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Can we Defend Against the Unknown? An Empirical Study About Threshold
  Selection for Neural Network Monitoring

Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring

14 May 2024
Khoi Tran Dang
Kevin Delmas
Jérémie Guiochet
Joris Guérin
ArXivPDFHTML

Papers citing "Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring"

2 / 2 papers shown
Title
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Unveiling AI's Blind Spots: An Oracle for In-Domain, Out-of-Domain, and Adversarial Errors
Shuangpeng Han
Mengmi Zhang
35
0
0
03 Oct 2024
Unifying Evaluation of Machine Learning Safety Monitors
Unifying Evaluation of Machine Learning Safety Monitors
Joris Guérin
Raul Sena Ferreira
Kevin Delmas
Jérémie Guiochet
30
10
0
31 Aug 2022
1