24	2017

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