Adversarial Robustness Toolbox v0.2.2
By Maria-Irina Nicolae, Mathieu Sinn, Tran Ngoc Minh, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Ian M. Molloy, Ben Edwards. 2018
59 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Bryant Chen
- Wilka Carvalho
- Heiko Ludwig
- Joshua Patterson
- Corey Nolet
- Nathalie Baracaldo
- Ben Edwards
- Ian M. Molloy
Citations in the corpus
- Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering (2018, methodology): “We implemented and released our method through the open source IBM Adversarial Robustness Toolbox (Nico-lae et al., 2018).”
- Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence (2020, methodology): “Python-based libraries for adversarial learning include Cleverhans [173], FoolBox [174], ART [175], DEEPSEC [176], and AdvBox [177].”