Efficient Repair of Polluted Machine Learning Systems via Causal Unlearning-Reference-Cited by-同舟云学术

Efficient Repair of Polluted Machine Learning Systems via Causal Unlearning

Published:2018-05-29 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2018 on Asia Conference on Computer and Communications Security
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Author:

Cao Yinzhi¹,Yu Alexander Fangxiao²,Aday Andrew²,Stahl Eric¹,Merwine Jon¹,Yang Junfeng²

Affiliation:

1. Lehigh University, Bethlehem, PA, USA

2. Columbia University, New York, NY, USA

Funder

NSF

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3196494.3196517

Reference44 articles.

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2. Enron-spam dataset. http://www.aueb.gr/users/ion/data/enron-spam/index.html. Enron-spam dataset. http://www.aueb.gr/users/ion/data/enron-spam/index.html.

3. Liblinear. https://www.csie.ntu.edu.tw/~cjlin/liblinear/. Liblinear. https://www.csie.ntu.edu.tw/~cjlin/liblinear/.

4. Machine learning (stanford university). https://www.coursera.org/learn/machine-learning. Machine learning (stanford university). https://www.coursera.org/learn/machine-learning.

5. Spamassassin dataset. https://spamassassin.apache.org/publiccorpus/. Spamassassin dataset. https://spamassassin.apache.org/publiccorpus/.

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