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Jonathan Cruz
Jonathan Cruz
Email confirmado em ufl.edu
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SAIL: Machine learning guided structural analysis attack on hardware obfuscation
P Chakraborty, J Cruz, S Bhunia
2018 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), 56-61, 2018
1342018
An automated configurable Trojan insertion framework for dynamic trust benchmarks
J Cruz, Y Huang, P Mishra, S Bhunia
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018
822018
Hardware Trojan detection using ATPG and model checking
J Cruz, F Farahmandi, A Ahmed, P Mishra
2018 31st international conference on VLSI design and 2018 17th …, 2018
802018
Addressing the range anxiety of battery electric vehicles with charging en route
P Chakraborty, R Parker, T Hoque, J Cruz, L Du, S Wang, S Bhunia
scientific reports 12 (1), 5588, 2022
602022
SURF: Joint structural functional attack on logic locking
P Chakraborty, J Cruz, S Bhunia
2019 IEEE International Symposium on Hardware Oriented Security and Trust …, 2019
522019
Hardware IP trust validation: Learn (the untrustworthy), and verify
T Hoque, J Cruz, P Chakraborty, S Bhunia
2018 IEEE International Test Conference (ITC), 1-10, 2018
492018
SAIL: Analyzing structural artifacts of logic locking using machine learning
P Chakraborty, J Cruz, A Alaql, S Bhunia
IEEE Transactions on Information Forensics and Security 16, 3828-3842, 2021
232021
P2C2: Peer-to-Peer Car Charging
P Chakraborty, R Parker, T Hoque, J Cruz, S Bhunia
2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring), 2020
132020
MAGIC: Machine-learning-guided image compression for vision applications in Internet of Things
P Chakraborty, J Cruz, S Bhunia
IEEE Internet of Things Journal 8 (9), 7303-7315, 2020
122020
The metric matters: The art of measuring trust in electronics
J Cruz, P Mishra, S Bhunia
Proceedings of the 56th Annual Design Automation Conference 2019, 1-4, 2019
112019
Automatic hardware trojan insertion using machine learning
J Cruz, P Gaikwad, A Nair, P Chakraborty, S Bhunia
arXiv preprint arXiv:2204.08580, 2022
92022
An automated framework for board-level trojan benchmarking
T Hoque, S Yang, A Bhattacharyay, J Cruz, S Bhunia
arXiv preprint arXiv:2003.12632, 2020
92020
Haste: Software security analysis for timing attacks on clear hardware assumption
P Chakraborty, J Cruz, C Posada, S Ray, S Bhunia
IEEE embedded systems letters 14 (2), 71-74, 2021
72021
Software variants for hardware trojan detection and resilience in COTS processors
M Hasan, J Cruz, P Chakraborty, S Bhunia, T Hoque
arXiv preprint arXiv:2112.00304, 2021
62021
A machine learning based automatic hardware trojan attack space exploration and benchmarking framework
J Cruz, P Gaikwad, A Nair, P Chakraborty, S Bhunia
2022 Asian Hardware Oriented Security and Trust Symposium (AsianHOST), 1-6, 2022
42022
Trojan resilient computing in COTS processors under zero trust
M Hasan, J Cruz, P Chakraborty, S Bhunia, T Hoque
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 30 (10 …, 2022
42022
Systems and methods for machine intelligence based malicious design alteration insertion
S Bhunia, P Chakraborty, AA Nair, T Hoque, JW Cruz, N Masna, ...
US Patent 11,321,510, 2022
42022
Tvf: A metric for quantifying vulnerability against hardware trojan attacks
J Cruz, P Slpsk, P Gaikwad, S Bhunia
IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2023
32023
A Framework for Automated Exploration of Trojan Attack Space in FPGA Netlists
J Cruz, C Posada, NVR Masna, P Chakraborty, P Gaikwad, S Bhunia
IEEE Transactions on Computers, 2023
32023
Third-party hardware IP assurance against trojans through supervised learning and post-processing
P Gaikwad, J Cruz, P Chakraborty, S Bhunia, T Hoque
arXiv preprint arXiv:2111.14956, 2021
32021
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