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Xinglong Chang

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2023
[c3]
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Xinglong Chang, Katharina Dost, Kaiqi Zhao, Ambra Demontis, Fabio Roli, Gillian Dobbie, Jörg Wicker:
BAARD: Blocking Adversarial Examples by Testing for Applicability, Reliability and Decidability. PAKDD (1) 2023: 3-14
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Zeyu Chen, Katharina Dost, Xuan Zhu, Xinglong Chang, Gillian Dobbie, Jörg Wicker:
Targeted Attacks on Time Series Forecasting. PAKDD (4) 2023: 314-327
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Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker:
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. ECML/PKDD (7) 2023: 310-314
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Zac Pullar-Strecker, Xinglong Chang, Liam Brydon, Ioannis Ziogas, Katharina Dost, Jörg Wicker:
Memento: Facilitating Effortless, Efficient, and Reliable ML Experiments. CoRR abs/2304.09175 (2023)
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Xinglong Chang, Gillian Dobbie, Jörg Wicker:
Fast Adversarial Label-Flipping Attack on Tabular Data. CoRR abs/2310.10744 (2023)
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Xinglong Chang, Katharina Dost, Gillian Dobbie, Jörg Wicker:
Poison is Not Traceless: Fully-Agnostic Detection of Poisoning Attacks. CoRR abs/2310.16224 (2023)

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