<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Futa Waseda</title><link>https://futa-waseda.netlify.app/ja/</link><atom:link href="https://futa-waseda.netlify.app/ja/index.xml" rel="self" type="application/rss+xml"/><description>Futa Waseda</description><generator>Wowchemy (https://wowchemy.com)</generator><language>ja-jp</language><lastBuildDate>Mon, 05 Oct 2026 00:00:00 +0000</lastBuildDate><image><url>https://futa-waseda.netlify.app/media/profile.JPG</url><title>Futa Waseda</title><link>https://futa-waseda.netlify.app/ja/</link></image><item><title>Semantic Color Naturalness Breaker: Preventing Illegitimate Colorization via Content-Aware Color Priors</title><link>https://futa-waseda.netlify.app/ja/publication/17_smc2026_scnb/</link><pubDate>Mon, 05 Oct 2026 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/17_smc2026_scnb/</guid><description>&lt;div class="yt-embed"&gt;&lt;iframe src="https://www.youtube.com/embed/KKFiYxHJ6kE" title="SMC 2026 presentation video" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen&gt;&lt;/iframe&gt;&lt;/div&gt;</description></item><item><title>Does Adversarial Training Improve Generalization in Multi-View VLAs? Revealing and Mitigating View Collapse</title><link>https://futa-waseda.netlify.app/ja/publication/15_viewcollapse/</link><pubDate>Sun, 27 Sep 2026 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/15_viewcollapse/</guid><description/></item><item><title>AngelFingerprint: A Traceable, Explainable, and White-Box Stealthy Watermark for Text-Guided Image Editing</title><link>https://futa-waseda.netlify.app/ja/publication/16_angelfingerprint/</link><pubDate>Fri, 04 Sep 2026 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/16_angelfingerprint/</guid><description/></item><item><title>Read or Ignore? A Unified Benchmark for Typographic-Attack Robustness and Text Recognition in Vision-Language Models</title><link>https://futa-waseda.netlify.app/ja/publication/10_rio/</link><pubDate>Tue, 01 Sep 2026 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/10_rio/</guid><description>&lt;p&gt;&lt;strong&gt;TL;DR:&lt;/strong&gt; VLMs must sometimes read text in images and sometimes ignore it — but no model does both well. We propose RIO-Bench, the first benchmark unifying typographic-attack robustness and text recognition evaluation. We further introduce a data-driven defense that adaptively selects when to use in-image text, outperforming prior non-adaptive approaches.&lt;/p&gt;
&lt;div class="yt-embed"&gt;&lt;iframe src="https://www.youtube.com/embed/W5CxnKPkTz0" title="ECCV 2026 presentation video" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen&gt;&lt;/iframe&gt;&lt;/div&gt;</description></item><item><title>Rethinking Brain Decoding with CLIP: The Role of Adversarial Robustness</title><link>https://futa-waseda.netlify.app/ja/publication/14_braindecoding/</link><pubDate>Fri, 03 Jul 2026 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/14_braindecoding/</guid><description/></item><item><title>Text-Printed Image: Bridging the Image-Text Modality Gap for Text-centric Training of Large Vision-Language Models</title><link>https://futa-waseda.netlify.app/ja/publication/11_cvpr2026_tpi/</link><pubDate>Mon, 01 Jun 2026 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/11_cvpr2026_tpi/</guid><description/></item><item><title>Understanding Sensitivity of Differential Attention through the Lens of Adversarial Robustness</title><link>https://futa-waseda.netlify.app/ja/publication/12_iclr2026_diffattn/</link><pubDate>Fri, 01 May 2026 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/12_iclr2026_diffattn/</guid><description/></item><item><title>Multimodal Adversarial Defense for Vision-Language Models by Leveraging One-To-Many Relationships</title><link>https://futa-waseda.netlify.app/ja/publication/9_wacv2026/</link><pubDate>Fri, 06 Mar 2026 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/9_wacv2026/</guid><description>&lt;div class="yt-embed"&gt;&lt;iframe src="https://www.youtube.com/embed/r1r7nwhcAO8" title="WACV 2026 presentation video" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen&gt;&lt;/iframe&gt;&lt;/div&gt;</description></item><item><title>Quality Text, Robust Vision: The Role of Language in Enhancing Visual Robustness of Vision-Language Models</title><link>https://futa-waseda.netlify.app/ja/publication/8_qtaft/</link><pubDate>Mon, 27 Oct 2025 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/8_qtaft/</guid><description>&lt;!--
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Supplementary notes can be added here, including [code, math, and images](https://wowchemy.com/docs/writing-markdown-latex/). --&gt;</description></item><item><title>間取り生成アプリ</title><link>https://futa-waseda.netlify.app/ja/project/floo_plan_app/</link><pubDate>Wed, 01 Jan 2025 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/project/floo_plan_app/</guid><description>&lt;p&gt;間取りのサイズ、部屋の数・広さ・種類を指定すると、要望に合った間取りを短時間で自動生成するWebアプリケーションです。&lt;/p&gt;</description></item><item><title>Defending Against Physical Adversarial Patch Attacks on Infrared Human Detection</title><link>https://futa-waseda.netlify.app/ja/publication/5_infraredadv/</link><pubDate>Sun, 27 Oct 2024 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/5_infraredadv/</guid><description>&lt;!--
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Supplementary notes can be added here, including [code, math, and images](https://wowchemy.com/docs/writing-markdown-latex/). --&gt;</description></item><item><title>Twitter Image Captioning</title><link>https://futa-waseda.netlify.app/ja/project/twitter_image_captioning/</link><pubDate>Tue, 05 Jan 2021 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/project/twitter_image_captioning/</guid><description>&lt;p&gt;修士1年の授業で、画像からツイート風の文章を生成するモデルを開発しました。客観的な説明に加え、主観・曖昧さ・ユーモアを含む表現を目指しました。&lt;/p&gt;
&lt;p&gt;Twitter APIで31アカウントから約5,000組の動物画像と文章を収集し、CNNエンコーダーとLSTMデコーダーを使用しました。STAIR Captionsで10エポック事前学習し、Twitterデータで2エポック追加学習しました。&lt;/p&gt;
&lt;p&gt;35名へのアンケートで、自然さ・画像との対応・ユーモア・「いいね」したいかを評価しました。STAIRのみで学習したモデルを上回りましたが、人間のツイートには及びませんでした。&lt;/p&gt;</description></item><item><title>Bidding Agent for Electric Vehicles in Peer-to-Peer Electricity Trading Market considering uncertainty</title><link>https://futa-waseda.netlify.app/ja/publication/2_p2p/</link><pubDate>Tue, 09 Jun 2020 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/2_p2p/</guid><description>&lt;!--
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Supplementary notes can be added here, including [code, math, and images](https://wowchemy.com/docs/writing-markdown-latex/). --&gt;</description></item><item><title>おしゃべりぼっと</title><link>https://futa-waseda.netlify.app/ja/project/oshaberi_bot/</link><pubDate>Wed, 01 Apr 2020 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/project/oshaberi_bot/</guid><description>&lt;p&gt;フォロワーの投稿を収集し、マルコフモデルを使って日本語を学習するTwitterボットです。&lt;/p&gt;
&lt;p&gt;使用技術：Twitter API、Python、マルコフモデル。&lt;/p&gt;</description></item><item><title>消費者アンケートを活用した飲食店顧客の多面的理解</title><link>https://futa-waseda.netlify.app/ja/publication/1_deim/</link><pubDate>Tue, 05 Mar 2019 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/publication/1_deim/</guid><description>&lt;p&gt;MDSデータサイエンスコンテストに優勝した際の成果を発展させ、国内学会で発表したもの。&lt;/p&gt;
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Supplementary notes can be added here, including [code, math, and images](https://wowchemy.com/docs/writing-markdown-latex/). --&gt;</description></item><item><title>Trip Map</title><link>https://futa-waseda.netlify.app/ja/project/tripmap/</link><pubDate>Mon, 30 Apr 2018 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/project/tripmap/</guid><description>&lt;p&gt;授業で制作した旅行計画用のWebアプリです。行きたい場所を保存し、選択した場所を巡る最短経路を探せます。HTML・CSS・JavaScript・jQueryによるフロントエンドを担当しました。&lt;/p&gt;</description></item><item><title>お問い合わせ</title><link>https://futa-waseda.netlify.app/ja/contact/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/contact/</guid><description>&lt;p&gt;大学・研究機関や企業との&lt;strong&gt;共同研究&lt;/strong&gt;、&lt;strong&gt;研究インターンの受け入れ・指導&lt;/strong&gt;、&lt;strong&gt;研究・技術コンサルティング&lt;/strong&gt;に関するご相談を歓迎しています。&lt;/p&gt;
&lt;p&gt;研究に共通する関心がある方や、一緒に検討したいアイデアをお持ちの方は、ぜひお気軽にご連絡ください！&lt;/p&gt;
&lt;p class="contact-email"&gt;&lt;strong&gt;メール:&lt;/strong&gt; futa-waseda [at] nii.ac.jp&lt;/p&gt;
&lt;p&gt;研究トピック:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;Physical AIの安全性&lt;/strong&gt; — Vision-Language-Action（VLA）モデルと身体性を持つAIエージェント&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;敵対的攻撃への頑健性と汎化性能&lt;/strong&gt;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;視覚言語モデルの信頼性&lt;/strong&gt;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;モデルの所有権検証とコンテンツ保護&lt;/strong&gt;&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;安全性評価とベンチマーク構築&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;</description></item><item><title>研究テーマ</title><link>https://futa-waseda.netlify.app/ja/projects/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>https://futa-waseda.netlify.app/ja/projects/</guid><description/></item></channel></rss>