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researcher

Min Du

6 papers hereh-index 101.3k citations16 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author5

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.CR1
  • cs.SI1
  • eess.IV1
same name
  • Min Du — 22 papers, h 11
  • Min Du — 8 papers, h 3
  • Min Du — 3 papers, h 2
  • Min Du — 2 papers, h 1
  • Min Du — 2 papers, h 1
  • Min Du — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182021
most citedFree-riders in Federated Learning: Attacks and Defenses

70 citations · 141 across the 3 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.LG2019★ 70 cited

Free-riders in Federated Learning: Attacks and Defenses

Jierui Lin, Min Du, Jian Liu

Federated learning is a recently proposed paradigm that enables multiple clients to collaboratively train a joint model. It allows clients to train models locally, and leverages th…

cs.LG2019★ 69 cited

Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy

Min Du, Ruoxi Jia, Dawn Song

Outlier detection and novelty detection are two important topics for anomaly detection. Suppose the majority of a dataset are drawn from a certain distribution, outlier detection a…

cs.SI2019

Time-aware Gradient Attack on Dynamic Network Link Prediction

Jinyin Chen, Jian Zhang, Zhi Chen +2

In network link prediction, it is possible to hide a target link from being predicted with a small perturbation on network structure. This observation may be exploited in many real…

cs.CR2019

TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems

Wenbo Guo, Lun Wang, Xinyu Xing +2

A trojan backdoor is a hidden pattern typically implanted in a deep neural network. It could be activated and thus forces that infected model behaving abnormally only when an input…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.