Short Paper: Empirical Analysis of Evasion and Poisoning Against Malware Data Drift Detection
0 Comments
by Mingyue Yang, David Lie and Nicolas Papernot
Reference:
Mingyue Yang, David Lie and Nicolas Papernot, “Short Paper: Empirical Analysis of Evasion and Poisoning
Against Malware Data Drift Detection”, In Proceedings of the 4th International Workshop on Security and
Artificial Intelligence (SECAI), co-located with the 31st
European Symposium on Research in Computer Security (ESORICS), 2026. (To appear, Full version at arXiv:2608.03642)
Against Malware Data Drift Detection”, In Proceedings of the 4th International Workshop on Security and
Artificial Intelligence (SECAI), co-located with the 31st
European Symposium on Research in Computer Security (ESORICS), 2026. (To appear, Full version at arXiv:2608.03642)
Bibtex Entry:
@inproceedings{syang:secai2026:malware_drift,
author = {Yang, Mingyue and Lie, David and Papernot, Nicolas},
title = {Short Paper: Empirical Analysis of Evasion and Poisoning
Against Malware Data Drift Detection},
booktitle = {Proceedings of the 4th International Workshop on Security and
Artificial Intelligence (SECAI), co-located with the 31st
European Symposium on Research in Computer Security (ESORICS)},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
address = {Rome, Italy},
year = {2026},
month = sep,
url = {https://security.csl.toronto.edu/wp-content/uploads/2026/08/syang_secai2026_malware_drift.pdf},
note = {To appear, Full version at \href{https://arxiv.org/abs/2608.03642}{arXiv:2608.03642}},
comment = {To appear, Full version at <a href="https://arxiv.org/abs/2608.03642">arXiv:2608.03642</a>}
}