Yi Xie

Orcid: 0000-0002-6179-0013

Affiliations:
  • Rutgers University, New Brunswick, NJ, USA
  • City University of New York, NY, USA


According to our database1, Yi Xie authored at least 20 papers between 2017 and 2022.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2022
Visual privacy protection in mobile image recognition using protective perturbation.
Proceedings of the MMSys '22: 13th ACM Multimedia Systems Conference, Athlone, Ireland, June 14, 2022

Invisible and Efficient Backdoor Attacks for Compressed Deep Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022

RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Real-time, Robust and Adaptive Universal Adversarial Attacks Against Speaker Recognition Systems.
J. Signal Process. Syst., 2021

Noise Injection-based Regularization for Point Cloud Processing.
CoRR, 2021

CHIP: CHannel Independence-based Pruning for Compact Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fake Gradient: A Security and Privacy Protection Framework for DNN-based Image Classification.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Robust Detection of Machine-induced Audio Attacks in Intelligent Audio Systems with Microphone Array.
Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Enabling Fast and Universal Audio Adversarial Attack Using Generative Model.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Practical Adversarial Attacks Against Speaker Recognition Systems.
Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020

VVSec: Securing Volumetric Video Streaming via Benign Use of Adversarial Perturbation.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Real-Time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Low-complexity Neural Network-based MIMO Detector using Permuted Diagonal Matrix.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression.
IEEE Trans. Sustain. Comput., 2019

2018
PermDNN: Efficient Compressed DNN Architecture with Permuted Diagonal Matrices.
Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

Area-efficient K-Nearest Neighbor Design using Stochastic Computing.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

Efficient Reconfigurable Hardware Core for Convolutional Neural Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Fully-Parallel Area-Efficient Deep Neural Network Design Using Stochastic Computing.
IEEE Trans. Circuits Syst. II Express Briefs, 2017


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