Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Christian Wressnegger"'
Publikováno v:
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::954b3f64f5609d8a7bc93ccd030e57ec
https://doi.org/10.1109/wacv56688.2023.00393
https://doi.org/10.1109/wacv56688.2023.00393
Publikováno v:
2022 IEEE International Conference on Big Data (Big Data).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::975713ca00bbbc118831d84f74d14c27
https://doi.org/10.1109/bigdata55660.2022.10020758
https://doi.org/10.1109/bigdata55660.2022.10020758
Autor:
Nurullah Demir, Matteo Große-Kampmann, Tobias Urban, Christian Wressnegger, Thorsten Holz, Norbert Pohlmann
Publikováno v:
Proceedings of the ACM Web Conference 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6f77c562009fcea270ea05bace23d87
https://doi.org/10.1145/3485447.3512214
https://doi.org/10.1145/3485447.3512214
Autor:
Christian Wressnegger
Publikováno v:
it - Information Technology. 62:279-286
Detecting and fending off attacks on computer systems is an enduring problem in computer security. In light of a plethora of different threats and the growing automation used by attackers, we are in urgent need of more advanced methods for attack det
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86c5e8d11014591c7d0c9166083de146
https://doi.org/10.1515/itit-2020-0015
https://doi.org/10.1515/itit-2020-0015
Autor:
Niclas Kühnapfel, Stefan Preußler, Maximilian Noppel, Thomas Schneider, Konrad Rieck, Christian Wressnegger
Publikováno v:
Annual Computer Security Applications Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59a5836223660fd6d3bd613c0ef11fb6
https://doi.org/10.1145/3485832.3485911
https://doi.org/10.1145/3485832.3485911
Publikováno v:
WPES@CCS
The rigorous analysis of anonymous communication protocols and formal privacy goals have proven to be difficult to get right. Formal privacy notions as in the current state of the art based on indistinguishability games simplify analysis. Achieving t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a41484454f1041b3c7f851b280f584aa
https://doi.org/10.1145/3463676.3485605
https://doi.org/10.1145/3463676.3485605
Removing information from a machine learning model is a non-trivial task that requires to partially revert the training process. This task is unavoidable when sensitive data, such as credit card numbers or passwords, accidentally enter the model and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a79000377c9c4faa390cdfb1f4d64872
http://arxiv.org/abs/2108.11577
http://arxiv.org/abs/2108.11577
Autor:
Alexander Frickenstein, Walter Stechele, Christian Wressnegger, Sabine Kuhn, Anmol Singh, Nael Fasfous, Lukas Frickenstein, Naveen Shankar Nagaraja, Sreetama Sarkar, Qi Zhao, Christian Unger, Manoj Rohit Vemparala
Publikováno v:
CVPR Workshops
Efficiently deploying learning-based systems on embedded hardware is challenging for various reasons, two of which are considered in this paper: The model’s size and its robustness against attacks. Both need to be addressed even-handedly. We combin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df122fbc33b2615633b0fe3b68b584b7
https://doi.org/10.1109/cvprw53098.2021.00016
https://doi.org/10.1109/cvprw53098.2021.00016
Publikováno v:
EuroSec@EuroSys
When managing large malware collections, it is common practice to use short tags for grouping and organizing samples. For example, collected malware is often tagged according to its origin, family, functionality, or clustering. While these simple tag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db800c9b2a2ef96556b96338be1e5b12
https://doi.org/10.1145/3447852.3458719
https://doi.org/10.1145/3447852.3458719
Publikováno v:
EuroSec@EuroSys
For many, social networks have become the primary source of news, although the correctness of the provided information and its trustworthiness are often unclear. The investigations of the 2016 US presidential elections have brought the existence of e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5f50d888c5687b8ffc9d8534dba181c
https://doi.org/10.1145/3380786.3391399
https://doi.org/10.1145/3380786.3391399