Dr. Jihun Hamm<\/a><\/h4>\nTulane University, USA<\/p>\n
[\/et_pb_text][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” disabled_on=”off|off|off” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”Title” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
Can synthetic images be better than real images?
A study of utility and privacy of synthetic images in dermatology<\/p>\n
[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” disabled_on=”off|off|off” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”Abstract” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
Advances in generative models such as GAN, VAE, and more recently, Diffusion models have revolutionized the field of image generation by enabling the generation of photorealistic synthetic images for many potential applications. Along with the advances, the question whether synthetic data can replace real data has become increasingly relevant. Synthetic data has been demonstrated to improve classification and to overcome the data scarcity issues such as data imbalance, robustness, and biases. This is done by generating synthetic data distributions with improved balance and other properties. Furthermore, there is an increasing demand for privacy-preserving synthetic image generation across various domains such as healthcare, finance, and social media. However, achieving the optimal tradeoff between utility and privacy remains a significant technical challenge, and various privacy-preserving techniques are being studied. In this talk, I will first discuss how generative AI can help in skin disease diagnosis problem, and also present benchmarking results on utility-privacy of recent image synthesis methods.<\/p>\n
[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_accordion open_toggle_background_color=”#f7f7f7″ icon_color=”#0C71C3″ use_icon_font_size=”on” disabled_on=”off|off|off” _builder_version=”4.25.1″ _module_preset=”default” custom_margin=”||14px|||” animation_style=”slide” animation_direction=”bottom” animation_intensity_slide=”18%” border_radii=”on|30px|30px|30px|30px” global_colors_info=”{}”][et_pb_accordion_item title=”Bio” open=”on” _builder_version=”4.25.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n
Dr. Jihun Hamm has been an Associate Professor of Computer Science at Tulane University since 2019. He received his PhD degree from the University of Pennsylvania in 2008 supervised by Dr. Daniel Lee. Dr. Hamm’s research interest is in machine learning, from theory to applications. He has worked on the theory and practice of robust and adversarial machine learning, privacy and security and optimization. Dr. Hamm also has worked on medical data analysis. His work in machine learning has been published in top venues such as ICML, NeurIPS, CVPR, JMLR, and IEEE-TPAMI. His work has also been published in medical research venues such as MICCAI, MedIA, and IEEE-TMI. Among other awards, he has earned the Best Paper Award from MedIA, Finalist for MICCAI Young Scientist Publication Impact Award, and Google Faculty Research Award.<\/p>\n
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EDGE-X 2025 Reimagining edge intelligence with low-power high efficiency AI Systems ScheduleDATE: October 8, 2025 Venue: Sigma 3, Chancery Pavilion, Bangalore Time Event 09:30 AM \u2013 11:00 AM Keynote Talk \u2013 Prof. Chetan Singh Thakur (IISc Bangalore)\u201cRAMAN: An Edge AI Accelerator from High-Speed Imaging to Brain\u2013Computer Interfaces\u201d Tea \/ Coffee Break 11:00 AM \u2013 […]<\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"\n
This is an example page. It's different from a blog post because it will stay in one place and will show up in your site navigation (in most themes). Most people start with an About page that introduces them to potential site visitors. It might say something like this:<\/p>\n\n\n\n
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...or something like this:<\/p>\n\n\n\n
\nThe XYZ Doohickey Company was founded in 1971, and has been providing quality doohickeys to the public ever since. Located in Gotham City, XYZ employs over 2,000 people and does all kinds of awesome things for the Gotham community.<\/p>\n<\/blockquote>\n\n\n\n
As a new WordPress user, you should go to your dashboard<\/a> to delete this page and create new pages for your content. Have fun!<\/p>\n","_et_gb_content_width":"","footnotes":""},"class_list":["post-6515","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/6515","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/comments?post=6515"}],"version-history":[{"count":57,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/6515\/revisions"}],"predecessor-version":[{"id":7592,"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/pages\/6515\/revisions\/7592"}],"wp:attachment":[{"href":"https:\/\/www.aimlsystems.org\/2026\/wp-json\/wp\/v2\/media?parent=6515"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}