{"id":475823,"date":"2023-08-09T07:23:51","date_gmt":"2023-08-09T07:23:51","guid":{"rendered":""},"modified":"2023-09-05T11:11:17","modified_gmt":"2023-09-05T11:11:17","slug":"adversarial-training","status":"publish","type":"wiki","link":"https:\/\/oneproxy.pro\/vn\/wiki\/adversarial-training\/","title":{"rendered":"Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch"},"content":{"rendered":"

Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch l\u00e0 m\u1ed9t k\u1ef9 thu\u1eadt \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 c\u1ea3i thi\u1ec7n t\u00ednh b\u1ea3o m\u1eadt v\u00e0 \u0111\u1ed9 m\u1ea1nh m\u1ebd c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y tr\u01b0\u1edbc c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng \u0111\u1ed1i ngh\u1ecbch. M\u1ed9t cu\u1ed9c t\u1ea5n c\u00f4ng \u0111\u1ed1i ngh\u1ecbch \u0111\u1ec1 c\u1eadp \u0111\u1ebfn vi\u1ec7c c\u1ed1 \u00fd thao t\u00fang d\u1eef li\u1ec7u \u0111\u1ea7u v\u00e0o \u0111\u1ec3 \u0111\u00e1nh l\u1eeba m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y \u0111\u01b0a ra d\u1ef1 \u0111o\u00e1n kh\u00f4ng ch\u00ednh x\u00e1c. Nh\u1eefng cu\u1ed9c t\u1ea5n c\u00f4ng n\u00e0y l\u00e0 m\u1ed1i lo ng\u1ea1i \u0111\u00e1ng k\u1ec3, \u0111\u1eb7c bi\u1ec7t l\u00e0 trong c\u00e1c \u1ee9ng d\u1ee5ng quan tr\u1ecdng nh\u01b0 xe t\u1ef1 h\u00e0nh, ch\u1ea9n \u0111o\u00e1n y t\u1ebf v\u00e0 ph\u00e1t hi\u1ec7n gian l\u1eadn t\u00e0i ch\u00ednh. \u0110\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch nh\u1eb1m m\u1ee5c \u0111\u00edch l\u00e0m cho c\u00e1c m\u00f4 h\u00ecnh tr\u1edf n\u00ean ki\u00ean c\u01b0\u1eddng h\u01a1n b\u1eb1ng c\u00e1ch cho h\u1ecd ti\u1ebfp x\u00fac v\u1edbi c\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o.<\/p>\n

L\u1ecbch s\u1eed v\u1ec1 ngu\u1ed3n g\u1ed1c c\u1ee7a vi\u1ec7c hu\u1ea5n luy\u1ec7n \u0110\u1ed1i ngh\u1ecbch v\u00e0 l\u1ea7n \u0111\u1ea7u ti\u00ean \u0111\u1ec1 c\u1eadp \u0111\u1ebfn n\u00f3<\/h2>\n

Kh\u00e1i ni\u1ec7m \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch \u0111\u01b0\u1ee3c Ian Goodfellow v\u00e0 c\u00e1c \u0111\u1ed3ng nghi\u1ec7p c\u1ee7a \u00f4ng \u0111\u01b0a ra l\u1ea7n \u0111\u1ea7u ti\u00ean v\u00e0o n\u0103m 2014. Trong b\u00e0i b\u00e1o chuy\u00ean \u0111\u1ec1 c\u00f3 ti\u00eau \u0111\u1ec1 \u201cGi\u1ea3i th\u00edch v\u00e0 khai th\u00e1c c\u00e1c v\u00ed d\u1ee5 v\u1ec1 \u0111\u1ed1i th\u1ee7\u201d, h\u1ecd \u0111\u00e3 ch\u1ee9ng minh t\u00ednh d\u1ec5 b\u1ecb t\u1ed5n th\u01b0\u01a1ng c\u1ee7a m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh tr\u01b0\u1edbc c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng \u0111\u1ed1i ngh\u1ecbch v\u00e0 \u0111\u1ec1 xu\u1ea5t m\u1ed9t ph\u01b0\u01a1ng ph\u00e1p \u0111\u1ec3 ch\u1ed1ng l\u1ea1i c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng nh\u01b0 v\u1eady. \u00dd t\u01b0\u1edfng n\u00e0y \u0111\u01b0\u1ee3c l\u1ea5y c\u1ea3m h\u1ee9ng t\u1eeb c\u00e1ch con ng\u01b0\u1eddi h\u1ecdc c\u00e1ch ph\u00e2n bi\u1ec7t gi\u1eefa d\u1eef li\u1ec7u th\u1eadt v\u00e0 d\u1eef li\u1ec7u b\u1ecb thao t\u00fang th\u00f4ng qua vi\u1ec7c ti\u1ebfp x\u00fac v\u1edbi c\u00e1c t\u00ecnh hu\u1ed1ng kh\u00e1c nhau trong qu\u00e1 tr\u00ecnh h\u1ecdc t\u1eadp c\u1ee7a h\u1ecd.<\/p>\n

Th\u00f4ng tin chi ti\u1ebft v\u1ec1 \u0111\u00e0o t\u1ea1o \u0111\u1ed1i th\u1ee7. M\u1edf r\u1ed9ng ch\u1ee7 \u0111\u1ec1 Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch.<\/h2>\n

Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch li\u00ean quan \u0111\u1ebfn vi\u1ec7c t\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n b\u1eb1ng c\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch \u0111\u01b0\u1ee3c x\u00e2y d\u1ef1ng c\u1ea9n th\u1eadn. Nh\u1eefng v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch n\u00e0y \u0111\u01b0\u1ee3c t\u1ea1o ra b\u1eb1ng c\u00e1ch \u00e1p d\u1ee5ng nh\u1eefng nhi\u1ec5u lo\u1ea1n kh\u00f4ng th\u1ec3 nh\u1eadn th\u1ea5y \u0111\u1ed1i v\u1edbi d\u1eef li\u1ec7u g\u1ed1c \u0111\u1ec3 g\u00e2y ra s\u1ef1 ph\u00e2n lo\u1ea1i sai c\u1ee7a m\u00f4 h\u00ecnh. B\u1eb1ng c\u00e1ch \u0111\u00e0o t\u1ea1o m\u00f4 h\u00ecnh tr\u00ean c\u1ea3 d\u1eef li\u1ec7u s\u1ea1ch v\u00e0 d\u1eef li\u1ec7u \u0111\u1ed1i ngh\u1ecbch, m\u00f4 h\u00ecnh s\u1ebd tr\u1edf n\u00ean m\u1ea1nh m\u1ebd h\u01a1n v\u00e0 kh\u00e1i qu\u00e1t h\u00f3a t\u1ed1t h\u01a1n c\u00e1c v\u00ed d\u1ee5 ch\u01b0a th\u1ea5y. Qu\u00e1 tr\u00ecnh l\u1eb7p l\u1ea1i vi\u1ec7c t\u1ea1o c\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch v\u00e0 c\u1eadp nh\u1eadt m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c l\u1eb7p l\u1ea1i cho \u0111\u1ebfn khi m\u00f4 h\u00ecnh th\u1ec3 hi\u1ec7n \u0111\u1ed9 tin c\u1eady th\u1ecfa \u0111\u00e1ng.<\/p>\n

C\u1ea5u tr\u00fac b\u00ean trong c\u1ee7a \u0111\u00e0o t\u1ea1o \u0111\u1ed1i th\u1ee7. C\u00e1ch th\u1ee9c ho\u1ea1t \u0111\u1ed9ng c\u1ee7a \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch.<\/h2>\n

C\u1ed1t l\u00f5i c\u1ee7a \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch n\u1eb1m \u1edf qu\u00e1 tr\u00ecnh l\u1eb7p \u0111i l\u1eb7p l\u1ea1i vi\u1ec7c t\u1ea1o ra c\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch v\u00e0 c\u1eadp nh\u1eadt m\u00f4 h\u00ecnh. C\u00e1c b\u01b0\u1edbc chung c\u1ee7a \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch nh\u01b0 sau:<\/p>\n

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  1. \n

    T\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u \u0111\u00e0o t\u1ea1o<\/strong>: C\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch \u0111\u01b0\u1ee3c t\u1ea1o b\u1eb1ng c\u00e1ch l\u00e0m x\u00e1o tr\u1ed9n d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng c\u00e1c k\u1ef9 thu\u1eadt nh\u01b0 Ph\u01b0\u01a1ng ph\u00e1p d\u1ea5u hi\u1ec7u \u0111\u1ed9 d\u1ed1c nhanh (FGSM) ho\u1eb7c \u0110\u1ed9 d\u1ed1c gi\u1ea3m d\u1ea7n d\u1ef1 ki\u1ebfn (PGD).<\/p>\n<\/li>\n

  2. \n

    \u0110\u00e0o t\u1ea1o ng\u01b0\u1eddi m\u1eabu<\/strong>: M\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c hu\u1ea5n luy\u1ec7n b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng d\u1eef li\u1ec7u t\u0103ng c\u01b0\u1eddng, bao g\u1ed3m c\u1ea3 v\u00ed d\u1ee5 g\u1ed1c v\u00e0 m\u1eabu \u0111\u1ed1i l\u1eadp.<\/p>\n<\/li>\n

  3. \n

    S\u1ef1 \u0111\u00e1nh gi\u00e1<\/strong>: Hi\u1ec7u su\u1ea5t c\u1ee7a m\u00f4 h\u00ecnh \u0111\u01b0\u1ee3c \u0111\u00e1nh gi\u00e1 tr\u00ean m\u1ed9t b\u1ed9 x\u00e1c th\u1ef1c ri\u00eang bi\u1ec7t \u0111\u1ec3 \u0111o l\u01b0\u1eddng \u0111\u1ed9 m\u1ea1nh m\u1ebd c\u1ee7a m\u00f4 h\u00ecnh tr\u01b0\u1edbc c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng \u0111\u1ed1i ngh\u1ecbch.<\/p>\n<\/li>\n

  4. \n

    T\u1ea1o v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch<\/strong>: C\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch m\u1edbi \u0111\u01b0\u1ee3c t\u1ea1o b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng m\u00f4 h\u00ecnh c\u1eadp nh\u1eadt v\u00e0 qu\u00e1 tr\u00ecnh n\u00e0y ti\u1ebfp t\u1ee5c l\u1eb7p l\u1ea1i nhi\u1ec1u l\u1ea7n.<\/p>\n<\/li>\n<\/ol>\n

    B\u1ea3n ch\u1ea5t l\u1eb7p \u0111i l\u1eb7p l\u1ea1i c\u1ee7a qu\u00e1 tr\u00ecnh hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch d\u1ea7n d\u1ea7n c\u1ee7ng c\u1ed1 kh\u1ea3 n\u0103ng ph\u00f2ng th\u1ee7 c\u1ee7a m\u00f4 h\u00ecnh tr\u01b0\u1edbc c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng \u0111\u1ed1i ngh\u1ecbch.<\/p>\n

    Ph\u00e2n t\u00edch c\u00e1c t\u00ednh n\u0103ng ch\u00ednh c\u1ee7a \u0111\u00e0o t\u1ea1o \u0111\u1ed1i th\u1ee7<\/h2>\n

    C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh c\u1ee7a \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch l\u00e0:<\/p>\n

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    1. \n

      T\u0103ng c\u01b0\u1eddng \u0111\u1ed9 b\u1ec1n<\/strong>: Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch c\u1ea3i thi\u1ec7n \u0111\u00e1ng k\u1ec3 \u0111\u1ed9 b\u1ec1n c\u1ee7a m\u00f4 h\u00ecnh tr\u01b0\u1edbc c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng \u0111\u1ed1i ngh\u1ecbch, gi\u1ea3m t\u00e1c \u0111\u1ed9ng c\u1ee7a c\u00e1c \u0111\u1ea7u v\u00e0o \u0111\u01b0\u1ee3c t\u1ea1o ra m\u1ed9t c\u00e1ch \u0111\u1ed9c h\u1ea1i.<\/p>\n<\/li>\n

    2. \n

      S\u1ef1 kh\u00e1i qu\u00e1t<\/strong>: B\u1eb1ng c\u00e1ch \u0111\u00e0o t\u1ea1o tr\u00ean s\u1ef1 k\u1ebft h\u1ee3p gi\u1eefa c\u00e1c v\u00ed d\u1ee5 r\u00f5 r\u00e0ng v\u00e0 \u0111\u1ed1i ngh\u1ecbch, m\u00f4 h\u00ecnh s\u1ebd kh\u00e1i qu\u00e1t h\u00f3a t\u1ed1t h\u01a1n v\u00e0 \u0111\u01b0\u1ee3c chu\u1ea9n b\u1ecb t\u1ed1t h\u01a1n \u0111\u1ec3 x\u1eed l\u00fd c\u00e1c bi\u1ebfn th\u1ec3 trong th\u1ebf gi\u1edbi th\u1ef1c.<\/p>\n<\/li>\n

    3. \n

      Ph\u00f2ng th\u1ee7 th\u00edch \u1ee9ng<\/strong>: Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch \u0111i\u1ec1u ch\u1ec9nh c\u00e1c tham s\u1ed1 c\u1ee7a m\u00f4 h\u00ecnh \u0111\u1ec3 \u0111\u00e1p \u1ee9ng v\u1edbi c\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch m\u1edbi, li\u00ean t\u1ee5c c\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng ch\u1ed1ng ch\u1ecbu c\u1ee7a m\u00f4 h\u00ecnh theo th\u1eddi gian.<\/p>\n<\/li>\n

    4. \n

      \u0110\u1ed9 ph\u1ee9c t\u1ea1p c\u1ee7a m\u00f4 h\u00ecnh<\/strong>: Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch th\u01b0\u1eddng \u0111\u00f2i h\u1ecfi nhi\u1ec1u t\u00e0i nguy\u00ean v\u00e0 th\u1eddi gian t\u00ednh to\u00e1n h\u01a1n do t\u00ednh ch\u1ea5t l\u1eb7p \u0111i l\u1eb7p l\u1ea1i c\u1ee7a quy tr\u00ecnh v\u00e0 nhu c\u1ea7u t\u1ea1o ra c\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch.<\/p>\n<\/li>\n

    5. \n

      \u0110\u00e1nh \u0111\u1ed5i<\/strong>: Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch li\u00ean quan \u0111\u1ebfn s\u1ef1 \u0111\u00e1nh \u0111\u1ed5i gi\u1eefa \u0111\u1ed9 m\u1ea1nh m\u1ebd v\u00e0 \u0111\u1ed9 ch\u00ednh x\u00e1c, v\u00ec vi\u1ec7c hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch qu\u00e1 m\u1ee9c c\u00f3 th\u1ec3 d\u1eabn \u0111\u1ebfn gi\u1ea3m hi\u1ec7u su\u1ea5t m\u00f4 h\u00ecnh t\u1ed5ng th\u1ec3 tr\u00ean d\u1eef li\u1ec7u s\u1ea1ch.<\/p>\n<\/li>\n<\/ol>\n

      C\u00e1c lo\u1ea1i h\u00ecnh \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch<\/h2>\n

      C\u00f3 m\u1ed9t s\u1ed1 bi\u1ebfn th\u1ec3 c\u1ee7a hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch, m\u1ed7i bi\u1ebfn th\u1ec3 \u0111\u1ec1u c\u00f3 nh\u1eefng \u0111\u1eb7c \u0111i\u1ec3m v\u00e0 l\u1ee3i th\u1ebf c\u1ee5 th\u1ec3. B\u1ea3ng sau \u0111\u00e2y t\u00f3m t\u1eaft m\u1ed9t s\u1ed1 lo\u1ea1i h\u00ecnh \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch ph\u1ed5 bi\u1ebfn:<\/p>\n\n\n\n\n\n\n\n\n
      Ki\u1ec3u<\/th>\nS\u1ef1 mi\u00eau t\u1ea3<\/th>\n<\/tr>\n<\/thead>\n
      Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i kh\u00e1ng c\u01a1 b\u1ea3n<\/td>\nLi\u00ean quan \u0111\u1ebfn vi\u1ec7c t\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u hu\u1ea5n luy\u1ec7n b\u1eb1ng c\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch \u0111\u01b0\u1ee3c t\u1ea1o b\u1eb1ng FGSM ho\u1eb7c PGD.<\/td>\n<\/tr>\n
      Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i th\u1ee7 \u1ea3o<\/td>\nS\u1eed d\u1ee5ng kh\u00e1i ni\u1ec7m nhi\u1ec5u lo\u1ea1n \u0111\u1ed1i ngh\u1ecbch \u1ea3o \u0111\u1ec3 n\u00e2ng cao \u0111\u1ed9 b\u1ec1n c\u1ee7a m\u00f4 h\u00ecnh.<\/td>\n<\/tr>\n
      GIAO D\u1ecaCH (Ph\u00f2ng th\u1ee7 \u0111\u1ed1i th\u1ee7 m\u1ea1nh m\u1ebd c\u00f3 c\u0103n c\u1ee9 v\u1ec1 m\u1eb7t l\u00fd thuy\u1ebft)<\/td>\nK\u1ebft h\u1ee3p m\u1ed9t thu\u1eadt ng\u1eef ch\u00ednh quy h\u00f3a \u0111\u1ec3 gi\u1ea3m thi\u1ec3u t\u1ed5n th\u1ea5t \u0111\u1ed1i ngh\u1ecbch trong tr\u01b0\u1eddng h\u1ee3p x\u1ea5u nh\u1ea5t trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o.<\/td>\n<\/tr>\n
      T\u1eadp luy\u1ec7n \u0111\u1ed1i th\u1ee7<\/td>\nHu\u1ea5n luy\u1ec7n nhi\u1ec1u m\u00f4 h\u00ecnh v\u1edbi c\u00e1c l\u1ea7n kh\u1edfi t\u1ea1o kh\u00e1c nhau v\u00e0 k\u1ebft h\u1ee3p c\u00e1c d\u1ef1 \u0111o\u00e1n c\u1ee7a ch\u00fang \u0111\u1ec3 c\u1ea3i thi\u1ec7n \u0111\u1ed9 tin c\u1eady.<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      C\u00e1ch s\u1eed d\u1ee5ng Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch, c\u00e1c v\u1ea5n \u0111\u1ec1 v\u00e0 gi\u1ea3i ph\u00e1p li\u00ean quan \u0111\u1ebfn vi\u1ec7c s\u1eed d\u1ee5ng<\/h2>\n

      \u0110\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng theo nhi\u1ec1u c\u00e1ch kh\u00e1c nhau \u0111\u1ec3 t\u0103ng c\u01b0\u1eddng t\u00ednh b\u1ea3o m\u1eadt c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y:<\/p>\n

        \n
      1. \n

        Ph\u00e2n lo\u1ea1i h\u00ecnh \u1ea3nh<\/strong>: Hu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c \u00e1p d\u1ee5ng \u0111\u1ec3 c\u1ea3i thi\u1ec7n \u0111\u1ed9 tin c\u1eady c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh ph\u00e2n lo\u1ea1i h\u00ecnh \u1ea3nh ch\u1ed1ng l\u1ea1i nhi\u1ec5u lo\u1ea1n trong h\u00ecnh \u1ea3nh \u0111\u1ea7u v\u00e0o.<\/p>\n<\/li>\n

      2. \n

        X\u1eed l\u00fd ng\u00f4n ng\u1eef t\u1ef1 nhi\u00ean<\/strong>: Trong c\u00e1c nhi\u1ec7m v\u1ee5 NLP, \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch c\u00f3 th\u1ec3 \u0111\u01b0\u1ee3c s\u1eed d\u1ee5ng \u0111\u1ec3 l\u00e0m cho c\u00e1c m\u00f4 h\u00ecnh c\u00f3 kh\u1ea3 n\u0103ng ch\u1ed1ng l\u1ea1i c\u00e1c thao t\u00e1c v\u0103n b\u1ea3n \u0111\u1ed1i ngh\u1ecbch t\u1ed1t h\u01a1n.<\/p>\n<\/li>\n<\/ol>\n

        Tuy nhi\u00ean, c\u00f3 nh\u1eefng th\u00e1ch th\u1ee9c li\u00ean quan \u0111\u1ebfn \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch:<\/p>\n

          \n
        1. \n

          L\u1eddi nguy\u1ec1n c\u1ee7a chi\u1ec1u<\/strong>: C\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch ph\u1ed5 bi\u1ebfn h\u01a1n trong kh\u00f4ng gian \u0111\u1eb7c tr\u01b0ng nhi\u1ec1u chi\u1ec1u, khi\u1ebfn vi\u1ec7c ph\u00f2ng th\u1ee7 tr\u1edf n\u00ean kh\u00f3 kh\u0103n h\u01a1n.<\/p>\n<\/li>\n

        2. \n

          Kh\u1ea3 n\u0103ng chuy\u1ec3n nh\u01b0\u1ee3ng<\/strong>: C\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch \u0111\u01b0\u1ee3c thi\u1ebft k\u1ebf cho m\u1ed9t m\u00f4 h\u00ecnh th\u01b0\u1eddng c\u00f3 th\u1ec3 chuy\u1ec3n sang c\u00e1c m\u00f4 h\u00ecnh kh\u00e1c, g\u00e2y r\u1ee7i ro cho to\u00e0n b\u1ed9 l\u1edbp m\u00f4 h\u00ecnh.<\/p>\n<\/li>\n<\/ol>\n

          Gi\u1ea3i ph\u00e1p cho nh\u1eefng th\u00e1ch th\u1ee9c n\u00e0y li\u00ean quan \u0111\u1ebfn vi\u1ec7c ph\u00e1t tri\u1ec3n c\u00e1c c\u01a1 ch\u1ebf ph\u00f2ng th\u1ee7 ph\u1ee9c t\u1ea1p h\u01a1n, ch\u1eb3ng h\u1ea1n nh\u01b0 k\u1ebft h\u1ee3p c\u00e1c k\u1ef9 thu\u1eadt ch\u00ednh quy h\u00f3a, ph\u01b0\u01a1ng ph\u00e1p t\u1ed5ng h\u1ee3p ho\u1eb7c s\u1eed d\u1ee5ng c\u00e1c m\u00f4 h\u00ecnh t\u1ed5ng h\u1ee3p \u0111\u1ec3 t\u1ea1o ra v\u00ed d\u1ee5 \u0111\u1ed1i l\u1eadp.<\/p>\n

          C\u00e1c \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh kh\u00e1c v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1<\/h2>\n

          D\u01b0\u1edbi \u0111\u00e2y l\u00e0 m\u1ed9t s\u1ed1 \u0111\u1eb7c \u0111i\u1ec3m ch\u00ednh v\u00e0 so s\u00e1nh v\u1edbi c\u00e1c thu\u1eadt ng\u1eef t\u01b0\u01a1ng t\u1ef1 li\u00ean quan \u0111\u1ebfn \u0111\u00e0o t\u1ea1o \u0111\u1ed1i kh\u00e1ng:<\/p>\n\n\n\n\n\n\n\n\n\n
          \u0111\u1eb7c tr\u01b0ng<\/th>\nHu\u1ea5n luy\u1ec7n \u0111\u1ed1i ngh\u1ecbch<\/th>\nT\u1ea5n c\u00f4ng \u0111\u1ed1i ngh\u1ecbch<\/th>\nChuy\u1ec3n ti\u1ebfp h\u1ecdc t\u1eadp<\/th>\n<\/tr>\n<\/thead>\n
          Kh\u00e1ch quan<\/td>\nT\u0103ng c\u01b0\u1eddng \u0111\u1ed9 b\u1ec1n c\u1ee7a m\u00f4 h\u00ecnh<\/td>\nC\u1ed1 \u00fd ph\u00e2n lo\u1ea1i sai c\u00e1c m\u00f4 h\u00ecnh<\/td>\nC\u1ea3i thi\u1ec7n vi\u1ec7c h\u1ecdc t\u1eadp trong c\u00e1c l\u0129nh v\u1ef1c m\u1ee5c ti\u00eau b\u1eb1ng c\u00e1ch s\u1eed d\u1ee5ng ki\u1ebfn th\u1ee9c t\u1eeb c\u00e1c l\u0129nh v\u1ef1c li\u00ean quan<\/td>\n<\/tr>\n
          T\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u<\/td>\nBao g\u1ed3m c\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch trong d\u1eef li\u1ec7u \u0111\u00e0o t\u1ea1o<\/td>\nKh\u00f4ng li\u00ean quan \u0111\u1ebfn vi\u1ec7c t\u0103ng c\u01b0\u1eddng d\u1eef li\u1ec7u<\/td>\nC\u00f3 th\u1ec3 li\u00ean quan \u0111\u1ebfn vi\u1ec7c truy\u1ec1n d\u1eef li\u1ec7u<\/td>\n<\/tr>\n
          M\u1ee5c \u0111\u00edch<\/td>\nT\u0103ng c\u01b0\u1eddng b\u1ea3o m\u1eadt m\u00f4 h\u00ecnh<\/td>\nKhai th\u00e1c l\u1ed7 h\u1ed5ng m\u00f4 h\u00ecnh<\/td>\nC\u1ea3i thi\u1ec7n hi\u1ec7u su\u1ea5t m\u00f4 h\u00ecnh trong c\u00e1c nhi\u1ec7m v\u1ee5 m\u1ee5c ti\u00eau<\/td>\n<\/tr>\n
          Th\u1ef1c hi\u1ec7n<\/td>\nTh\u1ef1c hi\u1ec7n trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o m\u00f4 h\u00ecnh<\/td>\n\u00c1p d\u1ee5ng sau khi tri\u1ec3n khai m\u00f4 h\u00ecnh<\/td>\nTh\u1ef1c hi\u1ec7n tr\u01b0\u1edbc ho\u1eb7c sau khi \u0111\u00e0o t\u1ea1o m\u00f4 h\u00ecnh<\/td>\n<\/tr>\n
          S\u1ef1 va ch\u1ea1m<\/td>\nT\u0103ng c\u01b0\u1eddng ph\u00f2ng th\u1ee7 m\u00f4 h\u00ecnh ch\u1ed1ng l\u1ea1i c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng<\/td>\nL\u00e0m suy gi\u1ea3m hi\u1ec7u su\u1ea5t m\u00f4 h\u00ecnh<\/td>\nT\u1ea1o \u0111i\u1ec1u ki\u1ec7n chuy\u1ec3n giao ki\u1ebfn th\u1ee9c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          Quan \u0111i\u1ec3m v\u00e0 c\u00f4ng ngh\u1ec7 c\u1ee7a t\u01b0\u01a1ng lai li\u00ean quan \u0111\u1ebfn \u0111\u00e0o t\u1ea1o \u0111\u1ed1i th\u1ee7<\/h2>\n

          T\u01b0\u01a1ng lai c\u1ee7a \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch n\u1eafm gi\u1eef nh\u1eefng ti\u1ebfn b\u1ed9 \u0111\u1ea7y h\u1ee9a h\u1eb9n v\u1ec1 t\u00ednh b\u1ea3o m\u1eadt v\u00e0 t\u00ednh m\u1ea1nh m\u1ebd c\u1ee7a c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y. M\u1ed9t s\u1ed1 ph\u00e1t tri\u1ec3n ti\u1ec1m n\u0103ng bao g\u1ed3m:<\/p>\n

            \n
          1. \n

            C\u01a1 ch\u1ebf ph\u00f2ng th\u1ee7 th\u00edch \u1ee9ng<\/strong>: C\u01a1 ch\u1ebf ph\u00f2ng th\u1ee7 ti\u00ean ti\u1ebfn c\u00f3 th\u1ec3 th\u00edch \u1ee9ng v\u1edbi c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng \u0111\u1ed1i ngh\u1ecbch \u0111ang ph\u00e1t tri\u1ec3n trong th\u1eddi gian th\u1ef1c, \u0111\u1ea3m b\u1ea3o kh\u1ea3 n\u0103ng b\u1ea3o v\u1ec7 li\u00ean t\u1ee5c.<\/p>\n<\/li>\n

          2. \n

            H\u1ecdc chuy\u1ec3n ti\u1ebfp m\u1ea1nh m\u1ebd<\/strong>: K\u1ef9 thu\u1eadt chuy\u1ec3n giao ki\u1ebfn th\u1ee9c v\u1eefng ch\u1eafc v\u1ec1 \u0111\u1ed1i th\u1ee7 gi\u1eefa c\u00e1c nhi\u1ec7m v\u1ee5 v\u00e0 l\u0129nh v\u1ef1c li\u00ean quan, c\u1ea3i thi\u1ec7n kh\u1ea3 n\u0103ng kh\u00e1i qu\u00e1t h\u00f3a m\u00f4 h\u00ecnh.<\/p>\n<\/li>\n

          3. \n

            H\u1ee3p t\u00e1c li\u00ean ng\u00e0nh<\/strong>: S\u1ef1 h\u1ee3p t\u00e1c gi\u1eefa c\u00e1c nh\u00e0 nghi\u00ean c\u1ee9u t\u1eeb l\u0129nh v\u1ef1c h\u1ecdc m\u00e1y, an ninh m\u1ea1ng v\u00e0 t\u1ea5n c\u00f4ng \u0111\u1ed1i ngh\u1ecbch, d\u1eabn \u0111\u1ebfn c\u00e1c chi\u1ebfn l\u01b0\u1ee3c ph\u00f2ng th\u1ee7 \u0111\u1ed5i m\u1edbi.<\/p>\n<\/li>\n<\/ol>\n

            C\u00e1ch s\u1eed d\u1ee5ng ho\u1eb7c li\u00ean k\u1ebft m\u00e1y ch\u1ee7 proxy v\u1edbi qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o \u0110\u1ed1i th\u1ee7<\/h2>\n

            M\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 \u0111\u00f3ng m\u1ed9t vai tr\u00f2 quan tr\u1ecdng trong qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o \u0111\u1ed1i th\u1ee7 b\u1eb1ng c\u00e1ch cung c\u1ea5p m\u1ed9t l\u1edbp \u1ea9n danh v\u00e0 b\u1ea3o m\u1eadt gi\u1eefa m\u00f4 h\u00ecnh v\u00e0 c\u00e1c ngu\u1ed3n d\u1eef li\u1ec7u b\u00ean ngo\u00e0i. Khi t\u00ecm n\u1ea1p c\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch t\u1eeb c\u00e1c trang web ho\u1eb7c API b\u00ean ngo\u00e0i, vi\u1ec7c s\u1eed d\u1ee5ng m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 ng\u0103n m\u00f4 h\u00ecnh ti\u1ebft l\u1ed9 th\u00f4ng tin nh\u1ea1y c\u1ea3m ho\u1eb7c r\u00f2 r\u1ec9 c\u00e1c l\u1ed7 h\u1ed5ng c\u1ee7a ch\u00ednh n\u00f3.<\/p>\n

            Ngo\u00e0i ra, trong tr\u01b0\u1eddng h\u1ee3p k\u1ebb t\u1ea5n c\u00f4ng c\u1ed1 g\u1eafng thao t\u00fang m\u00f4 h\u00ecnh b\u1eb1ng c\u00e1ch li\u00ean t\u1ee5c truy v\u1ea5n m\u00f4 h\u00ecnh \u0111\u00f3 b\u1eb1ng \u0111\u1ea7u v\u00e0o \u0111\u1ed1i ngh\u1ecbch, m\u00e1y ch\u1ee7 proxy c\u00f3 th\u1ec3 ph\u00e1t hi\u1ec7n v\u00e0 ch\u1eb7n c\u00e1c ho\u1ea1t \u0111\u1ed9ng \u0111\u00e1ng ng\u1edd, \u0111\u1ea3m b\u1ea3o t\u00ednh to\u00e0n v\u1eb9n c\u1ee7a qu\u00e1 tr\u00ecnh \u0111\u00e0o t\u1ea1o \u0111\u1ed1i th\u1ee7.<\/p>\n

            Li\u00ean k\u1ebft li\u00ean quan<\/h2>\n

            \u0110\u1ec3 bi\u1ebft th\u00eam th\u00f4ng tin v\u1ec1 \u0111\u00e0o t\u1ea1o \u0110\u1ed1i th\u1ee7, h\u00e3y c\u00e2n nh\u1eafc kh\u00e1m ph\u00e1 c\u00e1c t\u00e0i nguy\u00ean sau:<\/p>\n

              \n
            1. \n

              \u201cGi\u1ea3i th\u00edch v\u00e0 khai th\u00e1c c\u00e1c v\u00ed d\u1ee5 \u0111\u1ed1i ngh\u1ecbch\u201d - I. Goodfellow et al. (2014)
              \nli\u00ean k\u1ebft<\/a><\/p>\n<\/li>\n

            2. \n

              \u201cC\u00e1c ph\u01b0\u01a1ng ph\u00e1p \u0111\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch \u0111\u1ec3 ph\u00e2n lo\u1ea1i v\u0103n b\u1ea3n b\u00e1n gi\u00e1m s\u00e1t\u201d - T. Miyato v\u00e0 c\u1ed9ng s\u1ef1. (2016)
              \n              li\u00ean k\u1ebft<\/a><\/p>\n<\/li>\n

            3. \n

              \u201cH\u01b0\u1edbng t\u1edbi c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc s\u00e2u c\u00f3 kh\u1ea3 n\u0103ng ch\u1ed1ng l\u1ea1i c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng b\u1ea5t l\u1ee3i\u201d - A. Madry et al. (2017)
              \n              li\u00ean k\u1ebft<\/a><\/p>\n<\/li>\n

            4. \n

              \u201cC\u00e1c \u0111\u1eb7c t\u00ednh h\u1ea5p d\u1eabn c\u1ee7a m\u1ea1ng l\u01b0\u1edbi th\u1ea7n kinh\u201d - C. Szegedy v\u00e0 c\u1ed9ng s\u1ef1. (2014)
              \n              li\u00ean k\u1ebft<\/a><\/p>\n<\/li>\n

            5. \n

              \u201cH\u1ecdc m\u00e1y \u0111\u1ed1i ngh\u1ecbch \u1edf quy m\u00f4 l\u1edbn\u201d - A. Shafahi v\u00e0 c\u1ed9ng s\u1ef1. (2018)
              \n              li\u00ean k\u1ebft<\/a><\/p>\n<\/li>\n<\/ol>\n

              \u0110\u00e0o t\u1ea1o \u0111\u1ed1i ngh\u1ecbch ti\u1ebfp t\u1ee5c l\u00e0 m\u1ed9t l\u0129nh v\u1ef1c nghi\u00ean c\u1ee9u v\u00e0 ph\u00e1t tri\u1ec3n quan tr\u1ecdng, g\u00f3p ph\u1ea7n ph\u00e1t tri\u1ec3n l\u0129nh v\u1ef1c \u1ee9ng d\u1ee5ng h\u1ecdc m\u00e1y an to\u00e0n v\u00e0 m\u1ea1nh m\u1ebd. N\u00f3 cho ph\u00e9p c\u00e1c m\u00f4 h\u00ecnh h\u1ecdc m\u00e1y ch\u1ed1ng l\u1ea1i c\u00e1c cu\u1ed9c t\u1ea5n c\u00f4ng b\u1ea5t l\u1ee3i, cu\u1ed1i c\u00f9ng l\u00e0 th\u00fac \u0111\u1ea9y m\u1ed9t h\u1ec7 sinh th\u00e1i do AI \u0111i\u1ec1u khi\u1ec3n an to\u00e0n h\u01a1n v\u00e0 \u0111\u00e1ng tin c\u1eady h\u01a1n.<\/p>","protected":false},"featured_media":467502,"menu_order":0,"template":"","meta":{"_acf_changed":false,"content-type":"","inline_featured_image":false,"footnotes":""},"class_list":["post-475823","wiki","type-wiki","status-publish","has-post-thumbnail","hentry"],"acf":{"faq_title":"Frequently Asked Questions about Adversarial Training: Enhancing Security and Robustness in Machine Learning<\/mark>","faq_items":[{"question":"What is adversarial training?","answer":"

              Adversarial training is a technique used to enhance the security and robustness of machine learning models against adversarial attacks. It involves augmenting the training data with adversarial examples, crafted by applying subtle perturbations to the original data, to train the model to be more resilient.<\/p>"},{"question":"How did adversarial training originate?","answer":"

              The concept of adversarial training was introduced in 2014 by Ian Goodfellow and colleagues. Their paper titled \"Explaining and Harnessing Adversarial Examples\" demonstrated the vulnerability of neural networks to adversarial attacks and proposed this method as a defense strategy.<\/p>"},{"question":"How does adversarial training work?","answer":"

              Adversarial training follows an iterative process. First, it augments the training data with adversarial examples. Then, the model is trained on the combined data of original and adversarial examples. The process is repeated until the model exhibits satisfactory robustness against attacks.<\/p>"},{"question":"What are the key features of adversarial training?","answer":"

              The key features include improved robustness and generalization, adaptive defense against novel adversarial examples, and a trade-off between robustness and accuracy. It helps models better handle real-world variations.<\/p>"},{"question":"What types of adversarial training exist?","answer":"

              There are several types, including basic adversarial training using FGSM or PGD, virtual adversarial training, TRADES with theoretical grounding, and ensemble adversarial training.<\/p>"},{"question":"How can adversarial training be used?","answer":"

              Adversarial training can be applied to image classification and natural language processing tasks to improve model security and resist adversarial manipulations.<\/p>"},{"question":"What challenges are associated with adversarial training?","answer":"

              Challenges include the curse of dimensionality in high-dimensional feature spaces and the transferability of adversarial examples between models.<\/p>"},{"question":"What are the future perspectives of adversarial training?","answer":"

              The future holds advancements in adaptive defense mechanisms, robust transfer learning, and interdisciplinary collaborations to strengthen adversarial training.<\/p>"},{"question":"How do proxy servers relate to adversarial training?","answer":"

              Proxy servers can aid adversarial training by providing security and anonymity while fetching adversarial examples from external sources, ensuring model integrity. They can also detect and block suspicious activities during the training process.<\/p>"}]},"_links":{"self":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/475823","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/wiki\/475823\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media\/467502"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/vn\/wp-json\/wp\/v2\/media?parent=475823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}