ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.06752
  4. Cited By
Gradient Band-based Adversarial Training for Generalized Attack Immunity
  of A3C Path Finding

Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding

18 July 2018
Tong Chen
Wenjia Niu
Yingxiao Xiang
XiaoXuan Bai
Jiqiang Liu
Zhen Han
Gang Li
    AAML
ArXivPDFHTML

Papers citing "Gradient Band-based Adversarial Training for Generalized Attack Immunity of A3C Path Finding"

9 / 9 papers shown
Title
CuDA2: An approach for Incorporating Traitor Agents into Cooperative
  Multi-Agent Systems
CuDA2: An approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems
Zhen Chen
Yong Liao
Youpeng Zhao
Zipeng Dai
Jian Zhao
AAML
28
0
0
25 Jun 2024
Toward Evaluating Robustness of Reinforcement Learning with Adversarial
  Policy
Toward Evaluating Robustness of Reinforcement Learning with Adversarial Policy
Jiawei Zhao
Xingjun Ma
Florian Schäfer
Xinyu Wang
Anima Anandkumar
Cong Wang
AAML
26
1
0
04 May 2023
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
31
236
0
01 Aug 2021
Robust Deep Reinforcement Learning against Adversarial Perturbations on
  State Observations
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Huan Zhang
Hongge Chen
Chaowei Xiao
Bo-wen Li
Mingyan D. Liu
Duane S. Boning
Cho-Jui Hsieh
AAML
38
261
0
19 Mar 2020
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning
Inaam Ilahi
Muhammad Usama
Junaid Qadir
M. Janjua
Ala I. Al-Fuqaha
D. Hoang
Dusit Niyato
AAML
61
132
0
27 Jan 2020
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement
  Learning Agents
Spatiotemporally Constrained Action Space Attacks on Deep Reinforcement Learning Agents
Xian Yeow Lee
Sambit Ghadai
Kai Liang Tan
C. Hegde
S. Sarkar
AAML
11
49
0
05 Sep 2019
A Training-based Identification Approach to VIN Adversarial Examples
A Training-based Identification Approach to VIN Adversarial Examples
Yingdi Wang
Wenjia Niu
Tong Chen
Yingxiao Xiang
Jingjing Liu
Gang Li
Jiqiang Liu
AAML
GAN
20
0
0
18 Oct 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,113
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,847
0
08 Jul 2016
1