Z. Berkay Celik
Z. Berkay Celik
Assistant Professor of Computer Science, Purdue University
Verified email at - Homepage
Cited by
Cited by
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
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
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
Soteria: Automated IoT Safety and Security Analysis
ZB Celik, P McDaniel, G Tan
2018 {USENIX} Annual Technical Conference ({USENIX} {ATC} 18), 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
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
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
Machine Learning in Adversarial Settings
P McDaniel, N Papernot, ZB Celik
IEEE Security & Privacy Magazine 14 (3), 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
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
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
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
Malware Traffic Detection using Tamper Resistant Features
ZB Celik, RJ Walls, P McDaniel, A Swami
Military Communications Conference, MILCOM, 2015
Real-time analysis of privacy-(un) aware IoT applications
L Babun, ZB Celik, P McDaniel, AS Uluagac
Privacy Enhancing Technologies Symposium (PETS), 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
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
Salting public traces with attack traffic to test flow classifiers
ZB Celik, J Raghuram, G Kesidis, DJ Miller
In USENIX 4th CSET Workshop, 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
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
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
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