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완전 무인 매장의 AI 보안 취약점: 객체 검출 모델에 대한 Adversarial Patch 공격 및 Data Augmentation의 방어 효과성 분석

이원호, 나현식, 박소희, 최대선, Vol. 34, No. 2, pp. 245-261, 4월. 2024

10.13089/JKIISC.2024.34.2.245
주제어: Fully Unmanned Stores, Security Vulnerabilities, Adversarial Patch, data augmentation

준 지도 이상 탐지 기법의 성능 향상을 위한 섭동을 활용한 초구 기반 비정상 데이터 증강 기법

정병길, 권준형, 민동준, 이상근, Vol. 32, No. 4, pp. 647-660, 8월. 2022

10.13089/JKIISC.2022.32.4.647
주제어: Anomaly Detection, data augmentation, Network intrusion detection

감쇠 요소가 적용된 데이터 어그멘테이션을 이용한 대체 모델 학습과 적대적 데이터 생성 방법

민정기, 문종섭, Vol. 29, No. 6, pp. 1383-1392, 12월. 2019

10.13089/JKIISC.2019.29.6.1383
주제어: Deep Learning, Adversarial Data Generation, data augmentation, Deep Learning, Adversarial Data Generation, data augmentation

위조지문 판별률 향상을 위한 학습데이터 혼합 증강 방법

김원진, 김성빈, 유경송, 김학일, Vol. 27, No. 2, pp. 305-314, 4월. 2017

10.13089/JKIISC.2017.27.2.305

출판 목록

Vol. 34, 2024
- Vol. 34, No. 2 (4월. 2024)
- Vol. 34, No. 1 (2월. 2024)
Vol. 33, 2023
- Vol. 33, No. 6 (12월. 2023)
- Vol. 33, No. 5 (10월. 2023)
- Vol. 33, No. 4 (8월. 2023)
- Vol. 33, No. 3 (6월. 2023)
- Vol. 33, No. 2 (4월. 2023)
- Vol. 33, No. 1 (2월. 2023)
Vol. 32, 2022
- Vol. 32, No. 6 (12월. 2022)
- Vol. 32, No. 5 (10월. 2022)
- Vol. 32, No. 4 (8월. 2022)
- Vol. 32, No. 3 (6월. 2022)
- Vol. 32, No. 2 (4월. 2022)
- Vol. 32, No. 1 (2월. 2022)
Vol. 31, 2021
- Vol. 31, No. 6 (12월. 2021)
- Vol. 31, No. 5 (10월. 2021)
- Vol. 31, No. 4 (8월. 2021)
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Vol. 30, 2020
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Vol. 29, 2019
- Vol. 29, No. 6 (12월. 2019)
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Vol. 28, 2018
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Vol. 27, 2017
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Vol. 26, 2016
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Vol. 25, 2015
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Vol. 24, 2014
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Vol. 23, 2013
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Vol. 22, 2012
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Vol. 21, 2011
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Vol. 20, 2010
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Vol. 19, 2009
- Vol. 19, No. 6 (12월. 2009)
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Vol. 18, 2008
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Vol. 17, 2007
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Vol. 16, 2006
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Vol. 15, 2005
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Vol. 14, 2004
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Vol. 13, 2003
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Vol. 12, 2002
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Vol. 11, 2001
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Vol. 10, 2000
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Vol. 9, 1999
- Vol. 9, No. 4 (8월. 1999)
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Vol. 8, 1998
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Vol. 7, 1997
- Vol. 7, No. 4 (8월. 1997)
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Vol. 6, 1996
- Vol. 6, No. 4 (8월. 1996)
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Vol. 5, 1995
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Vol. 4, 1994
- Vol. 4, No. 2 (4월. 1994)
Vol. 2, 1992
- Vol. 2, No. 1 (2월. 1992)
Vol. 1, 1991
- Vol. 1, No. 1 (2월. 1991)