{"id":145,"date":"2024-03-01T15:47:58","date_gmt":"2024-03-01T15:47:58","guid":{"rendered":"https:\/\/wp.lancs.ac.uk\/colab\/?p=145"},"modified":"2025-02-27T15:50:29","modified_gmt":"2025-02-27T15:50:29","slug":"enhancing-robustness-in-video-recognition-models-sparse-adversarial-attacks-and-beyond","status":"publish","type":"post","link":"https:\/\/wp.lancs.ac.uk\/colab\/2024\/03\/01\/enhancing-robustness-in-video-recognition-models-sparse-adversarial-attacks-and-beyond\/","title":{"rendered":"Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond"},"content":{"rendered":"<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/wp.lancs.ac.uk\/colab\/files\/2025\/02\/sparseAttack-1024x307.jpg\" alt=\"\" width=\"676\" height=\"203\" class=\"aligncenter size-large wp-image-146\" srcset=\"https:\/\/wp.lancs.ac.uk\/colab\/files\/2025\/02\/sparseAttack-1024x307.jpg 1024w, https:\/\/wp.lancs.ac.uk\/colab\/files\/2025\/02\/sparseAttack-300x90.jpg 300w, https:\/\/wp.lancs.ac.uk\/colab\/files\/2025\/02\/sparseAttack-768x230.jpg 768w, https:\/\/wp.lancs.ac.uk\/colab\/files\/2025\/02\/sparseAttack-1536x460.jpg 1536w, https:\/\/wp.lancs.ac.uk\/colab\/files\/2025\/02\/sparseAttack-2048x613.jpg 2048w, https:\/\/wp.lancs.ac.uk\/colab\/files\/2025\/02\/sparseAttack-676x202.jpg 676w\" sizes=\"auto, (max-width: 676px) 100vw, 676px\" \/><br \/>\nWe published in the journal Neural Networks an extended version of our previous conference paper &#8220;Sparse Adversarial Video Attacks with Spatial Transformations&#8221;. In this journal extension, titled &#8220;Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond&#8221;, we explored how our attack technique can increase the robustness of video classification models, through an adversarial training process. The paper can be found <a href=\"https:\/\/www.research.lancs.ac.uk\/portal\/services\/downloadRegister\/402720734\/NN_J_submission.pdf\">here<\/a>. As usual, our source code is also available on <a href=\"https:\/\/github.com\/TrustAI\/DeepSAVA\">Github<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We published in the journal Neural Networks an extended version of our previous conference paper &#8220;Sparse Adversarial Video Attacks with Spatial Transformations&#8221;. In this journal extension, titled &#8220;Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond&#8221;, we explored how our attack technique can increase the robustness of video classification models, through an adversarial [&hellip;]<\/p>\n","protected":false},"author":1432,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-145","post","type-post","status-publish","format-standard","hentry","category-news"],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/posts\/145","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/users\/1432"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/comments?post=145"}],"version-history":[{"count":2,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/posts\/145\/revisions"}],"predecessor-version":[{"id":148,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/posts\/145\/revisions\/148"}],"wp:attachment":[{"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/media?parent=145"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/categories?post=145"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/wp.lancs.ac.uk\/colab\/wp-json\/wp\/v2\/tags?post=145"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}