Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Real-Time Adversarial Attacks   In recent years, many efforts have demonstrated that modern machine learning
algorithms are vulnerable to adversarial attacks, where small, but carefully
crafted, perturbations on the input can make them fail. While these attack
methods are very effective, they only focus on scenarios where the target model
takes static input, i.e., an attacker can observe the entire original sample
and then add a perturbation at any point of the sample. These attack approaches
are not applicable to situations where the target model takes streaming input,
i.e., an attacker is only able to observe past data points and add
perturbations to the remaining (unobserved) data points of the input. In this
paper, we propose a real-time adversarial attack scheme for machine learning
models with streaming inputs.

8
The categories of this paper are: hep-ex
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
21
The categories of this paper are: adap-org
29
The categories of this paper are: funct-an
22
The categories of this paper are: chao-dyn
0
The categories of this paper are: hep-ph
35
The categories of this paper are: mtrl-th
13
The categories of this paper are: quant-ph
15
The categories of this paper are: nucl-ex
26
The categories of this paper are: bayes-an
17
The categories of this paper are: q-fin
37
The categories of this paper are: supr-con
23
The categories of this paper are: solv-int