activity
20172026
most citedNeural Trojans

243 citations · 282 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CR2026

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.…

cs.CR2026

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…

quant-ph2025

Security Evaluation of Quantum Circuit Split Compilation under an Oracle-Guided Attack

Hongyu Zhang, Yuntao Liu

Quantum circuits are the fundamental representation of quantum algorithms and constitute valuable intellectual property (IP). Multiple quantum circuit obfuscation (QCO) techniques…

cs.CR2025

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…

quant-ph2025★ 1 cited

TetrisLock: Quantum Circuit Split Compilation with Interlocking Patterns

Qian Wang, Jayden John, Ben Dong +1

In quantum computing, quantum circuits are fundamental representations of quantum algorithms, which are compiled into executable functions for quantum solutions. Quantum compilers…

quant-ph2025★ 7 cited

OPAQUE: Obfuscating Phase in Quantum Circuit Compilation for Efficient IP Protection

Anees Rehman, Vincent Langford, Yuntao Liu

Quantum compilers play a crucial role in quantum computing by converting these algorithmic quantum circuits into forms compatible with specific quantum computer hardware. However,…

quant-ph2025★ 10 cited

E-LoQ: Enhanced Locking for Quantum Circuit IP Protection

Yuntao Liu, Jayden John, Qian Wang

In recent years, quantum computing has started to demonstrate superior efficiency to classical computing. In quantum computing, quantum circuits that implement specific quantum alg…

cs.CR2023

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…

cs.CR2022★ 3 cited

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…

cs.CR2021★ 18 cited

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…

cs.CR2017★ 243 cited

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…