Myles Foley

3 papers · 2023–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

AAAI (2) ACL (1)

Top co-authors

Giulio Zizzo (1) Gabriele Picco (1) Taesung Lee (1) Shae McFadden (1) Vasilios Mavroudis (1) Ambrish Rawat (1) Mario D'Onghia (1) Chris Hicks (1) Fabio Pierazzi (1) Yufang Hou (1)

Research topics

Artificial Intelligence (2) Machine Learning (2) Reinforcement Learning (2) Core AI (2) Methods (2) Deep Learning (1) Natural Language Processing (1) Application Areas (1) Core Methods (1) Learning Types (1) Resources & Methods (1)

Keywords

deep reinforcement learning (2) active learning (1) policy learning (1) malware detection (1) pre-trained model (1) sample rejection (1) large language model (1) api fuzzing (1) security testing (1) model theft (1) model attribution (1) android malware (1) model theft detection (1) transformer module (1) concept drift (1) rest api testing (1)

Papers

DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift AAAI 2026 APIRL: Deep Reinforcement Learning for REST API Fuzzing AAAI 2025 Matching Pairs: Attributing Fine-Tuned Models to their Pre-Trained Large Language Models ACL 2023