Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Hochschulschrift/Dissertation Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
München
2021
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| Schlagwörter: | |
| Links: | http://mediatum.ub.tum.de/?id=1632171 https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20220627-1632171-1-8 |
| Umfang: | 1 Online-Ressource |
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| spellingShingle | Brunner, Thomas Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks |
| subject_GND | (DE-588)4113937-9 |
| title | Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks |
| title_auth | Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks |
| title_exact_search | Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks |
| title_full | Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks Thomas Brunner |
| title_fullStr | Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks Thomas Brunner |
| title_full_unstemmed | Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks Thomas Brunner |
| title_short | Evaluating the Robustness of Image Classifiers With Adaptive Black-Box Adversarial Attacks |
| title_sort | evaluating the robustness of image classifiers with adaptive black box adversarial attacks |
| topic_facet | Hochschulschrift |
| url | http://mediatum.ub.tum.de/?id=1632171 https://nbn-resolving.org/urn:nbn:de:bvb:91-diss-20220627-1632171-1-8 |
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