{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T04:49:07Z","timestamp":1782362947210,"version":"3.54.5"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"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":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9746671","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"3493-3497","source":"Crossref","is-referenced-by-count":6,"title":["Adversarial Robustness by Design Through Analog Computing And Synthetic Gradients"],"prefix":"10.1109","author":[{"given":"Alessandro","family":"Cappelli","sequence":"first","affiliation":[{"name":"LightOn,Paris,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ruben","family":"Ohana","sequence":"additional","affiliation":[{"name":"LightOn,Paris,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julien","family":"Launay","sequence":"additional","affiliation":[{"name":"LightOn,Paris,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurent","family":"Meunier","sequence":"additional","affiliation":[{"name":"Facebook AI Research,Paris,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iacopo","family":"Poli","sequence":"additional","affiliation":[{"name":"LightOn,Paris,France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Florent","family":"Krzakala","sequence":"additional","affiliation":[{"name":"LightOn,Paris,France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref30","article-title":"Direct feedback alignment scales to modern deep learning tasks and architectures","volume":"33","author":"launay","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref10","article-title":"Cifar-10 and cifar-100 datasets","volume":"6","author":"krizhevsky","year":"2009"},{"key":"ref11","article-title":"Adversarial examples in the physical world","author":"kurakin","year":"2016"},{"key":"ref12","article-title":"Towards deep learning models resistant to adversarial attacks","author":"madry","year":"2018","journal-title":"International Conference on Learning Representations"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3128572.3140448"},{"key":"ref15","article-title":"Black-box adversarial attacks with limited queries and information","author":"ilyas","year":"2018"},{"key":"ref16","article-title":"Prior convictions: Black-box adversarial attacks with bandits and priors","author":"ilyas","year":"2018"},{"key":"ref17","article-title":"Yet another but more efficient black-box adversarial attack: tiling and evolution strategies","author":"meunier","year":"2019"},{"key":"ref18","article-title":"Square attack: a query-efficient black-box adversarial attack via random search","author":"andriushchenko","year":"2019"},{"key":"ref19","article-title":"Parsimonious black-box adversarial attacks via efficient combinatorial optimization","author":"moon","year":"2019"},{"key":"ref28","article-title":"Principled training of neural networks with direct feedback alignment","author":"launay","year":"2019"},{"key":"ref4","article-title":"Robustness may be at odds with accuracy","author":"tsipras","year":"2019","journal-title":"International Conference on Learning Representations"},{"key":"ref27","article-title":"Photonic computing for massively parallel AI - A White Paper, v1.0","year":"2020"},{"key":"ref3","article-title":"Transferability in machine learning: from phenomena to black-box attacks using adversarial samples","author":"papernot","year":"2016"},{"key":"ref6","first-page":"14855","article-title":"Don&#x2019;t take it lightly: Phasing optical random pro-jections with unknown operators","author":"gupta","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref29","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref5","article-title":"Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples","author":"athalye","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning ICML 2018"},{"key":"ref8","first-page":"1037","article-title":"Direct feedback alignment provides learning in deep neural networks","author":"n\u00f8kland","year":"2016","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054547"},{"key":"ref2","article-title":"Adversarial attacks on linear contextual bandits","volume":"33","author":"garcelon","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref9","article-title":"On the adversarial robustness of neural networks without weight transport","author":"akrout","year":"2019"},{"key":"ref1","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"2015","journal-title":"International Conference on Learning Representations"},{"key":"ref20","first-page":"727","article-title":"Certified robustness to adversarial examples with differential privacy","author":"lecuyer","year":"2018","journal-title":"2019 IEEE Symposium on Security and Privacy (SP)"},{"key":"ref22","article-title":"Theoretical evidence for adversarial robustness through randomization: the case of the exponential family","author":"pinot","year":"2019"},{"key":"ref21","article-title":"Certified adversarial robustness via randomized smoothing","author":"cohen","year":"0"},{"key":"ref24","first-page":"5286","article-title":"Provable defenses against adversarial examples via the convex outer adversarial polytope","author":"wong","year":"2018","journal-title":"International Conference on Machine Learning"},{"key":"ref23","article-title":"Advocating for multiple defense strategies against adversarial examples","author":"alexandre araujo","year":"2020","journal-title":"ECML-PKDD Workshops Machine Learning for Cybersecurity (MLCS)"},{"key":"ref26","article-title":"On adaptive attacks to adversarial example defenses","author":"tramer","year":"2020"},{"key":"ref25","first-page":"8400","article-title":"Scaling provable adversarial defenses","author":"wong","year":"2018","journal-title":"Advances in neural information processing systems"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09746671.pdf?arnumber=9746671","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,22]],"date-time":"2022-08-22T20:14:15Z","timestamp":1661199255000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9746671\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9746671","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}