Adversarial and secure machine learning:
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
München
2017
|
| Subjects: | |
| Online Access: | Volltext https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20170505-1335448-1-0 |
| Physical Description: | xix, 133 Seiten Diagramme |
Staff View
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV044321009 | ||
| 003 | DE-604 | ||
| 005 | 20170626 | ||
| 007 | t | ||
| 008 | 170522s2017 |||| m||| 00||| eng d | ||
| 035 | |a (OCoLC)989516690 | ||
| 035 | |a (DE-599)BVBBV044321009 | ||
| 040 | |a DE-604 |b ger |e rda | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-384 |a DE-473 |a DE-703 |a DE-1051 |a DE-824 |a DE-29 |a DE-12 |a DE-91 |a DE-19 |a DE-1049 |a DE-92 |a DE-739 |a DE-898 |a DE-355 |a DE-706 |a DE-20 |a DE-1102 |a DE-860 |a DE-2174 |a DE-91G | ||
| 084 | |a DAT 460d |2 stub | ||
| 084 | |a DAT 050d |2 stub | ||
| 100 | 1 | |a Xiao, Huang |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Adversarial and secure machine learning |c Huang Xiao |
| 264 | 1 | |a München |c 2017 | |
| 300 | |a xix, 133 Seiten |b Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 502 | |b Dissertation |c Technische Universität München |d 2017 | ||
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |o urn:nbn:de:bvb:91-diss-20170505-1335448-1-0 |
| 856 | 4 | 1 | |u https://mediatum.ub.tum.de/node?id=1335448 |x Verlag |z kostenfrei |3 Volltext |
| 856 | 4 | |u https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20170505-1335448-1-0 |x Resolving-System | |
| 912 | |a ebook | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-029724478 | ||
Record in the Search Index
| _version_ | 1804177539317366784 |
|---|---|
| any_adam_object | |
| author | Xiao, Huang |
| author_facet | Xiao, Huang |
| author_role | aut |
| author_sort | Xiao, Huang |
| author_variant | h x hx |
| building | Verbundindex |
| bvnumber | BV044321009 |
| classification_tum | DAT 460d DAT 050d |
| collection | ebook |
| ctrlnum | (OCoLC)989516690 (DE-599)BVBBV044321009 |
| discipline | Informatik |
| format | Thesis Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01300nam a2200337 c 4500</leader><controlfield tag="001">BV044321009</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20170626 </controlfield><controlfield tag="007">t</controlfield><controlfield tag="008">170522s2017 |||| m||| 00||| eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)989516690</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV044321009</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-12</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1102</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-2174</subfield><subfield code="a">DE-91G</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 460d</subfield><subfield code="2">stub</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">DAT 050d</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Xiao, Huang</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Adversarial and secure machine learning</subfield><subfield code="c">Huang Xiao</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">München</subfield><subfield code="c">2017</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">xix, 133 Seiten</subfield><subfield code="b">Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Technische Universität München</subfield><subfield code="d">2017</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="o">urn:nbn:de:bvb:91-diss-20170505-1335448-1-0</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://mediatum.ub.tum.de/node?id=1335448</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2=" "><subfield code="u">https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20170505-1335448-1-0</subfield><subfield code="x">Resolving-System</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-029724478</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV044321009 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:49:41Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029724478 |
| oclc_num | 989516690 |
| open_access_boolean | 1 |
| owner | DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 DE-91G DE-BY-TUM |
| owner_facet | DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 DE-91G DE-BY-TUM |
| physical | xix, 133 Seiten Diagramme |
| psigel | ebook |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| record_format | marc |
| spelling | Xiao, Huang Verfasser aut Adversarial and secure machine learning Huang Xiao München 2017 xix, 133 Seiten Diagramme txt rdacontent n rdamedia nc rdacarrier Dissertation Technische Universität München 2017 (DE-588)4113937-9 Hochschulschrift gnd-content Erscheint auch als Online-Ausgabe urn:nbn:de:bvb:91-diss-20170505-1335448-1-0 https://mediatum.ub.tum.de/node?id=1335448 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20170505-1335448-1-0 Resolving-System |
| spellingShingle | Xiao, Huang Adversarial and secure machine learning |
| subject_GND | (DE-588)4113937-9 |
| title | Adversarial and secure machine learning |
| title_auth | Adversarial and secure machine learning |
| title_exact_search | Adversarial and secure machine learning |
| title_full | Adversarial and secure machine learning Huang Xiao |
| title_fullStr | Adversarial and secure machine learning Huang Xiao |
| title_full_unstemmed | Adversarial and secure machine learning Huang Xiao |
| title_short | Adversarial and secure machine learning |
| title_sort | adversarial and secure machine learning |
| topic_facet | Hochschulschrift |
| url | https://mediatum.ub.tum.de/node?id=1335448 https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20170505-1335448-1-0 |
| work_keys_str_mv | AT xiaohuang adversarialandsecuremachinelearning |