Design of AI Trojans for Evading Machine Learning-based Detection of Hardware Trojans

被引:0
|
作者
Pan, Zhixin [1 ]
Mishra, Prabhat [1 ]
机构
[1] University of Florida, Department of Computer & Information Science & Engineering, Gainesville,FL, United States
来源
Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022 | 2022年
关键词
Compendex;
D O I
2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022
中图分类号
学科分类号
摘要
Machine learning
引用
收藏
页码:682 / 687
相关论文
共 38 条
  • [1] AI Trojan Attack for Evading Machine Learning-based Detection of Hardware Trojans
    Pan, Zhixin
    Mishra, Prabhat
    IEEE Transactions on Computers, 2023, : 1 - 14
  • [2] Machine Learning-Based Classification of Hardware Trojans Using Power Side-Channel Signals
    Bhatta, Niraj Prasad
    Giri, Usha
    Amsaad, Fathi
    Midwest Symposium on Circuits and Systems, 2024, : 990 - 994
  • [3] An AI Architecture with the Capability to Classify and Explain Hardware Trojans
    Whitten, Paul
    Wolff, Francis
    Papachristou, Chris
    arXiv,
  • [4] Countermeasure using Physically Unclonable Function for Hardware Trojans in Edge AI Devices
    Meijo University, 1-501 Shiogamaguchi, Tempaku-ku, Aichi, Nagoya, Japan
    Proc. Int. Conf. Appl. Syst. Innov., ICASI, (323-325):
  • [5] Red team: Design of intelligent hardware trojans with known defense schemes
    ECE Department, University of Connecticut, United States
    Proc IEEE Int Conf Comput Des VLSI Comput Process, 2011, (309-312):
  • [6] Technique for detecting hardware-based Trojans using a convolutional neural network
    Ravichandran, C.
    Nagalakshmi, T.J.
    Bharathi, P. Shyamala
    Sivakumaran, C.
    International Journal of Information and Computer Security, 2024, 23 (03): : 338 - 347
  • [7] Leveraging Machine Learning-Based PDF Malware Detection in Snort
    Chbib, Fadlallah
    Mustafa, Ali
    Khatoun, Rida
    International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2024, 2024,
  • [8] Machine Learning-Based Anomaly Detection for Multivariate Time Series with Correlation Dependency
    Chauhan, Shashank
    Lee, Sudong
    IEEE Access, 2022, 10 : 132062 - 132070
  • [9] Simple Heuristics as a Viable Alternative to Machine Learning-Based Anomaly Detection in Industrial IoT
    Bicski B.
    Farkas K.
    Pekar A.
    IEEE Internet of Things Magazine, 2023, 6 (03): : 104 - 109
  • [10] Review of Machine Learning-Based Distributed Denial-of-Service (DDoS) Detection and Prevention
    Department of Computer Science and Engineering, East West University, Dhaka, Bangladesh
    Lect. Notes Networks Syst., (319-326):