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Adversarial Learning-Based On-Line Anomaly Monitoring for Assured
  Autonomy

Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy

12 November 2018
Naman Patel
Apoorva Nandini Saridena
A. Choromańska
Prashanth Krishnamurthy
Farshad Khorrami
ArXivPDFHTML

Papers citing "Adversarial Learning-Based On-Line Anomaly Monitoring for Assured Autonomy"

4 / 4 papers shown
Title
Advancing Human-Machine Teaming: Concepts, Challenges, and Applications
Advancing Human-Machine Teaming: Concepts, Challenges, and Applications
Dian Chen
Han Jun Yoon
Zelin Wan
Nithin Alluru
Sang Won Lee
...
Frederica F. Nelson
Sunghyun Yoon
Hyuk Lim
Dan Dongseong Kim
Jin-Hee Cho
42
0
0
16 Mar 2025
Decision-making of Emergent Incident based on P-MADDPG
Decision-making of Emergent Incident based on P-MADDPG
Yibo Guo
Lishuo Hou
Mingxin Li
Yue Yuan
Shu Liu
Jingyi Xue
Y. Han
Mingliang Xu
AI4CE
22
0
0
19 Mar 2022
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly
  Detection
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
Hao Fu
A. Veldanda
Prashanth Krishnamurthy
S. Garg
Farshad Khorrami
AAML
33
14
0
04 Nov 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,842
0
03 Feb 2017
1