Exploiting device-level non-idealities for adversarial attacks on ReRAM-based neural networks

被引:0
|
作者
McLemore, Tyler [1 ]
Sunbury, Robert [1 ]
Brodzik, Seth [1 ]
Cronin, Zachary [1 ]
Timmons, Elias [1 ]
Chakraborty, Dwaipayan [1 ]
机构
[1] Department of Electrical and Computer Engineering, Rowan University, 201 Mullica Hill Rd, Glassboro,NJ,08028, United States
关键词
461.4 Ergonomics and Human Factors Engineering - 525.2 Energy Conservation - 714.2 Semiconductor Devices and Integrated Circuits - 722.1 Data Storage; Equipment and Techniques;
D O I
10.1016/j.memori.2023.100053
中图分类号
学科分类号
摘要
121
引用
收藏
相关论文
共 50 条
  • [31] 3D-ReG: A 3D ReRAM-based Heterogeneous Architecture for Training Deep Neural Networks
    Li, Bing
    Doppa, Janardhan Rao
    Pande, Partha Pratim
    Chakrabarty, Krishnendu
    Qiu, Joe X.
    Li, Hai
    ACM JOURNAL ON EMERGING TECHNOLOGIES IN COMPUTING SYSTEMS, 2020, 16 (02)
  • [32] Watermarking-based Defense against Adversarial Attacks on Deep Neural Networks
    Li, Xiaoting
    Chen, Lingwei
    Zhang, Jinquan
    Larus, James
    Wu, Dinghao
    2021 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2021,
  • [33] An ADMM-Based Universal Framework for Adversarial Attacks on Deep Neural Networks
    Zhao, Pu
    Liu, Sijia
    Wang, Yanzhi
    Lin, Xue
    PROCEEDINGS OF THE 2018 ACM MULTIMEDIA CONFERENCE (MM'18), 2018, : 1065 - 1073
  • [34] Adversarial attacks on spiking convolutional neural networks for event-based vision
    Buechel, Julian
    Lenz, Gregor
    Hu, Yalun
    Sheik, Sadique
    Sorbaro, Martino
    FRONTIERS IN NEUROSCIENCE, 2022, 16
  • [35] Audio Steganography Based on Iterative Adversarial Attacks Against Convolutional Neural Networks
    Wu, Junqi
    Chen, Bolin
    Luo, Weiqi
    Fang, Yanmei
    IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2020, 15 : 2282 - 2294
  • [36] Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks
    Zheng, Qilin
    Wang, Zongwei
    Feng, Zishun
    Yan, Bonan
    Cai, Yimao
    Huang, Ru
    Chen, Yiran
    Yang, Chia-Lin
    Li, Hai
    PROCEEDINGS OF THE 2020 57TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2020,
  • [37] Uncertainty estimation-based adversarial attacks: a viable approach for graph neural networks
    Ismail Alarab
    Simant Prakoonwit
    Soft Computing, 2023, 27 : 7925 - 7937
  • [38] Uncertainty estimation-based adversarial attacks: a viable approach for graph neural networks
    Alarab, Ismail
    Prakoonwit, Simant
    SOFT COMPUTING, 2023, 27 (12) : 7925 - 7937
  • [39] A Data Augmentation-Based Defense Method Against Adversarial Attacks in Neural Networks
    Zeng, Yi
    Qiu, Han
    Memmi, Gerard
    Qiu, Meikang
    ALGORITHMS AND ARCHITECTURES FOR PARALLEL PROCESSING, ICA3PP 2020, PT II, 2020, 12453 : 274 - 289
  • [40] Improving adversarial attacks on deep neural networks via constricted gradient-based perturbations
    Xiao, Yatie
    Pun, Chi-Man
    INFORMATION SCIENCES, 2021, 571 : 104 - 132