| dc.contributor.author | Maji, Saurav | |
| dc.contributor.author | Banerjee, Utsav | |
| dc.contributor.author | Chandrakasan, Anantha P | |
| dc.date.accessioned | 2021-03-25T22:52:48Z | |
| dc.date.available | 2021-03-25T22:52:48Z | |
| dc.date.issued | 2021 | |
| dc.identifier.issn | 2327-4662 | |
| dc.identifier.issn | 2372-2541 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/130245 | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1109/jiot.2021.3061314 | en_US |
| dc.rights | Creative Commons Attribution-Noncommercial-Share Alike | en_US |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | en_US |
| dc.source | Prof. Anantha P. Chandrakasan | en_US |
| dc.title | Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels – Attacks and Defenses | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Maji, Saurav et al. "Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels – Attacks and Defenses." Forthcoming in IEEE Internet of Things Journal (2021). © 2021 IEEE | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | en_US |
| dc.contributor.approver | Maji, Saurav | en_US |
| dc.relation.journal | IEEE Internet of Things Journal | en_US |
| dc.eprint.version | Author's final manuscript | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dspace.date.submission | 2021-03-04T02:26:37Z | |
| mit.license | OPEN_ACCESS_POLICY | |
| mit.metadata.status | Complete | |
