World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
9212
World Ranking
6823
National Ranking
3000

Electronics and Electrical Engineering

D-Index
45
Citations
8886
World Ranking
3522
National Ranking
1303

Overview

Yier Jin is affiliated with the University of Florida in the United States and has a research focus primarily in Computer Science and Engineering. Their work spans multiple subfields including Artificial Intelligence, Hardware and Architecture, Electrical and Electronic Engineering, Signal Processing, and Computer Networks and Communications.

Their research addresses a range of topics, notably:

  • Physical Unclonable Functions (PUFs) and Hardware Security
  • Advanced Malware Detection Techniques
  • Cryptographic Implementations and Security
  • Security and Verification in Computing
  • Smart Grid Security and Resilience
  • Chaos-based Image/Signal Encryption
  • Adversarial Robustness in Machine Learning

Yier Jin has published extensively in various venues, frequently contributing to:

  • arXiv (Cornell University)
  • IEEE Transactions on Information Forensics and Security
  • IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • ACM Journal on Emerging Technologies in Computing Systems

Their recent papers include:

  • "Robust Adversarial Objects against Deep Learning Models," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Design and Analysis of Secure Distributed Estimator for Vehicular Platooning in Adversarial Environment," 2020, IEEE Transactions on Intelligent Transportation Systems
  • "Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "On Sensor Security in the Era of IoT and CPS," 2021, SN Computer Science
  • "A Review and Comparison of AI-enhanced Side Channel Analysis," 2022, ACM Journal on Emerging Technologies in Computing Systems

Yier Jin has frequently collaborated with several researchers, including:

  • Xiaolong Guo
  • Jiaji He
  • Yaodan Hu
  • Yiqiang Zhao
  • Haocheng Ma

Best Publications

  • Hardware Trojan detection using path delay fingerprint

    Yier Jin;Y. Makris

  • Hardware Trojans: Lessons Learned after One Decade of Research

    K. Xiao;D. Forte;Y. Jin;R. Karri

  • Privacy and Security in Internet of Things and Wearable Devices

    Orlando Arias;Jacob Wurm;Khoa Hoang;Yier Jin

  • AppSAT: Approximately deobfuscating integrated circuits

    Kaveh Shamsi;Meng Li;Travis Meade;Zheng Zhao

  • Security analysis on consumer and industrial IoT devices

    Jacob Wurm;Khoa Hoang;Orlando Arias;Ahmad-Reza Sadeghi

  • Experiences in Hardware Trojan design and implementation

    Yier Jin;Nathan Kupp;Yiorgos Makris

  • Provably Secure Camouflaging Strategy for IC Protection

    Meng Li;Kaveh Shamsi;Travis Meade;Zheng Zhao

  • HAFIX: hardware-assisted flow integrity extension

    Lucas Davi;Matthias Hanreich;Debayan Paul;Ahmad-Reza Sadeghi

  • Internet-of-Things Security and Vulnerabilities: Taxonomy, Challenges, and Practice

    Kejun Chen;Shuai Zhang;Zhikun Li;Yi Zhang

  • Proof-Carrying Hardware Intellectual Property: A Pathway to Trusted Module Acquisition

    Eric Love;Yier Jin;Yiorgos Makris

  • Cyclic Obfuscation for Creating SAT-Unresolvable Circuits

    Kaveh Shamsi;Meng Li;Travis Meade;Zheng Zhao

  • Hardware Trojan Detection Through Chip-Free Electromagnetic Side-Channel Statistical Analysis

    Jiaji He;Yiqiang Zhao;Xiaolong Guo;Yier Jin

  • Hardware Trojans in Wireless Cryptographic ICs

    Y. Jin;Y. Makris

  • The Changing Computing Paradigm With Internet of Things: A Tutorial Introduction

    Sandip Ray;Yier Jin;Arijit Raychowdhury

  • CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples.

    Honggang Yu;Kaichen Yang;Teng Zhang;Yun-Yun Tsai

  • AVFSM: a framework for identifying and mitigating vulnerabilities in FSMs

    Adib Nahiyan;Kan Xiao;Kun Yang;Yeir Jin

  • Robust Adversarial Objects against Deep Learning Models

    Tzungyu Tsai;Kaichen Yang;Tsung-Yi Ho;Yier Jin

  • Survey of machine learning methods for detecting false data injection attacks in power systems

    Ali Sayghe;Yaodan Hu;Ioannis Zografopoulos;XiaoRui Liu

  • Silicon Demonstration of Hardware Trojan Design and Detection in Wireless Cryptographic ICs

    Yu Liu;Yier Jin;Aria Nosratinia;Yiorgos Makris

  • DeepEM: Deep Neural Networks Model Recovery through EM Side-Channel Information Leakage

    Honggang Yu;Haocheng Ma;Kaichen Yang;Yiqiang Zhao

Frequent Co-Authors

Yiorgos Makris
Yiorgos Makris The University of Texas at Dallas
David Z. Pan
David Z. Pan The University of Texas at Austin
Mark Tehranipoor
Mark Tehranipoor University of Florida
Ahmad-Reza Sadeghi
Ahmad-Reza Sadeghi Technical University of Darmstadt
Michael Niemier
Michael Niemier University of Notre Dame
Tsung-Yi Ho
Tsung-Yi Ho Chinese University of Hong Kong
Lucas Davi
Lucas Davi University of Duisburg-Essen
Pierre-Emmanuel Gaillardon
Pierre-Emmanuel Gaillardon University of Utah
Xinwen Fu
Xinwen Fu University of Massachusetts Lowell
Gang Quan
Gang Quan Florida International University

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