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TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents

TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents

1 March 2019
Panagiota Kiourti
Kacper Wardega
Susmit Jha
Wenchao Li
    AAML
ArXivPDFHTML

Papers citing "TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents"

13 / 13 papers shown
Title
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement
  Learning Agents
SleeperNets: Universal Backdoor Poisoning Attacks Against Reinforcement Learning Agents
Ethan Rathbun
Christopher Amato
Alina Oprea
OffRL
AAML
46
4
0
30 May 2024
Recover Triggered States: Protect Model Against Backdoor Attack in
  Reinforcement Learning
Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning
Hao Chen
Chen Gong
Yizhen Wang
Xinwen Hou
AAML
28
1
0
01 Apr 2023
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning
Yinglun Xu
Qi Zeng
Gagandeep Singh
AAML
40
6
0
30 May 2022
Deep-Attack over the Deep Reinforcement Learning
Deep-Attack over the Deep Reinforcement Learning
Yang Li
Quanbiao Pan
Min Zhang
AAML
32
13
0
02 May 2022
Neighboring Backdoor Attacks on Graph Convolutional Network
Neighboring Backdoor Attacks on Graph Convolutional Network
Liang Chen
Qibiao Peng
Jintang Li
Yang Liu
Jiawei Chen
Yong Li
Zibin Zheng
GNN
AAML
32
11
0
17 Jan 2022
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning
Execute Order 66: Targeted Data Poisoning for Reinforcement Learning
Harrison Foley
Liam H. Fowl
Tom Goldstein
Gavin Taylor
AAML
23
9
0
03 Jan 2022
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine
  learning-based genomic analysis
TRAPDOOR: Repurposing backdoors to detect dataset bias in machine learning-based genomic analysis
Esha Sarkar
Michail Maniatakos
32
3
0
14 Aug 2021
Topological Detection of Trojaned Neural Networks
Topological Detection of Trojaned Neural Networks
Songzhu Zheng
Yikai Zhang
H. Wagner
Mayank Goswami
Chao Chen
AAML
32
40
0
11 Jun 2021
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural
  Backdoors
TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors
Ren Pang
Zheng-Wei Zhang
Xiangshan Gao
Zhaohan Xi
S. Ji
Peng Cheng
Xiapu Luo
Ting Wang
AAML
29
31
0
16 Dec 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
45
592
0
17 Jul 2020
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement
  Learning-based Traffic Congestion Control Systems
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems
Yue Wang
Esha Sarkar
Wenqing Li
Michail Maniatakos
Saif Eddin Jabari
AAML
28
60
0
17 Mar 2020
The TrojAI Software Framework: An OpenSource tool for Embedding Trojans
  into Deep Learning Models
The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models
Kiran Karra
C. Ashcraft
Neil Fendley
19
35
0
13 Mar 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,849
0
08 Jul 2016
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