Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Anupam Golder"'
Publikováno v:
IEEE Sensors Letters. 7:1-4
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3999e5cd1980fe15fbd291596ea253bd
https://doi.org/10.1109/lsens.2023.3259301
https://doi.org/10.1109/lsens.2023.3259301
Publikováno v:
Proceedings of the Great Lakes Symposium on VLSI 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51198c27c65fc9290fc8f6e9882d82fe
https://doi.org/10.1145/3583781.3590304
https://doi.org/10.1145/3583781.3590304
Machine learning (ML) is getting more pervasive. Wide adoption of ML in healthcare, facial recognition, and blockchain involves private and sensitive data. One of the most promising candidates for inference on encrypted data, termed Fully Homomorphic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a627848aa377bdc05497530d131304e9
https://doi.org/10.21203/rs.3.rs-2910088/v1
https://doi.org/10.21203/rs.3.rs-2910088/v1
Autor:
Arijit Raychowdhury, Muya Chang, Shovan Maity, Dong-Hyun Seo, Josef Danial, Sanu Mathew, Harish K. Krishnamurthy, Anupam Golder, Shreyas Sen, Avinash L. Varna, Nirmoy Modak, Debayan Das, Santosh Ghosh, Baibhab Chatterjee
Publikováno v:
IEEE Journal of Solid-State Circuits. 56:136-150
Mathematically secure cryptographic algorithms, when implemented on a physical substrate, leak critical “side-channel” information, leading to power and electromagnetic (EM) analysis attacks. Circuit-level protections involve switched capacitor,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76db016b2dab92a869469f8d85692231
https://doi.org/10.1109/jssc.2020.3032975
https://doi.org/10.1109/jssc.2020.3032975
Publikováno v:
Proceedings of the Great Lakes Symposium on VLSI 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8adaf32495acbfddd27153ae4ef01b4a
https://doi.org/10.1145/3526241.3530346
https://doi.org/10.1145/3526241.3530346
Publikováno v:
2022 Opportunity Research Scholars Symposium (ORSS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::272fcb88aa879a14d1d6f7f5fd7a0916
https://doi.org/10.1109/orss55359.2022.9806031
https://doi.org/10.1109/orss55359.2022.9806031
Publikováno v:
CICC
This article, for the first time, demonstrates an efficient circuit-level countermeasure to prevent deep-learning based side-channel analysis (DLSCA) attacks on encryption devices. Machine learning (ML) SCA, particularly DLSCA attacks have been shown
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18deceb261987e5b6672c3e72e23bd10
https://doi.org/10.1109/cicc48029.2020.9075889
https://doi.org/10.1109/cicc48029.2020.9075889
Autor:
Arijit Raychowdhury, Josef Danial, Debayan Das, Muya Chang, Harish K. Krishnamurthy, Baibhab Chatterjee, Dong-Hyun Seo, Anupam Golder, Avinash L. Varna, Santosh Ghosh, Sanu Mathew, Shreyas Sen, Nirmoy Modak, Shovan Maity
Publikováno v:
ISSCC
Computationally-secure cryptographic algorithms when implemented on physical platforms leak critical physical signals correlated with the secret key in the form of power consumption and electromagnetic (EM) emanations. This can be exploited by an adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10aacd28f7da9f6274aaded4b809d86b
https://doi.org/10.1109/isscc19947.2020.9062997
https://doi.org/10.1109/isscc19947.2020.9062997
This work presents a Cross-device Deep-Learning based Electromagnetic (EM-X-DL) side-channel analysis (SCA) on AES-128, in the presence of a significantly lower signal-to-noise ratio (SNR) compared to previous works. Using a novel algorithm to intell
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c34e333d4ba34966c666c81deabe79ed