{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T09:14:16Z","timestamp":1781169256542,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T00:00:00Z","timestamp":1737331200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,1,20]]},"DOI":"10.1145\/3658617.3697771","type":"proceedings-article","created":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T14:32:21Z","timestamp":1741098741000},"page":"1295-1301","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["The Unlikely Hero: Nonidealities in Analog Photonic Neural Networks as Built-in Adversarial Defenders"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-8919-5367","authenticated-orcid":false,"given":"Haotian","family":"Lu","sequence":"first","affiliation":[{"name":"Arizona State Univ., Tempe, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5308-1100","authenticated-orcid":false,"given":"Ziang","family":"Yin","sequence":"additional","affiliation":[{"name":"Arizona State Univ., Tempe, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-4722-1910","authenticated-orcid":false,"given":"Partho","family":"Bhoumik","sequence":"additional","affiliation":[{"name":"Arizona State Univ., Tempe, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1136-9220","authenticated-orcid":false,"given":"Sanmitra","family":"Banerjee","sequence":"additional","affiliation":[{"name":"Arizona State Univ., Tempe, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4475-6435","authenticated-orcid":false,"given":"Krishnendu","family":"Chakrabarty","sequence":"additional","affiliation":[{"name":"Arizona State Univ., Tempe, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8535-7698","authenticated-orcid":false,"given":"Jiaqi","family":"Gu","sequence":"additional","affiliation":[{"name":"Arizona State Univ., Tempe, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,3,4]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1364\/OFC.2022.M2G.3"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISVLSI54635.2022.00035"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSTQE.2023.3242992"},{"key":"e_1_3_2_1_4_1","volume-title":"Proc. IEEE","author":"Cheng Q.","year":"2020","unstructured":"Q. Cheng, J. Kwon, M. Glick, M. Bahadori, L. P. Carloni, and K. Bergman. 2020. Silicon Photonics Codesign for Deep Learning. Proc. IEEE (2020)."},{"key":"e_1_3_2_1_5_1","volume-title":"Xin Fu, Anton Lukashchuk, Arslan Raja, Junqiu Liu, David Wright, Abu Sebastian, Tobias Kippenberg, Wolfram Pernice, and Harish Bhaskaran.","author":"Feldmann Johannes","year":"2021","unstructured":"Johannes Feldmann, Nathan Youngblood, Maxim Karpov, Helge Gehring, Xuan Li, Maik Stappers, Manuel Le Gallo, Xin Fu, Anton Lukashchuk, Arslan Raja, Junqiu Liu, David Wright, Abu Sebastian, Tobias Kippenberg, Wolfram Pernice, and Harish Bhaskaran. 2021. Parallel convolutional processing using an integrated photonic tensor core. Nature (2021)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1021\/acsphotonics.2c01188"},{"key":"e_1_3_2_1_7_1","unstructured":"Jiaqi Gu Zheng Zhao Chenghao Feng et al. 2020. Towards Hardware-Efficient Optical Neural Networks: Beyond FFT Architecture via Joint Learnability. IEEE TCAD (2020)."},{"key":"e_1_3_2_1_8_1","volume-title":"Pan","author":"Gu Jiaqi","year":"2020","unstructured":"Jiaqi Gu, Zheng Zhao, Chenghao Feng, Hanqing Zhu, Ray T. Chen, and David Z. Pan. 2020. ROQ: A Noise-Aware Quantization Scheme Towards Robust Optical Neural Networks with Low-bit Controls. In Proc. DATE."},{"key":"e_1_3_2_1_9_1","volume-title":"Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14083--14091","author":"He Zhezhi","year":"2020","unstructured":"Zhezhi He, Adnan Siraj Rakin, Jingtao Li, Chaitali Chakrabarti, and Deliang Fan. 2020. Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack. In 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14083--14091."},{"key":"e_1_3_2_1_10_1","volume-title":"Automation & Test in Europe Conference & Exhibition (DATE). 790--795","author":"Li Jingtao","year":"2021","unstructured":"Jingtao Li, Adnan Siraj Rakin, Zhezhi He, Deliang Fan, and Chaitali Chakrabarti. 2021. RADAR: Run-time Adversarial Weight Attack Detection and Accuracy Recovery. In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE). 790--795."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/DAC18072.2020.9218665"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2022.3211411"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3400302.3415726"},{"key":"e_1_3_2_1_14_1","volume-title":"Proc. DATE.","author":"Liu W.","unstructured":"W. Liu, W. Liu, Y. Ye, Q. Lou, Y. Xie, and L. Jiang. 2019. HolyLight: A Nanophotonic Accelerator for Deep Learning in Data Centers. In Proc. DATE."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCAD.2017.8203770"},{"key":"e_1_3_2_1_16_1","first-page":"3359","article-title":"Silicon Photonic Microring Resonators: A Comprehensive Design-Space Exploration and Optimization Under Fabrication-Process Variations","volume":"41","author":"Mirza Asif","year":"2022","unstructured":"Asif Mirza, Febin Sunny, et al. 2022. Silicon Photonic Microring Resonators: A Comprehensive Design-Space Exploration and Optimization Under Fabrication-Process Variations. IEEE TCAD 41, 10 (2022), 3359--3372.","journal-title":"IEEE TCAD"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSSC.2017.2748620"},{"key":"e_1_3_2_1_18_1","volume-title":"Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. In 2019 IEEE\/CVF International Conference on Computer Vision (ICCV). 1211--1220","author":"Rakin A.","unstructured":"A. Rakin, Z. He, and D. Fan. 2019. Bit-Flip Attack: Crushing Neural Network With Progressive Bit Search. In 2019 IEEE\/CVF International Conference on Computer Vision (ICCV). 1211--1220."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3112932"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1364\/OE.25.013252"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Bhavin J. Shastri Alexander N. Tait et al. 2021. Photonics for Artificial Intelligence and Neuromorphic Computing. Nature Photonics (2021).","DOI":"10.1109\/SUM48717.2021.9505837"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Yichen Shen Nicholas C. Harris Scott Skirlo et al. 2017. Deep Learning with Coherent Nanophotonic Circuits. Nature Photonics (2017).","DOI":"10.1109\/PHOSST.2017.8012714"},{"key":"e_1_3_2_1_23_1","volume-title":"Ellen Zhou, et al.","author":"Tait Alexander N.","year":"2017","unstructured":"Alexander N. Tait, Thomas Ferreira de Lima, Ellen Zhou, et al. 2017. Neuromorphic photonic networks using silicon photonic weight banks. Sci. Rep. (2017)."},{"key":"e_1_3_2_1_24_1","volume-title":"Moss","author":"Xu Xingyuan","year":"2021","unstructured":"Xingyuan Xu, Mengxi Tan, Bill Corcoran, Jiayang Wu, Andreas Boes, Thach G. Nguyen, Sai T. Chu, Brent E. Little, Damien G. Hicks, Roberto Morandotti, Arnan Mitchell, and David J. Moss. 2021. 11 TOPS photonic convolutional accelerator for optical neural networks. Nature (2021)."},{"key":"e_1_3_2_1_25_1","volume-title":"Large-scale photonic chiplet Taichi empowers 160-TOPS\/W artificial general intelligence. Science 384, 6692","author":"Xu Zhihao","year":"2024","unstructured":"Zhihao Xu, Tiankuang Zhou, Muzhou Ma, ChenChen Deng, Qionghai Dai, and Lu Fang. 2024. Large-scale photonic chiplet Taichi empowers 160-TOPS\/W artificial general intelligence. Science 384, 6692 (2024), 202--209."},{"key":"e_1_3_2_1_26_1","volume-title":"Proc. ICCAD.","author":"Yin Ziang","year":"2024","unstructured":"Ziang Yin, Nicholas Gangi, Meng Zhang, Jeff Zhang, Rena Huang, and Jiaqi Gu. 2024. SCATTER: Algorithm-Circuit Co-Sparse Photonic Accelerator with Thermal-Tolerant, Power-Efficient In-situ Light Redistribution. In Proc. ICCAD."},{"key":"e_1_3_2_1_27_1","volume-title":"Proc. ICCAD.","author":"Zhao Zheng","year":"2019","unstructured":"Zheng Zhao, Jiaqi Gu, Zhoufeng Ying, et al. 2019. Design Technology for Scalable and Robust Photonic Integrated Circuits. In Proc. ICCAD."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA57654.2024.00059"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"H.H. Zhu J. Zou H. Zhang et al. 2022. Space-efficient optical computing with an integrated chip diffractive neural network. Nature Commun. (2022).","DOI":"10.1364\/CLEO_SI.2022.SF1C.1"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/3400302.3415682"}],"event":{"name":"ASPDAC '25: 30th Asia and South Pacific Design Automation Conference","location":"Tokyo Japan","acronym":"ASPDAC '25","sponsor":["SIGDA ACM Special Interest Group on Design Automation","IEICE","IPSJ","IEEE CAS","IEEE CEDA"]},"container-title":["Proceedings of the 30th Asia and South Pacific Design Automation Conference"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3658617.3697771","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3658617.3697771","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:53Z","timestamp":1750295873000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3658617.3697771"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,20]]},"references-count":30,"alternative-id":["10.1145\/3658617.3697771","10.1145\/3658617"],"URL":"https:\/\/doi.org\/10.1145\/3658617.3697771","relation":{},"subject":[],"published":{"date-parts":[[2025,1,20]]},"assertion":[{"value":"2025-03-04","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}