{"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\/ar\/wiki\/adversarial-training\/","title":{"rendered":"\u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0639\u0644\u0649 \u0627\u0644\u0645\u0648\u0627\u062c\u0647\u0629"},"content":{"rendered":"<p>\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u062e\u0635\u0648\u0645\u0629 \u0647\u0648 \u0623\u0633\u0644\u0648\u0628 \u064a\u0633\u062a\u062e\u062f\u0645 \u0644\u062a\u062d\u0633\u064a\u0646 \u0623\u0645\u0627\u0646 \u0648\u0642\u0648\u0629 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0636\u062f \u0627\u0644\u0647\u062c\u0645\u0627\u062a \u0627\u0644\u0639\u062f\u0627\u0626\u064a\u0629. \u064a\u0634\u064a\u0631 \u0627\u0644\u0647\u062c\u0648\u0645 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\u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u064a\u0645\u0643\u0646 \u0623\u0646 \u064a\u0645\u0646\u0639 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u0646 \u0627\u0644\u0643\u0634\u0641 \u0639\u0646 \u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0633\u0627\u0633\u0629 \u0623\u0648 \u062a\u0633\u0631\u064a\u0628 \u0646\u0642\u0627\u0637 \u0627\u0644\u0636\u0639\u0641 \u0627\u0644\u062e\u0627\u0635\u0629 \u0628\u0647.<\/p>\n<p>\u0628\u0627\u0644\u0625\u0636\u0627\u0641\u0629 \u0625\u0644\u0649 \u0630\u0644\u0643\u060c \u0641\u064a \u0627\u0644\u0633\u064a\u0646\u0627\u0631\u064a\u0648\u0647\u0627\u062a \u0627\u0644\u062a\u064a \u064a\u062d\u0627\u0648\u0644 \u0641\u064a\u0647\u0627 \u0627\u0644\u0645\u0647\u0627\u062c\u0645 \u0627\u0644\u062a\u0639\u0627\u0645\u0644 \u0645\u0639 \u0627\u0644\u0646\u0645\u0648\u0630\u062c \u0645\u0646 \u062e\u0644\u0627\u0644 \u0627\u0644\u0627\u0633\u062a\u0639\u0644\u0627\u0645 \u0627\u0644\u0645\u062a\u0643\u0631\u0631 \u0639\u0646\u0647 \u0628\u0627\u0633\u062a\u062e\u062f\u0627\u0645 \u0645\u062f\u062e\u0644\u0627\u062a \u0639\u062f\u0627\u0626\u064a\u0629\u060c \u064a\u0645\u0643\u0646 \u0644\u0644\u062e\u0648\u0627\u062f\u0645 \u0627\u0644\u0648\u0643\u064a\u0644\u0629 \u0627\u0643\u062a\u0634\u0627\u0641 \u0627\u0644\u0623\u0646\u0634\u0637\u0629 \u0627\u0644\u0645\u0634\u0628\u0648\u0647\u0629 \u0648\u062d\u0638\u0631\u0647\u0627\u060c \u0645\u0645\u0627 \u064a\u0636\u0645\u0646 \u0633\u0644\u0627\u0645\u0629 \u0639\u0645\u0644\u064a\u0629 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u062e\u0635\u0648\u0645\u064a\u0629.<\/p>\n<h2>\u0631\u0648\u0627\u0628\u0637 \u0630\u0627\u062a \u0639\u0644\u0627\u0642\u0629<\/h2>\n<p>\u0644\u0645\u0632\u064a\u062f \u0645\u0646 \u0627\u0644\u0645\u0639\u0644\u0648\u0645\u0627\u062a \u062d\u0648\u0644 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u062a\u0646\u0627\u0641\u0633\u064a\u060c \u0641\u0643\u0631 \u0641\u064a \u0627\u0633\u062a\u0643\u0634\u0627\u0641 \u0627\u0644\u0645\u0648\u0627\u0631\u062f \u0627\u0644\u062a\u0627\u0644\u064a\u0629:<\/p>\n<ol>\n<li>\n<p>&quot;\u0634\u0631\u062d \u0627\u0644\u0623\u0645\u062b\u0644\u0629 \u0627\u0644\u062e\u0635\u0648\u0645\u064a\u0629 \u0648\u0627\u0644\u0627\u0633\u062a\u0641\u0627\u062f\u0629 \u0645\u0646\u0647\u0627&quot; - \u0622\u064a \u062c\u0648\u062f\u0641\u064a\u0644\u0648 \u0648\u0622\u062e\u0631\u0648\u0646. (2014)<br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/1412.6572\" target=\"_new\" rel=\"noopener nofollow\">\u0648\u0635\u0644\u0629<\/a><\/p>\n<\/li>\n<li>\n<p>&quot;\u0623\u0633\u0627\u0644\u064a\u0628 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u0639\u062f\u0627\u0626\u064a \u0644\u062a\u0635\u0646\u064a\u0641 \u0627\u0644\u0646\u0635 \u0634\u0628\u0647 \u0627\u0644\u062e\u0627\u0636\u0639 \u0644\u0644\u0625\u0634\u0631\u0627\u0641&quot; - \u062a. \u0645\u064a\u0627\u062a\u0648 \u0648\u0622\u062e\u0631\u0648\u0646. (2016)<br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/1605.07725\" target=\"_new\" rel=\"noopener nofollow\">\u0648\u0635\u0644\u0629<\/a><\/p>\n<\/li>\n<li>\n<p>&quot;\u0646\u062d\u0648 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0639\u0645\u064a\u0642 \u0627\u0644\u0645\u0642\u0627\u0648\u0645\u0629 \u0644\u0644\u0647\u062c\u0645\u0627\u062a \u0627\u0644\u0639\u062f\u0627\u0626\u064a\u0629&quot; - \u0623. \u0645\u0627\u062f\u0631\u064a \u0648\u0622\u062e\u0631\u0648\u0646. (2017)<br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/1706.06083\" target=\"_new\" rel=\"noopener nofollow\">\u0648\u0635\u0644\u0629<\/a><\/p>\n<\/li>\n<li>\n<p>&quot;\u0627\u0644\u062e\u0635\u0627\u0626\u0635 \u0627\u0644\u0645\u062b\u064a\u0631\u0629 \u0644\u0644\u0627\u0647\u062a\u0645\u0627\u0645 \u0644\u0644\u0634\u0628\u0643\u0627\u062a \u0627\u0644\u0639\u0635\u0628\u064a\u0629&quot; - \u0633\u064a. \u0632\u064a\u062c\u064a\u062f\u064a \u0648\u0622\u062e\u0631\u0648\u0646. (2014)<br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/1312.6199\" target=\"_new\" rel=\"noopener nofollow\">\u0648\u0635\u0644\u0629<\/a><\/p>\n<\/li>\n<li>\n<p>&quot;\u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0627\u0644\u062a\u0646\u0627\u0641\u0633\u064a \u0639\u0644\u0649 \u0646\u0637\u0627\u0642 \u0648\u0627\u0633\u0639&quot; - \u0623. \u0634\u0641\u0627\u0647\u064a \u0648\u0622\u062e\u0631\u0648\u0646. (2018)<br \/>\n<a href=\"https:\/\/arxiv.org\/abs\/1611.01236\" target=\"_new\" rel=\"noopener nofollow\">\u0648\u0635\u0644\u0629<\/a><\/p>\n<\/li>\n<\/ol>\n<p>\u0644\u0627 \u064a\u0632\u0627\u0644 \u0627\u0644\u062a\u062f\u0631\u064a\u0628 \u0627\u0644\u062a\u0646\u0627\u0641\u0633\u064a \u0645\u062c\u0627\u0644\u064b\u0627 \u062d\u0627\u0633\u0645\u064b\u0627 \u0644\u0644\u0628\u062d\u062b \u0648\u0627\u0644\u062a\u0637\u0648\u064a\u0631\u060c \u0645\u0645\u0627 \u064a\u0633\u0627\u0647\u0645 \u0641\u064a \u0627\u0644\u0645\u062c\u0627\u0644 \u0627\u0644\u0645\u062a\u0646\u0627\u0645\u064a \u0644\u062a\u0637\u0628\u064a\u0642\u0627\u062a \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0627\u0644\u0622\u0645\u0646\u0629 \u0648\u0627\u0644\u0642\u0648\u064a\u0629. \u0641\u0647\u0648 \u064a\u0645\u0643\u0651\u0646 \u0646\u0645\u0627\u0630\u062c \u0627\u0644\u062a\u0639\u0644\u0645 \u0627\u0644\u0622\u0644\u064a \u0645\u0646 \u0627\u0644\u062f\u0641\u0627\u0639 \u0636\u062f \u0627\u0644\u0647\u062c\u0645\u0627\u062a \u0627\u0644\u0639\u062f\u0627\u0626\u064a\u0629\u060c \u0645\u0645\u0627 \u064a\u0624\u062f\u064a \u0641\u064a \u0627\u0644\u0646\u0647\u0627\u064a\u0629 \u0625\u0644\u0649 \u062a\u0639\u0632\u064a\u0632 \u0646\u0638\u0627\u0645 \u0628\u064a\u0626\u064a \u0623\u0643\u062b\u0631 \u0623\u0645\u0627\u0646\u064b\u0627 \u0648\u0645\u0648\u062b\u0648\u0642\u064a\u0629 \u064a\u0639\u062a\u0645\u062f \u0639\u0644\u0649 \u0627\u0644\u0630\u0643\u0627\u0621 \u0627\u0644\u0627\u0635\u0637\u0646\u0627\u0639\u064a.<\/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 <mark>Adversarial Training: Enhancing Security and Robustness in Machine Learning<\/mark>","faq_items":[{"question":"What is adversarial training?","answer":"<p>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":"<p>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":"<p>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":"<p>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":"<p>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":"<p>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":"<p>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":"<p>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":"<p>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\/ar\/wp-json\/wp\/v2\/wiki\/475823","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki"}],"about":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/types\/wiki"}],"version-history":[{"count":0,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/wiki\/475823\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media\/467502"}],"wp:attachment":[{"href":"https:\/\/oneproxy.pro\/ar\/wp-json\/wp\/v2\/media?parent=475823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}