Cost-Based Goal Recognition for Path-Planning. - Peta Masters; Sebastian Sardiña (AAMAS, 2017)

Deceptive Path-Planning. - Peta Masters; Sebastian Sardiña (IJCAI, 2017)

Cost-Based Goal Recognition for the Path-Planning Domain. - Peta Masters; Sebastian Sardiña (IJCAI, 2018)

Goal Recognition for Rational and Irrational Agents. - Peta Masters; Sebastian Sardiña (AAMAS, 2019)

Cost-Based Goal Recognition in Navigational Domains. - Peta Masters; Sebastian Sardiña (J. Artif. Intell. Res., 2019)

Deceptive Reinforcement Learning for Privacy-Preserving Planning. - Zhengshang Liu; Yue Yang; Tim Miller 001; Peta Masters (AAMAS, 2021)

Extended Goal Recognition: A Planning-Based Model for Strategic Deception. - Peta Masters; Michael Kirley; Wally Smith (AAMAS, 2021)

What's the Context? Implicit and Explicit Assumptions in Model-Based Goal Recognition. - Peta Masters; Mor Vered (IJCAI, 2021)

Expecting the unexpected: Goal recognition for rational and irrational agents. - Peta Masters; Sebastian Sardiña (Artif. Intell., 2021)

Extended Goal Recognition: Lessons from Magic. - Peta Masters; Wally Smith; Michael Kirley (Frontiers Artif. Intell., 2021)

Domain-Independent Deceptive Planning. - Adrian Price; Ramon Fraga Pereira; Peta Masters; Mor Vered (AAMAS, 2023)

A Practical Taxonomy of TAS-related Usecase Scenarios. - Peta Masters; Victoria Young; Alan Chamberlain; Sachini S. Weerawardhana; Peter E. McKenna; Yang Lu; Liz Dowthwaite; Paul Luff; Luc Moreau 001 (TAS, 2023)

Trust Junk and Evil Knobs: Calibrating Trust in AI Visualization. - Emily Wall 001; Laura E. Matzen; Mennatallah El-Assady; Peta Masters; Helia Hosseinpour; Alex Endert; Rita Borgo; Polo Chau; Adam Perer; Harald T. Schupp; Hendrik Strobelt; Lace M. K. Padilla (PacificVis, 2024)

More Than Trust: Compliance in Instantaneous Human-robot Interactions. - Sachini S. Weerawardhana; Michael E. Akintunde; Peta Masters; Aaron P. J. Roberts; Genovefa Kefalidou; Yang Lu; Gerard Canal; Nicole Lehchevska; Elisabeth Halvorsen; Wei Wei 045; Luc Moreau 001 (RO-MAN, 2024)

Rethinking Explainable AI: Explanations can be Deceiving. - Peta Masters; Daniel Gallagher; Luc Moreau 001; Mor Vered (AAMAS, 2025)

Towards a Framework for Detecting Deceptive Contextual and Behavioural Signals. - Peta Masters; Gustav Kuhn; Paul Luff (SSP, 2025)