243 citations · 282 across the 10 of their papers we have counts for
7 papers · 1 filter
PDF: PUF-based DNN Fingerprinting for Knowledge Distillation Traceability
Ning Lyu, Yuntao Liu, Yonghong Bai +1
Knowledge distillation transfers large teacher models to compact student models, enabling deployment on resource-limited platforms while suffering minimal performance degradation.…
CLOAQ: Combined Logic and Angle Obfuscation for Quantum Circuits
Vincent Langford, Shihan Zhao, Hongyu Zhang +4
In the realm of quantum computing, quantum circuits serve as essential depictions of quantum algorithms, which are then compiled into executable operations for quantum computations…
Red Teaming Methodology for Design Obfuscation
Yuntao Liu, Abir Akib, Zelin Lu +5
The main goal of design obfuscation schemes is to protect sensitive design details from untrusted parties in the VLSI supply chain, including but not limited to off-shore foundries…
TroLL: Exploiting Structural Similarities between Logic Locking and Hardware Trojans
Yuntao Liu, Aruna Jayasena, Prabhat Mishra +1
Logic locking and hardware Trojans are two fields in hardware security that have been mostly developed independently from each other. In this paper, we identify the relationship be…
DynaMarks: Defending Against Deep Learning Model Extraction Using Dynamic Watermarking
Abhishek Chakraborty, Daniel Xing, Yuntao Liu +1
The functionality of a deep learning (DL) model can be stolen via model extraction where an attacker obtains a surrogate model by utilizing the responses from a prediction API of t…
Robust and Attack Resilient Logic Locking with a High Application-Level Impact
Yuntao Liu, Michael Zuzak, Yang Xie +2
Logic locking is a hardware security technique to intellectual property (IP) against security threats in the IC supply chain, especially untrusted fabs. Such techniques incorporate…
Neural Trojans
Yuntao Liu, Yang Xie, Ankur Srivastava
While neural networks demonstrate stronger capabilities in pattern recognition nowadays, they are also becoming larger and deeper. As a result, the effort needed to train a network…