Xinqiao Zhang

Orcid: 0000-0002-2785-2321

According to our database1, Xinqiao Zhang authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
FaceSigns: Semi-fragile Watermarks for Media Authentication.
ACM Trans. Multim. Comput. Commun. Appl., November, 2024

Scalable Binary Neural Network Applications in Oblivious Inference.
ACM Trans. Embed. Comput. Syst., May, 2024

SenseHash: Computing on Sensor Values Mystified at the Origin.
IEEE Trans. Emerg. Top. Comput., 2024

Unveiling Analog Aging Trojans (ATs): Vulnerabilities and Detection Strategies.
Proceedings of the 67th IEEE International Midwest Symposium on Circuits and Systems, 2024

2023
AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection.
ACM Trans. Embed. Comput. Syst., March, 2023

zPROBE: Zero Peek Robustness Checks for Federated Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
DEVoT: Dynamic Delay Modeling of Functional Units Under Voltage and Temperature Variations.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

An Adaptive Black-box Backdoor Detection Method for Deep Neural Networks.
CoRR, 2022

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes.
CoRR, 2022

FastStamp: Accelerating Neural Steganography and Digital Watermarking of Images on FPGAs.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

2021
TAD: Trigger Approximation based Black-box Trojan Detection for AI.
CoRR, 2021

Real-Time IC Aging Prediction via On-Chip Sensors.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2021

On the Application of Binary Neural Networks in Oblivious Inference.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019
Real-Time Prediction for IC Aging Based on Machine Learning.
IEEE Trans. Instrum. Meas., 2019

2017
An image-processing based method for the measurement of the film thickness of a swirl atomizer.
J. Vis., 2017


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