{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T16:50:53Z","timestamp":1771951853758,"version":"3.50.1"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T00:00:00Z","timestamp":1769817600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T00:00:00Z","timestamp":1769817600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,1,31]]},"DOI":"10.1109\/cgo68049.2026.11395213","type":"proceedings-article","created":{"date-parts":[[2026,2,23]],"date-time":"2026-02-23T20:46:32Z","timestamp":1771879592000},"page":"70-83","source":"Crossref","is-referenced-by-count":1,"title":["FHEFusion: Enabling Operator Fusion in FHE Compilers for Depth-Efficient DNN Inference"],"prefix":"10.1109","author":[{"given":"Tianxiang","family":"Sui","sequence":"first","affiliation":[{"name":"Ant Group,Ant Research,Shanghai,China"}]},{"given":"JianXin","family":"Lai","sequence":"additional","affiliation":[{"name":"Ant Group,Ant Research,Shanghai,China"}]},{"given":"Long","family":"Li","sequence":"additional","affiliation":[{"name":"Ant Group,Ant Research,Shanghai,China"}]},{"given":"Peng","family":"Yuan","sequence":"additional","affiliation":[{"name":"Ant Group,Ant Research,Shanghai,China"}]},{"given":"Yan","family":"Liu","sequence":"additional","affiliation":[{"name":"Ant Group,Ant Research,Shanghai,China"}]},{"given":"Qing","family":"Zhu","sequence":"additional","affiliation":[{"name":"Ant Group,Ant Research,Shanghai,China"}]},{"given":"Xiaojing","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ant Group,Ant Research,Shanghai,China"}]},{"given":"Linjie","family":"Xiao","sequence":"additional","affiliation":[{"name":"Ant Group,Ant Research,Shanghai,China"}]},{"given":"Mingzhe","family":"Zhang","sequence":"additional","affiliation":[{"name":"Ant Group,Ant Research,Beijing,China"}]},{"given":"Jingling","family":"Xue","sequence":"additional","affiliation":[{"name":"Ant Group,School of Computer Science and Engineering, Ant Research UNSW,Sydney,Australia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.5555\/3026877.3026899"},{"key":"ref2","article-title":"TVM: An automated end-to-end optimizing compiler for deep learning","volume-title":"USENIX Symposium on Operating Systems Design and Implementation","author":"Chen"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3453483.3454083"},{"key":"ref4","volume-title":"PyTorch: an imperative style, high-performance deep learning library","author":"Paszke","year":"2019"},{"key":"ref5","article-title":"A fully homomorphic encryption scheme","volume-title":"Ph.D. dissertation","author":"Gentry","year":"2009"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70694-8_15"},{"key":"ref7","article-title":"nGraph-HE: A graph compiler for deep learning on homomorphically encrypted data","volume-title":"CoRR","author":"Boemer","year":"2018"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3656382"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-78381-9_14"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-662-44371-2_31"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3676641.3716008"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3314221.3314628"},{"key":"ref13","first-page":"4715","article-title":"HECO: Fully homomorphic encryption compiler","volume-title":"32nd USENIX Security Symposium (USENIX Security 23)","author":"Viand"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3385412.3386023"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3696443.3708924"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3669940.3707276"},{"key":"ref17","first-page":"6993","article-title":"DaCapo: Automatic bootstrapping management for efficient fully homomorphic encryption","volume-title":"33rd USENIX Security Symposium (USENIX Security 24)","author":"Cheon"},{"key":"ref18","first-page":"4697","article-title":"ELASM: Error-latency-aware scale management for fully homomorphic encryption","volume-title":"32nd USENIX Security Symposium (USENIX Security 23)","author":"Lee"},{"key":"ref19","article-title":"Low-complexity deep convolutional neural networks on fully homomorphic encryption using multiplexed parallel convolutions","volume-title":"Cryptology ePrint Archive, Paper 2021\/1688","author":"Lee","year":"2021"},{"key":"ref20","first-page":"1651","article-title":"GAZELLE: A low latency framework for secure neural network inference","volume-title":"27th USENIX Security Symposium (USENIX Security 18)","author":"Juvekar"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3763095"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3696443.3708917"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3159694"},{"issue":"6","key":"ref24","first-page":"43.1","article-title":"On ideal lattices and learning with errors over rings","volume":"60","author":"Vadim","year":"2013","journal-title":"Journal of the Association for Computing Machinery"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2633600"},{"key":"ref26","article-title":"Somewhat practical fully homomorphic encryption","volume-title":"Cryptology ePrint Archive, Paper 2012\/144","author":"Fan","year":"2012"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-10970-7_16"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17656-3_2"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CGO53902.2022.9741265"},{"key":"ref30","article-title":"AESPA: accuracy preserving low-degree polynomial activation for fast private inference","volume-title":"CoRR","author":"Park","year":"2022"},{"key":"ref31","first-page":"770","article-title":"Deep residual learning for image recognition","volume-title":"Proceedings of the IEEE conference on computer vision and pattern recognition","author":"Kaiming"},{"key":"ref32","first-page":"201","article-title":"CryptoNets: Applying neural networks to encrypted data with high throughput and accuracy","volume-title":"Proceedings of The 33rd International Conference on Machine Learning","volume":"48","author":"Gilad-Bachrach"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref34","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Karen","year":"2014","journal-title":"Computer Science"},{"key":"ref35","article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","volume-title":"CoRR","author":"Howard","year":"2017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.5555\/2999134.2999257"},{"key":"ref37","article-title":"SqueezeNet: Alexnet-level accuracy with 50x fewer parameters and <1mb model size","volume-title":"CoRR","author":"Iandola","year":"2016"},{"key":"ref38","article-title":"Learning multiple layers of features from tiny images","volume-title":"Tech. Rep. 0","author":"Krizhevsky","year":"2009"},{"key":"ref40","first-page":"75","article-title":"Homomorphic encryption from learning with errors: Conceptually-simpler, asymptotically-faster, attribute-based","author":"Craig","year":"2013","journal-title":"Advances in Cryptology \u2013 CRYPTO 2013"},{"key":"ref41","first-page":"617","article-title":"FHEW: bootstrapping homomorphic encryption in less than a second","volume-title":"Annual international conference on the theory and applications of cryptographic techniques","author":"L\u00e9o"},{"key":"ref42","first-page":"3","article-title":"Faster fully homomorphic encryption: Bootstrapping in less than 0.1 seconds","volume-title":"Advances in Cryptology\u2013ASIACRYPT 2016: 22nd International Conference on the Theory and Application of Cryptology and Information Security, Hanoi, Vietnam, December 4-8, 2016, Proceedings, Part I 22","author":"Ilaria"},{"issue":"6","key":"ref43","first-page":"84","article-title":"On lattices and learning with errors and random linear codes and cryptography","volume-title":"Proceedings of the Annual ACM Symposium on Theory of Computing","volume":"56","author":"Oded"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/hpca56546.2023.10071017"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2025.3574481"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA61900.2025.00091"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3695053.3731408"},{"key":"ref48","article-title":"Reproduction package for article FHEFusion","author":"Sui","year":"2025"}],"event":{"name":"2026 IEEE\/ACM International Symposium on Code Generation and Optimization (CGO)","location":"Sydney, Australia","start":{"date-parts":[[2026,1,31]]},"end":{"date-parts":[[2026,2,4]]}},"container-title":["2026 IEEE\/ACM International Symposium on Code Generation and Optimization (CGO)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11395173\/11394837\/11395213.pdf?arnumber=11395213","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T07:42:08Z","timestamp":1771918928000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11395213\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,31]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/cgo68049.2026.11395213","relation":{},"subject":[],"published":{"date-parts":[[2026,1,31]]}}}