{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T00:15:14Z","timestamp":1758672914393,"version":"3.44.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9]]},"abstract":"<jats:p>Differentiable rendering techniques like Gaussian Splatting and Neural Radiance Fields have become powerful tools for generating high-fidelity models of 3D objects and scenes. Their ability to produce both physically plausible and differentiable models of scenes are key ingredient needed to produce physically plausible adversarial attacks on DNNs.  However, the adversarial machine learning community has yet to fully explore these capabilities, partly due to differing attack goals (e.g., misclassification, misdetection) and a wide range of possible scene manipulations used to achieve them (e.g., alter texture, mesh). This survey contributes a framework that unifies diverse goals and tasks, facilitating easy comparison of existing work, identifying research gaps, and highlighting future directions\u2014ranging from expanding attack goals and tasks to account for new modalities, state-of-the-art models, tools, and pipelines, to underscoring the importance of studying real-world threats in complex scenes.<\/jats:p>","DOI":"10.24963\/ijcai.2025\/1163","type":"proceedings-article","created":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T08:10:40Z","timestamp":1758269440000},"page":"10473-10480","source":"Crossref","is-referenced-by-count":0,"title":["RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering"],"prefix":"10.24963","author":[{"given":"Matthew","family":"Hull","sequence":"first","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Haoran","family":"Wang","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Matthew","family":"Lau","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Alec","family":"Helbling","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Mansi","family":"Phute","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Chao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Zsolt","family":"Kira","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Willian","family":"Lunardi","sequence":"additional","affiliation":[{"name":"Technology Innovation Institute"}]},{"given":"Martin","family":"Andreoni","sequence":"additional","affiliation":[{"name":"Technology Innovation Institute"}]},{"given":"Wenke","family":"Lee","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]},{"given":"Duen Horng","family":"Chau","sequence":"additional","affiliation":[{"name":"Georgia Institute of Technology"}]}],"member":"10584","event":{"number":"34","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"acronym":"IJCAI-2025","name":"Thirty-Fourth International Joint Conference on Artificial Intelligence {IJCAI-25}","start":{"date-parts":[[2025,8,16]]},"theme":"Artificial Intelligence","location":"Montreal, Canada","end":{"date-parts":[[2025,8,22]]}},"container-title":["Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2025,9,23]],"date-time":"2025-09-23T11:36:19Z","timestamp":1758627379000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2025\/1163"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2025,9]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2025\/1163","relation":{},"subject":[],"published":{"date-parts":[[2025,9]]}}}