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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸°úÇÐȸ Çмú´ëȸ > KCC 2021

KCC 2021

Current Result Document :

ÇѱÛÁ¦¸ñ(Korean Title) DeeperSearch: ´º·² ³×Æ®¿öÅ© Àû´ëÀû °ø°ÝÀÇ Çâ»ó°ú È®Àå
¿µ¹®Á¦¸ñ(English Title) DeeperSearch: Deep, Deeper, and Wider
ÀúÀÚ(Author) °­¹Î¼ö   ¸¶ÀÌ Åü Áî¾û   ¾ÆÀÌÅçŲ ¹ÙÀ̱¸Å¸³ë¹Ù   »êÀÚ¸£º¤ ¶óÅ©¸ð³ëÇÁ   Min-Soo Kang   Tung Duong Mai   Aitolkyn Baigutanova   Sanjarbek Rakhmonov  
¿ø¹®¼ö·Ïó(Citation) VOL 48 NO. 01 PP. 2025 ~ 2027 (2021. 06)
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(Korean Abstract)
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(English Abstract)
Blackbox adversarial attack poses huge security risks to AI-based software. However, current researches usually focus on computer vision - a well-explored domain and often assumes ideal, somewhat impractical setting. In this work, we attempted to generate adversarial reaction using a simple search-based method called DeepSearch. We then test the method on three more challenging but realistic settings and expand the method into audio domain.
Å°¿öµå(Keyword)
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