Search混淆returned 8 results

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1

Confusing sample-driven inter-cluster optimization method for short text clustering

易混淆样本驱动的簇间分布优化短文本聚类

Enkaer Nuertai

Ma Bo

Wang Zhen

Aizimaiti Ainiwaer

Tuerhong Wusiman

Yang Yating

confusing samples

short text clustering

large language models

contrastive learning

No. 10, 2025 : 2996-3004 doi:10.19734/j.issn.1001-3695.2025.03.0075

2

AntiMNT: topology obfuscation mechanism against multi-source network tomography

AntiMNT：一种对抗多源网络层析成像的拓扑混淆机制

Lin Hongxiu

Xing Changyou

Liu Yaqun

Ding Ke

topology obfuscation

network tomography

topology inference

deception defense

No. 1, 2023 : 257-262 doi:10.19734/j.issn.1001-3695.2022.04.0267

3

Deobfuscation method of obfuscator low level virtual machine based on dynamic analysis

基于动态分析的底层虚拟机混淆器反混淆方法

Kou Yu

Wang Qijun

deobfuscation

dynamic analysis

instruction repair

OLLVM

No. 11, 2022 : 3465-3469,3474 doi:10.19734/j.issn.1001-3695.2022.04.0157

4

Intelligent game mechanism for fingerprint detection deception

一种面向指纹探测欺骗的智能博弈对抗机制

Li Shaohui

Zhang Guomin

Song Lihua

Wang Xiulei

fingerprint detection

deception defense

fingerprint confusion

intelligent game

No. 4, 2022 : 1202-1206 doi:10.19734/j.issn.1001-3695.2021.08.0414

5

CT-CNN: overlapping confusion tree based convolutional neural network

基于可重叠混淆树的卷积神经网络

Liu Yuntao

Li Yuan

Liu Xunyun

deep learning

community detection

image classification

confusion graph

No. 3, 2022 : 938-942 doi:10.19734/j.issn.1001-3695.2021.07.0308

6

Control flow obfuscation algorithm based on redundant code

基于冗余代码的控制流混淆算法

Le Deguang

Zhao Jie

Qian Zhenjiang

redundant code

obfuscation

control flow

reverse engineering

No. 11, 2020 : 3411-3416 doi:10.19734/j.issn.1001-3695.2019.07.0290

7

Deobfuscation system for Android applications

一种用于Android应用的反控制混淆系统

Cao Hongsheng

Jiao Jian

Li Denghui

control flow deobfuscation

Android

control flow obfuscation

path detection

No. 5, 2019 : 1544-1548 doi:10.19734/j.issn.1001-3695.2017.12.0759

8

Survey of Android malware detection methods

Android恶意软件检测方法研究综述

Li Jianghua

Qiu Chen

malware detection

feature

machine learning

confusion matrix

No. 1, 2019 : 1-7 doi:10.19734/j.issn.1001-3695.2018.01.0015