Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Investigation on Learning, Polluting, and Unlearning the Spam Emails
  for Lifelong Learning   Machine unlearning for security is studied in this context. Several spam
email detection methods exist, each of which employs a different algorithm to
detect undesired spam emails. But these models are vulnerable to attacks. Many
attackers exploit the model by polluting the data, which are trained to the
model in various ways. So to act deftly in such situations model needs to
readily unlearn the polluted data without the need for retraining. Retraining
is impractical in most cases as there is already a massive amount of data
trained to the model in the past, which needs to be trained again just for
removing a small amount of polluted data, which is often significantly less
than 1%. This problem can be solved by developing unlearning frameworks for all
spam detection models. In this research, unlearning module is integrated into
spam detection models that are based on Naive Bayes, Decision trees, and Random
Forests algorithms. To assess the benefits of unlearning over retraining, three
spam detection models are polluted and exploited by taking attackers' positions
and proving models' vulnerability. Reduction in accuracy and true positive
rates are shown in each case showing the effect of pollution on models. Then
unlearning modules are integrated into the models, and polluted data is
unlearned; on testing the models after unlearning, restoration of performance
is seen. Also, unlearning and retraining times are compared with different
pollution data sizes on all models. On analyzing the findings, it can be
concluded that unlearning is considerably superior to retraining. Results show
that unlearning is fast, easy to implement, easy to use, and effective.

19
The categories of this paper are: eess
9
The categories of this paper are: nlin
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
4
The categories of this paper are: cond-mat
7
The categories of this paper are: hep-th
2
The categories of this paper are: math
16
The categories of this paper are: stat
23
The categories of this paper are: solv-int
6
The categories of this paper are: astro-ph
12
The categories of this paper are: nucl-th
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
14
The categories of this paper are: math-ph