Research output per year
Research output per year
Personal profile
Research interests (short)
My primary research interest is on the applications of deep reinforcement learning to cybersecurity.
Education/Academic qualification
Computer Science (Artificial Intelligence), Bachelor of Science, King's College London (KCL)
2020 → 2023
Award Date: 27 Jul 2023
External positions
Visiting Researcher, UCL University College London
Jan 2024 → …
Visiting Collaborator, Alan Turing Institute
1 Apr 2023 → …
Fingerprint
Dive into the research topics where Shae McFadden is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 12 Similar Profiles
-
DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
McFadden, S., Foley, M., D'Onghia, M., Hicks, C., Mavroudis, V., Paoletti, N. & Pierazzi, F., 14 Mar 2026, Proceedings of the AAAI Conference on Artificial Intelligence. 2 ed. AAAI Press, Vol. 40. p. 854-862 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence).Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile1 Citation (Scopus)16 Downloads (Pure) -
The Impact of Active Learning on Availability Data Poisoning for Android Malware Classifiers
McFadden, S., Kan, M., Cavallaro, L. & Pierazzi, F., 9 Dec 2024, Proceedings of the Annual Computer Security Applications Conference Workshops (ACSAC Workshops). 2024 ed. Honolulu, Hawaii, USA: IEEE, 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review
Open AccessFile2 Citations (Scopus)177 Downloads (Pure) -
Wendigo: Deep Reinforcement Learning for Denial-of-Service Query Discovery in GraphQL
McFadden, S., Maugeri, M., Hicks, C., Mavroudis, V. & Pierazzi, F., 4 Jul 2024, (E-pub ahead of print) In: Proceedings - 45th IEEE Symposium on Security and Privacy Workshops, SPW 2024. 2024, p. 68-75 8 p.Research output: Contribution to journal › Conference paper › peer-review
Open AccessFile8 Citations (Scopus)708 Downloads (Pure) -
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
McFadden, S., Foley, M., Bates, E., Tsingenopoulos, I., Vyas, S., Mavroudis, V., Hicks, C. & Pierazzi, F., 9 Feb 2026.Research output: Working paper/Preprint › Preprint
File18 Downloads (Pure) -
One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image
Shereen, E., Ristea, D., McFadden, S., Hasircioglu, B., Mavroudis, V. & Hicks, C., 28 Feb 2026, (Accepted/In press) In: Transactions on Machine Learning Research.Research output: Contribution to journal › Conference paper › peer-review
Open AccessFile1675 Downloads (Pure)
Prizes
-
Alan Fairbourn Memorial Prize
McFadden, S. (Recipient), 2023
Prize: Prize (including medals and awards)
-
Layton Science Research Award
McFadden, S. (Recipient), 2023
Prize: Prize (including medals and awards)