Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Lin Geng Foo"'
Dynamic neural networks can greatly reduce computation redundancy without compromising accuracy by adapting their structures based on the input. In this paper, we explore the robustness of dynamic neural networks against energy-oriented attacks targe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85822fa7ebf85687c94d8835b3ee37a9
http://arxiv.org/abs/2304.06724
http://arxiv.org/abs/2304.06724
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198113
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4b127983808eb65cf1bca1d8ac50bf6
https://doi.org/10.1007/978-3-031-19812-0_23
https://doi.org/10.1007/978-3-031-19812-0_23
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031197710
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a5f517b3f08e1440523df4b8a714997
https://doi.org/10.1007/978-3-031-19772-7_23
https://doi.org/10.1007/978-3-031-19772-7_23
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198298
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bca7b97ab29c63f00d3c427da881656
https://doi.org/10.1007/978-3-031-19830-4_38
https://doi.org/10.1007/978-3-031-19830-4_38