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Z. Berkay Celik
Z. Berkay Celik
Assistant Professor of Computer Science, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
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
46202016
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
39012017
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
5032016
Soteria: Automated IoT Safety and Security Analysis
ZB Celik, P McDaniel, G Tan
2018 {USENIX} Annual Technical Conference ({USENIX} {ATC} 18), 2018
3022018
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
2712019
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
2702018
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
1782021
Machine Learning in Adversarial Settings
P McDaniel, N Papernot, ZB Celik
IEEE Security & Privacy Magazine 14 (3), 2016
1702016
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
1552019
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
1252021
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
752021
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
752020
Malware Traffic Detection using Tamper Resistant Features
ZB Celik, RJ Walls, P McDaniel, A Swami
Military Communications Conference, MILCOM, 2015
712015
Real-time analysis of privacy-(un) aware IoT applications
L Babun, ZB Celik, P McDaniel, AS Uluagac
Privacy Enhancing Technologies Symposium (PETS), 2021
502021
Salting public traces with attack traffic to test flow classifiers
ZB Celik, J Raghuram, G Kesidis, DJ Miller
In USENIX 4th CSET Workshop, 2011
452011
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
442021
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
422021
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
372019
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
362013
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
272017
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