Yimin Chen

Orcid: 0000-0002-7452-2165

Affiliations:
  • University of Massachusetts Lowell (UMASS Lowell), Computer Science Department, Lowell, USA
  • Virginia Tech, Computer Science Department, Blacksburg, USA (former)
  • Arizona State University, School of Electrical, Computer and Energy Engineering, Tempe, AZ, USA (PhD 2018)


According to our database1, Yimin Chen authored at least 21 papers between 2015 and 2023.

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

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
MANDA: On Adversarial Example Detection for Network Intrusion Detection System.
IEEE Trans. Dependable Secur. Comput., 2023

Evaluating the Impact of Noisy Point Clouds on Wireless Gesture Recognition Systems.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023

mmLock: User Leaving Detection Against Data Theft via High-Quality mmWave Radar Imaging.
Proceedings of the 32nd International Conference on Computer Communications and Networks, 2023

2022
NOSnoop: An Effective Collaborative Meta-Learning Scheme Against Property Inference Attack.
IEEE Internet Things J., 2022

Clang __usercall: towards native support for user defined calling conventions.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning.
Proceedings of the IEEE INFOCOM 2022, 2022

Transferability of Adversarial Examples in Machine Learning-based Malware Detection.
Proceedings of the 10th IEEE Conference on Communications and Network Security, 2022

FLARE: Defending Federated Learning against Model Poisoning Attacks via Latent Space Representations.
Proceedings of the ASIA CCS '22: ACM Asia Conference on Computer and Communications Security, Nagasaki, Japan, 30 May 2022, 2022

Squeezing More Utility via Adaptive Clipping on Differentially Private Gradients in Federated Meta-Learning.
Proceedings of the Annual Computer Security Applications Conference, 2022

2021
MANDA: On Adversarial Example Detection for Network Intrusion Detection System.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
IndoorWaze: A Crowdsourcing-Based Context-Aware Indoor Navigation System.
IEEE Trans. Wirel. Commun., 2020

2018
Beware of What You Share: Inferring User Locations in Venmo.
IEEE Internet Things J., 2018

EyeTell: Video-Assisted Touchscreen Keystroke Inference from Eye Movements.
Proceedings of the 2018 IEEE Symposium on Security and Privacy, 2018

Proximity-Proof: Secure and Usable Mobile Two-Factor Authentication.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

Secure Crowdsourced Indoor Positioning Systems.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017
Your face your heart: Secure mobile face authentication with photoplethysmograms.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

POWERFUL: Mobile app fingerprinting via power analysis.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2016
VISIBLE: Video-Assisted Keystroke Inference from Tablet Backside Motion.
Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

iLock: Immediate and Automatic Locking of Mobile Devices against Data Theft.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

DPSense: Differentially Private Crowdsourced Spectrum Sensing.
Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

2015
Your song your way: Rhythm-based two-factor authentication for multi-touch mobile devices.
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015


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