Joseph Scott

3 papers · 2020–2024 · 1 venue · 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🌱 Topic Pioneer 📈 Trend Setter

Venues

AAAI (3)

Top co-authors

Vijay Ganesh (3) Maysum Panju (2) Jaya Sriram Ganeshna (1) Piyush Jha (1) Sebastian J. Wetzel (1) Mudit Singh (1) Dhananjay Ashok (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Core AI (2) Learning Types · Machine Learning (2) Mathematics & Optimization (1) Reinforcement Learning (1) Architectures (1) Core Methods (1) Learning Types · Deep Learning (1) Methods (1) Optimization (1) Optimization & Theory (1)

Keywords

reinforcement learning (1) data augmentation (1) machine learning (1) loss function (1) vulnerability detection (1) symbolic regression (1) genetic algorithm (1) mutation operator (1) reinforcement learning agent (1) fuzz testing (1) symbolic expression (1) attack vector (1) grammar-based testing (1) symbolic learning (1) web security (1) auxiliary truth (1) logic solver (1) mathematical function (1) counterexample feedback (1) mathematical function learning (1)

Papers

BertRLFuzzer: A BERT and Reinforcement Learning Based Fuzzer (Student Abstract) AAAI 2024 Logic Guided Genetic Algorithms (Student Abstract) AAAI 2021 LGML: Logic Guided Machine Learning (Student Abstract) AAAI 2020