Shae McFadden
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
4
Venues
4
Active years
2023–2026
Best venue rank
A*
Where they publish
Papers
4 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift. | Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, Fabio Pierazzi |
| 2024 | ACSAC | The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers. | Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi |
| 2024 | SP | WENDIGO: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL. | Shae McFadden, Marcello Maugeri, Chris Hicks, Vasilios Mavroudis, Fabio Pierazzi |
| 2023 | CCS | Poster: RPAL-Recovering Malware Classifiers from Data Poisoning using Active Learning. | Shae McFadden, Zeliang Kan, Lorenzo Cavallaro, Fabio Pierazzi |