A context-aware, info-bead and fuzzy inference approach to notification management. - Kieran Fraser; Bilal Yousuf; Owen Conlan (UEMCON, 2016)

Synthesis & Evaluation of a Mobile Notification Dataset. - Kieran Fraser; Bilal Yousuf; Owen Conlan (UMAP (Adjunct Publication), 2017)

A User Modeling Shared Challenge Proposal. - Owen Conlan; Kieran Fraser; Liadh Kelly; Bilal Yousuf (CLEF, 2019)

A Reinforcement Learning and Synthetic Data Approach to Mobile Notification Management. - Rowan Sutton; Kieran Fraser; Owen Conlan (MoMM, 2019)

Scrutable and Persuasive Push-Notifications. - Kieran Fraser; Bilal Yousuf; Owen Conlan (PERSUASIVE, 2019)

Generation and Evaluation of Personalised Push-Notifications. - Kieran Fraser; Bilal Yousuf; Owen Conlan (UMAP (Adjunct Publication), 2019)

Enticing notification text & the impact on engagement. - Kieran Fraser; Owen Conlan (UbiComp/ISWC Adjunct, 2020)

Machine Learning Approach to Manage Adaptive Push Notifications for Improving User Experience. - Adithya Madhusoodanan; Anand Kumar; Kieran Fraser; Bilal Yousuf (MobiQuitous, 2020)

Now, Later, Never: A Study of Urgency in Mobile Push-Notifications. - Beatriz Esteves; Kieran Fraser; Shridhar Kulkarni; Owen Conlan; Víctor Rodríguez-Doncel (MoMM, 2022)

Classification and Impact of Call-to-Actions in Push-Notifications. - Sam Walsh; Kieran Fraser; Owen Conlan (MoMM, 2022)

Extracting and Understanding Call-to-actions of Push-Notifications. - Beatriz Esteves; Kieran Fraser; Shridhar Kulkarni; Owen Conlan; Víctor Rodríguez-Doncel (NLDB, 2022)

MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks. - Giandomenico Cornacchia; Giulio Zizzo; Kieran Fraser; Muhammad Zaid Hameed; Ambrish Rawat; Mark Purcell (AIES (1), 2024)

AI-driven Workload Management in Meta OS. - Liubov Nedoshivina; Killian Levacher; Kieran Fraser; Anisa Halimi; Stefano Braghin (MECC@EuroSys, 2024)

Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI. - Ambrish Rawat; Stefan Schoepf; Giulio Zizzo; Giandomenico Cornacchia; Muhammad Zaid Hameed; Kieran Fraser; Erik Miehling; Beat Buesser; Elizabeth M. Daly; Mark Purcell; Prasanna Sattigeri; Pin-Yu Chen; et al. (CoRR, 2024)

Granite Guardian. - Inkit Padhi; Manish Nagireddy; Giandomenico Cornacchia; Subhajit Chaudhury; Tejaswini Pedapati; Pierre L. Dognin; Keerthiram Murugesan; Erik Miehling; Martin Santillan Cooper; Kieran Fraser; Giulio Zizzo; Muhammad Zaid Hameed; et al. (CoRR, 2024)

Granite Guardian: Comprehensive LLM Safeguarding. - Inkit Padhi; Manish Nagireddy; Giandomenico Cornacchia; Subhajit Chaudhury; Tejaswini Pedapati; Pierre L. Dognin; Keerthiram Murugesan; Erik Miehling; Martín Santillán Cooper; Kieran Fraser; Giulio Zizzo; Muhammad Zaid Hameed; et al. (NAACL (Industry Track), 2025)

Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs. - Giulio Zizzo; Giandomenico Cornacchia; Kieran Fraser; Muhammad Zaid Hameed; Ambrish Rawat; Beat Buesser; Mark Purcell; Pin-Yu Chen; Prasanna Sattigeri; Kush R. Varshney (CoRR, 2025)

MAD-MAX: Modular And Diverse Malicious Attack MiXtures for Automated LLM Red Teaming. - Stefan Schoepf; Muhammad Zaid Hameed; Ambrish Rawat; Kieran Fraser; Giulio Zizzo; Giandomenico Cornacchia; Mark Purcell (CoRR, 2025)

In-Context Bias Propagation in LLM-Based Tabular Data Generation. - Pol G. Recasens; Alberto Gutierrez; Jordi Torres; Josep Lluís Berral; Anisa Halimi; Kieran Fraser (CoRR, 2025)