{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,7]],"date-time":"2026-07-07T04:50:58Z","timestamp":1783399858845,"version":"3.54.6"},"reference-count":62,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020AAA0107702"],"award-info":[{"award-number":["2020AAA0107702"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62376210"],"award-info":[{"award-number":["62376210"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62161160337"],"award-info":[{"award-number":["62161160337"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62132011"],"award-info":[{"award-number":["62132011"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21B2018"],"award-info":[{"award-number":["U21B2018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20A20177"],"award-info":[{"award-number":["U20A20177"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20B2049"],"award-info":[{"award-number":["U20B2049"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62206217"],"award-info":[{"award-number":["62206217"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62006181"],"award-info":[{"award-number":["62006181"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017591","name":"Shaanxi Province Key Industry Innovation Program","doi-asserted-by":"publisher","award":["2023-ZDLGY-38"],"award-info":[{"award-number":["2023-ZDLGY-38"]}],"id":[{"id":"10.13039\/501100017591","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100017591","name":"Shaanxi Province Key Industry Innovation Program","doi-asserted-by":"publisher","award":["2021ZDLGY01-02"],"award-info":[{"award-number":["2021ZDLGY01-02"]}],"id":[{"id":"10.13039\/501100017591","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2022M722530"],"award-info":[{"award-number":["2022M722530"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2023T160512"],"award-info":[{"award-number":["2023T160512"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["xzy012022082"],"award-info":[{"award-number":["xzy012022082"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["xtr052023004"],"award-info":[{"award-number":["xtr052023004"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["xtr022019002"],"award-info":[{"award-number":["xtr022019002"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans.Inform.Forensic Secur."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tifs.2024.3360891","type":"journal-article","created":{"date-parts":[[2024,1,31]],"date-time":"2024-01-31T18:32:41Z","timestamp":1706725961000},"page":"3265-3278","source":"Crossref","is-referenced-by-count":19,"title":["Quantization Aware Attack: Enhancing Transferable Adversarial Attacks by Model Quantization"],"prefix":"10.1109","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0009-0007-9738-8417","authenticated-orcid":false,"given":"Yulong","family":"Yang","sequence":"first","affiliation":[{"name":"School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6265-7345","authenticated-orcid":false,"given":"Chenhao","family":"Lin","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1073-7810","authenticated-orcid":false,"given":"Qian","family":"Li","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0745-4294","authenticated-orcid":false,"given":"Zhengyu","family":"Zhao","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haoran","family":"Fan","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dawei","family":"Zhou","sequence":"additional","affiliation":[{"name":"Xidian University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4695-6134","authenticated-orcid":false,"given":"Nannan","family":"Wang","sequence":"additional","affiliation":[{"name":"Xidian University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9640-6472","authenticated-orcid":false,"given":"Tongliang","family":"Liu","sequence":"additional","affiliation":[{"name":"The University of Sydney, Sydney, NSW, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6959-0569","authenticated-orcid":false,"given":"Chao","family":"Shen","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.04.141"},{"key":"ref2","first-page":"1","article-title":"Intriguing properties of neural networks","volume-title":"Proc. ICLR","author":"Szegedy"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3548606.3560660"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3417253"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358149"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3310352"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00112"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3266702"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3254432"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.3036801"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01967"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CW.2019.00057"},{"key":"ref15","first-page":"1","article-title":"EMPIR: Ensembles of mixed precision deep networks for increased robustness against adversarial attacks","volume-title":"Proc. ICLR","author":"Sen"},{"key":"ref16","first-page":"3492","article-title":"Double-win quant: Aggressively winning robustness of quantized deep neural networks via random precision training and inference","volume-title":"Proc. ICML","author":"Fu"},{"key":"ref17","article-title":"Estimating or propagating gradients through stochastic neurons for conditional computation","author":"Bengio","year":"2013","journal-title":"arXiv:1308.3432"},{"key":"ref18","first-page":"1","article-title":"On large-batch training for deep learning: Generalization gap and sharp minima","volume-title":"Proc. ICLR","author":"Keskar"},{"key":"ref19","article-title":"Revisiting transferable adversarial image examples: Attack categorization, evaluation guidelines, and new insights","author":"Zhao","year":"2023","journal-title":"arXiv:2310.11850"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00957"},{"key":"ref21","first-page":"1","article-title":"Nesterov accelerated gradient and scale invariance for adversarial attacks","volume-title":"Proc. ICLR","author":"Lin"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00196"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01456"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3284649"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00284"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01585"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19772-7_32"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00483"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00754"},{"key":"ref30","first-page":"6115","article-title":"On success and simplicity: A second look at transferable targeted attacks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Zhao"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01457"},{"key":"ref32","first-page":"13950","article-title":"Learning transferable adversarial perturbations","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"34","author":"Salzmann"},{"key":"ref33","first-page":"1","article-title":"Skip connections matter: On the transferability of adversarial examples generated with resnets","volume-title":"Proc. ICLR","author":"Wu"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-19772-7_35"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3211736"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20637"},{"key":"ref37","article-title":"Improving adversarial robustness in weight-quantized neural networks","author":"Song","year":"2020","journal-title":"arXiv:2012.14965"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00286"},{"key":"ref39","first-page":"1","article-title":"Binarized neural networks","volume-title":"Proc. NIPS","volume":"29","author":"Hubara"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46493-0_32"},{"key":"ref41","article-title":"DoReFa-Net: Training low bitwidth convolutional neural networks with low bitwidth gradients","author":"Zhou","year":"2016","journal-title":"arXiv:1606.06160"},{"key":"ref42","first-page":"1","article-title":"Additive powers-of-two quantization: An efficient non-uniform discretization for neural networks","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Li"},{"key":"ref43","first-page":"7197","article-title":"Up or down? Adaptive rounding for post-training quantization","volume-title":"Proc. Int. Conf. Machine. Learn. (ICML)","author":"Nagel"},{"key":"ref44","first-page":"1","article-title":"BRECQ: Pushing the limit of post-training quantization by block reconstruction","volume-title":"Proc. ICLR","author":"Li"},{"key":"ref45","first-page":"4466","article-title":"Accurate post training quantization with small calibration sets","volume-title":"Proc. ICML","author":"Hubara"},{"key":"ref46","first-page":"1","article-title":"QDrop: Randomly dropping quantization for extremely low-bit post-training quantization","volume-title":"Proc. ICLR","author":"Wei"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00222"},{"key":"ref48","article-title":"Switchable precision neural networks","author":"Guerra","year":"2020","journal-title":"arXiv:2002.02815"},{"key":"ref49","first-page":"25552","article-title":"Bitwidth heterogeneous federated learning with progressive weight dequantization","volume-title":"Proc. ICML","author":"Yoon"},{"key":"ref50","first-page":"23433","article-title":"Removing batch normalization boosts adversarial training","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Wang"},{"key":"ref51","first-page":"321","article-title":"Why do adversarial attacks transfer? Explaining transferability of evasion and poisoning attacks","volume-title":"Proc. 28th USENIX Secur. Symp.","author":"Demontis"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.4135\/9781412985130"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref54","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/233"},{"key":"ref56","first-page":"1","article-title":"LowKey: Leveraging adversarial attacks to protect social media users from facial recognition","volume-title":"Proc. ICLR","author":"Cherepanova"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.2478\/popets-2021-0006"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3275057"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1145\/3323873.3325052"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/iccv.2017.165"},{"key":"ref61","article-title":"Pixel privacy. Increasing image appeal while blocking automatic inference of sensitive scene information","author":"Larson","year":"2018"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1145\/3450613.3456832"}],"container-title":["IEEE Transactions on Information Forensics and Security"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10206\/10319981\/10418142.pdf?arnumber=10418142","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T01:31:33Z","timestamp":1710379893000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10418142\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":62,"URL":"https:\/\/doi.org\/10.1109\/tifs.2024.3360891","relation":{},"ISSN":["1556-6013","1556-6021"],"issn-type":[{"value":"1556-6013","type":"print"},{"value":"1556-6021","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}