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
Selcuk UluagacFlorida International UniversityVerified email at fiu.edu
Muslum Ozgur OzmenAssistant Professor of Computer Science, Arizona State UniversityVerified email at asu.edu
Gang TanProfessor of computer science and engineering, Penn State UniversityVerified email at cse.psu.edu
Dongyan XuSamuel Conte Professor of Computer Science and Director of CERIAS, Purdue UniversityVerified email at purdue.edu
Antonio BianchiAssistant Professor, Purdue UniversityVerified email at purdue.edu
Leonardo BabunSenior Cybersecurity Researcher at The Johns Hopkins University Applied Physics LabVerified email at jhuapl.edu
Habiba FarrukhUniversity of California, IrvineVerified email at uci.edu
Ian GoodfellowDeepMindVerified email at deepmind.com
Amit Kumar SikderAssistant Professor, Iowa State UniversityVerified email at iastate.edu
Hyungsub KimIndiana University BloomingtonVerified email at postech.ac.kr
Arjun ArunasalamPh.D. Candidate, Purdue UniversityVerified email at purdue.edu
Raymond Muller IIPurdue UniversityVerified email at purdue.edu
Ryan M GerdesVirginia TechVerified email at vt.edu
Abbas AcarHarbor LabsVerified email at harborlabs.com
Ming LiProfessor of ECE, The University of ArizonaVerified email at arizona.edu
Khaled SeragScientist, Qatar Computing Research InstituteVerified email at purdue.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	5269	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	4518	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	521	2016
Soteria: Automated IoT Safety and Security Analysis ZB Celik, P McDaniel, G Tan 2018 {USENIX} Annual Technical Conference ({USENIX} {ATC} 18), 2018	343	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	323	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	304	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	236	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	226	2021
Machine Learning in Adversarial Settings P McDaniel, N Papernot, ZB Celik IEEE Security & Privacy Magazine 14 (3), 2016	183	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	176	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	108	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	93	2020
Malware Traffic Detection using Tamper Resistant Features ZB Celik, RJ Walls, P McDaniel, A Swami Military Communications Conference, MILCOM, 2015	78	2015
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	65	2021
Real-time analysis of privacy-(un) aware IoT applications L Babun, ZB Celik, P McDaniel, AS Uluagac Privacy Enhancing Technologies Symposium (PETS), 2021	59*	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	55	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
Can large language models provide security & privacy advice? measuring the ability of llms to refute misconceptions Y Chen, A Arunasalam, ZB Celik Proceedings of the 39th Annual Computer Security Applications Conference …, 2023	42	2023
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	42*	2022
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

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