Training to Identify Phishing Emails Generated by Humans and LLMs
Tyler Malloy, Ferriera Maria, Fang Fei, Gonzalez. Cleotilde, "Training to Identify Phishing Emails Generated by Humans and LLMs." in preperation. Computers and Human Behavior, 2024.
Curriculum Vitae
Education
- Ph.D in Cognitive Science, Rensselaer Polytechnic Institute, 2022
- M.S. in Cognitive Science, Rensselaer Polytechnic Institute, 2020
- B.S. in Cognitive Systems and Philosophy, University of British Columbia, 2018
Work experience
- 2022 - Current: Postdoctoral Researcher
- Carnegie Mellon University
- Department of Social and Decision Sciences
- Supervisor: Cleotilde Gonzalez
- 2019 - 2022: External Researcher
- IBM Research AI
- Reinforcement Learning Group
- Supervisor: Tim Klinger and Gerald Tesauro
- 2018 - 2022: Research Assistant
- Rensselaer Polytechnic Institute
- Cognitive Science Department
- Supervisor: Chris R. Sims
- 2017 - 2018: Research Assistant/Volunteer
- University of British Columbia
- Sensory Perception & Interaction Research Group (Karon MacLean)
- Forestry Department (Saeed Ghafghazi)
- School of Population and Public Health (Peter Danielson)
- 2016: Research Lab Programmer
- Institute for Quantum Optics and Quantum Information (Rainer Blatt)
- University of Innsbruck (Tracy Northup)
Publications
Experimental Evaluation of Cognitive Agents for Collaboration in Human-Autonomy Cyber Defense Teams
Yinuo Du, Baptiste Prebot, Tyler Malloy, Fei Fang, Gonzalez. Cleotilde, "Experimental Evaluation of Cognitive Agents for Collaboration in Human-Autonomy Cyber Defense Teams." in preperation. Computers and Human Behavior, 2024.
Efficient Visual Representations in Learning and Decision Making
Tyler Malloy, Chris Sims, "Efficient Visual Representations in Learning and Decision Making." in press. Psychological Review, 2024.
Applying Generative Artificial Intelligence to Cognitive Models of Decision Making
Tyler Malloy, Cleotilde Gonzalez, "Applying Generative Artificial Intelligence to Cognitive Models of Decision Making." Frontiers in Psychology, 2024.
A Cyber-War Between Bots: Cognitive Attackers are More Challenging for Defenders than Strategic Attackers
Yinuo Du, Baptiste Prebot, Tyler Malloy, Gonzalez. Cleotilde, "A Cyber-War Between Bots: Cognitive Attackers are More Challenging for Defenders than Strategic Attackers." under review. ACM Transactions on Social Computing, 2024.
Learning to Defend by Attacking (and Vice-Versa): Transfer Learning in Cyber-Security Games
Tyler Malloy, Gonzalez. Cleotilde, "Learning to Defend by Attacking (and Vice-Versa): Transfer Learning in Cyber-Security Games." In the proceedings of IEEE European Symposium on Security and Privacy Workshop Series, 2023.
Generative Environment-Representation Instance-Based Learning: A Cognitive Model
Tyler Malloy, Du Yinuo, Fang Fei, Gonzalez. Cleotilde, "Generative Environment-Representation Instance-Based Learning: A Cognitive Model." In the proceedings of AAAI Symposium on Integration of Cognitive Architectures and Generative Models, 2023.
Accounting for Transfer of Learning in Human Behavior Models
Tyler Malloy, Du Yinuo, Fang Fei, Gonzalez Cleotilde, "Accounting for Transfer of Learning in Human Behavior Models." In the proceedings of Human Computation and Crowdsourcing, 2023.
Resource-Rational Cognitive Modelling: An Information-Theoretic Approach
Tyler Malloy, "Resource-Rational Cognitive Modelling: An Information-Theoretic Approach." Rensselaer Polytechnic Institute, 2022.
Modeling Human Reinforcement Learning with Disentangled Visual Representations
Tyler Malloy, Tim Klinger, Chris Sims, "Modeling Human Reinforcement Learning with Disentangled Visual Representations." In the proceedings of Reinforcement Learning and Decision Making, 2022.
Learning in Factored Domains with Information-Constrained Visual Representations
Tyler Malloy, Chris Sims, Tim Klinger, Matthew Riemer, Miao Liu, Gerald Tesauro, "Learning in Factored Domains with Information-Constrained Visual Representations." In the proceedings of NeurIPS 2022 Workshop on Information-Theoretic Principles in Cognitive Systems, 2022.
A Beta-Variational Auto-Encoder Model of Human Visual Representation Formation in Utility-Based Learning
Tyler Malloy, Chris Sims, "A Beta-Variational Auto-Encoder Model of Human Visual Representation Formation in Utility-Based Learning." Journal of Vision, 2022.
RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract)
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris Sims, "RL Generalization in a Theory of Mind Game Through a Sleep Metaphor (Student Abstract)." In the proceedings of AAAI Student Abstract Workshop, 2021.
Modelling Visual Decision Making Using a Variational Autoencoder
Tyler Malloy, Chris Sims, "Modelling Visual Decision Making Using a Variational Autoencoder." In the proceedings of Proceedings of the 19th International Conference on Cognitive Modelling, 2021.
Modeling Capacity-Limited Decision Making Using a Variational Autoencoder
Tyler Malloy, Tim Klinger, Miao Liu, Gerald Tesauro, Matthew Riemer, Chris Sims, "Modeling Capacity-Limited Decision Making Using a Variational Autoencoder." In the proceedings of Proceedings of the Annual Meeting of the Cognitive Science Society, 2021.
Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games
Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris Sims, "Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games." In the proceedings of AAAI Reinforcement Learning in Games Workshop, 2021.
Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games
Tyler Malloy, Chris Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, "Capacity-Limited Decentralized Actor-Critic for Multi-Agent Games." In the proceedings of IEEE Conference on Games, 2021.
Modelling Learning and Decision Making Under Information Processing Constraints
Tyler Malloy, "Modelling Learning and Decision Making Under Information Processing Constraints." Rensselaer Polytechnic Institute, 2020.
Modelling Human Information Processing Limitations in Learning Tasks with Reinforcement Learning
Tyler Malloy, Chris Sims, "Modelling Human Information Processing Limitations in Learning Tasks with Reinforcement Learning." In the proceedings of Proceedings of the 18th International Conference on Cognitive Modelling, 2020.
Deep RL with information constrained policies: Generalization in continuous control
Tyler Malloy, Chris Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, "Deep RL with information constrained policies: Generalization in continuous control." arXiv preprint arXiv:2010.04646, 2020.