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Nakamura Lab
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A lab studying attacks on, and defenses for, AI that handles images.
AboutAbout the lab
Protecting image recognition and generation from attacks on AI.
The Nakamura Lab studies cyberattacks on AI that recognizes or generates images, and defenses against them.
Its research fields are information security, perceptual information processing, and intelligent informatics.
Its research topics are developing methods for removing the poison from image recognition models and image datasets that have suffered poisoning attacks, and quantifying the risk of model inversion attacks that expose the training data of image generation AI, along with developing defenses against them.
Key terms
- Model inversion attack
- An attack that causes an image generation AI to expose its training data.
ResearchResearch themes
This lab studies cyberattacks on AI that recognizes and generates images, and defenses against them. Its work spans information security, perceptual information processing, and intelligent informatics.
*Illustrative imageAttacks on and Defenses for Image Recognition AI
The lab has studied cyberattacks on image recognition AI and defenses against them since 2018. Its research topic is developing methods for removing the poison from image recognition models and image datasets that have suffered poisoning attacks.
*Illustrative imageAttacks on and Defenses for Image Generation AI
The lab has studied cyberattacks on image generation AI and defenses against them since 2025. Its research topics are quantifying the risk of model inversion attacks that expose the training data of image generation AI, and developing defenses against them.
MembersFaculty
- Associate ProfessorKazuaki Nakamura
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Tatsukawa LabFaculty of Engineering, Department of Information and Computer TechnologyIntelligent informatics, soft computingThe information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “CCTV camera in Poland (1)” MichalPL / CC BY-SA 4.0 (cropped)
- Attacks on and Defenses for Image Recognition AI: “Banana Plant Flask by Max Gruber” Max Gruber / CC BY 4.0 (cropped)
- Attacks on and Defenses for Image Generation AI: “Tesla-NVIDIA GPU cluster ( )” ChrisDag / CC BY 2.0 (cropped)
- Related lab (入江研究室): “Lens camera Industar 26 m” Dmitry Makeev / CC BY-SA 4.0 (cropped)
- Related lab (谷口研究室): “Face Recognition Field Test at Südkreuz 12” This image is a work by Wikipedia and Wikimedia Commons user C.Suthorn. When reusing, credit me as described in the Licensing information below. I would appreciate being notified (wikimail, talk page, , Social Media) if you use my work outside Wikimedia. Do not copy this image illegally by ignoring the terms of the license below, as it is not in the public domain. If you would like special permission to use, license, or purchase the image please contact me to negotiate terms. More of my work can be found in my personal gallery or at my Peertube channel. A prepared attribution especially for use in Social Media and Print (newspapers, flyers, books, murals, mousepads, mugs, posters, t-shirts) can be copied here / CC BY-SA 4.0 (cropped)
- Related lab (柴田研究室): “What-is-nlp” javatpoint / Public domain (cropped)
- Related lab (立川研究室): “Qplay” Autosys Industrial Solutions / CC BY-SA 4.0 (cropped)
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