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When Measures are Unreliable: Imperceptible Adversarial Perturbations
  toward Top-$k$ Multi-Label Learning

When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-kkk Multi-Label Learning

27 July 2023
Yuchen Sun
Qianqian Xu
Zitai Wang
Qingming Huang
    AAML
ArXivPDFHTML

Papers citing "When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-$k$ Multi-Label Learning"

3 / 3 papers shown
Title
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball
Chen Ma
Liheng Ma
Yingxue Zhang
Haolun Wu
Xue Liu
Mark J. Coates
39
33
0
13 Jan 2021
TrackFormer: Multi-Object Tracking with Transformers
TrackFormer: Multi-Object Tracking with Transformers
Tim Meinhardt
A. Kirillov
Laura Leal-Taixe
Christoph Feichtenhofer
VOT
208
732
0
07 Jan 2021
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
256
3,102
0
04 Nov 2016
1