| dc.contributor.author | Lee, Kyungmi | |
| dc.contributor.author | Chandrakasan, Anantha P | |
| dc.date.accessioned | 2022-06-07T18:45:46Z | |
| dc.date.available | 2022-06-07T18:45:46Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/142904 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation.isversionof | 10.1109/OJCAS.2021.3116244 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International License | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | en_US |
| dc.source | IEEE | en_US |
| dc.title | Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | Lee, Kyungmi and Chandrakasan, Anantha P. 2021. "Understanding the Energy vs. Adversarial Robustness Trade-Off in Deep Neural Networks." IEEE Open Journal of Circuits and Systems, 2. | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.relation.journal | IEEE Open Journal of Circuits and Systems | en_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2022-06-07T18:25:47Z | |
| dspace.orderedauthors | Lee, K; Chandrakasan, AP | en_US |
| dspace.date.submission | 2022-06-07T18:25:49Z | |
| mit.journal.volume | 2 | en_US |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
