Forming Adversarial Example Attacks Against Deep Neural Networks With Reinforcement Learning

被引：0
|
作者：
Akers, Matthew [1 ]
Barton, Armon [2 ]
机构：
[1] US Second Fleet, Hampton Rd, Norfolk, VA 23455 USA
[2] Dept Comp Sci Naval Postgrad Sch, Dept Comp Sci, Monterey, CA 93943 USA
来源：
COMPUTER | 2024年 / 57卷 / 01期
关键词：
Deep learning; Perturbation methods; Reinforcement learning; Artificial neural networks; GAME; GO;
D O I：
10.1109/MC.2023.3324751
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
We propose a novel reinforcement learning-based adversarial example attack, Adversarial Reinforcement Learning Agent, designed to learn imperceptible perturbation that causes misclassification when added to the input of a deep learning classifier.
引用
收藏
页码：88 / 99
页数：12
相关论文
共 50 条
  • [21] Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters
    El-Allami, Rida
    Marchisio, Alberto
    Shafique, Muhammad
    Alouani, Ihsen
    PROCEEDINGS OF THE 2021 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE 2021), 2021, : 774 - 779
  • [22] Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks
    Zheng, Zhihao
    Hong, Pengyu
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 31 (NIPS 2018), 2018, 31
  • [23] A Method to Verify Neural Network Decoders Against Adversarial Attacks
    Shen, Kaijie
    Li, Chengju
    IEEE COMMUNICATIONS LETTERS, 2025, 29 (04) : 843 - 847
  • [24] Black-Box Reward Attacks Against Deep Reinforcement Learning Based on Successor Representation
    Cai, Kanting
    Zhu, Xiangbin
    Hu, Zhao-Long
    IEEE ACCESS, 2022, 10 : 51548 - 51560
  • [25] Robust Graph Neural Networks Against Adversarial Attacks via Jointly Adversarial Training
    Tian, Hu
    Ye, Bowei
    Zheng, Xiaolong
    Wu, Desheng Dash
    IFAC PAPERSONLINE, 2020, 53 (05): : 420 - 425
  • [26] Robustness of Sparsely Distributed Representations to Adversarial Attacks in Deep Neural Networks
    Sardar, Nida
    Khan, Sundas
    Hintze, Arend
    Mehra, Priyanka
    ENTROPY, 2023, 25 (06)
  • [27] On the Expressivity of Neural Networks for Deep Reinforcement Learning
    Dong, Kefan
    Luo, Yuping
    Yu, Tianhe
    Finn, Chelsea
    Ma, Tengyu
    INTERNATIONAL CONFERENCE ON MACHINE LEARNING, VOL 119, 2020, 119
  • [28] Adversarial Attacks on Multiagent Deep Reinforcement Learning Models in Continuous Action Space
    Zhou, Ziyuan
    Liu, Guanjun
    Guo, Weiran
    Zhou, MengChu
    IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2024, 54 (12): : 7633 - 7646
  • [29] Robustness Against Adversarial Attacks in Neural Networks Using Incremental Dissipativity
    Aquino, Bernardo
    Rahnama, Arash
    Seiler, Peter
    Lin, Lizhen
    Gupta, Vijay
    IEEE CONTROL SYSTEMS LETTERS, 2022, 6 : 2341 - 2346
  • [30] Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
    Gomrokchi, Maziar
    Amin, Susan
    Aboutalebi, Hossein
    Wong, Alexander
    Precup, Doina
    IEEE ACCESS, 2023, 11 : 42796 - 42808
12345