Alasdair Paren

According to our database, Alasdair Paren authored at least 14 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

OMNI-LEAK: Orchestrator Multi-Agent Network Induced Data Leakage.

Akshat Naik, Jay Culligan, Yarin Gal, Philip Torr, Rahaf Aljundi, Alasdair Paren, Adel Bibi

CoRR, February, 2026

2025

ToolTweak: An Attack on Tool Selection in LLM-based Agents.

Jonathan Sneh, Ruomei Yan, Jialin Yu, Philip Torr, Yarin Gal, Sunando Sengupta, Eric Sommerlade, Alasdair Paren, Adel Bibi

CoRR, October, 2025

BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models.

Thierry Blankenstein, Jialin Yu, Zixuan Li, Vassilis Plachouras, Sunando Sengupta, Philip Torr, Yarin Gal, Alasdair Paren, Adel Bibi

CoRR, October, 2025

FORCE: Transferable Visual Jailbreaking Attacks via Feature Over-Reliance CorrEction.

Runqi Lin, Alasdair Paren, Suqin Yuan, Muyang Li, Philip Torr, Adel Bibi, Tongliang Liu

CoRR, September, 2025

Attacking Multimodal OS Agents with Malicious Image Patches.

Lukas Aichberger, Alasdair Paren, Yarin Gal, Philip Torr, Adel Bibi

CoRR, March, 2025

Shh, don't say that! Domain Certification in LLMs.

Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Kayser, Tom Rainforth, Thomas Lukasiewicz, Bernard Ghanem, Philip H. S. Torr, Adel Bibi

CoRR, February, 2025

Focus On This, Not That! Steering LLMs with Adaptive Feature Specification.

Tom A. Lamb, Adam Davies, Alasdair Paren, Philip Torr, Francesco Pinto

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Shh, don't say that! Domain Certification in LLMs.

Cornelius Emde, Alasdair Paren, Preetham Arvind, Maxime Guillaume Kayser, Tom Rainforth, Thomas Lukasiewicz, Philip Torr, Adel Bibi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Enhancing Neural Network Interpretability with Feature-Aligned Sparse Autoencoders.

Luke Marks, Alasdair Paren, David Krueger, Fazl Barez

CoRR, 2024

Universal In-Context Approximation By Prompting Fully Recurrent Models.

Aleksandar Petrov, Tom A. Lamb, Alasdair Paren, Philip Torr, Adel Bibi

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Faking Interpolation Until You Make It.

Alasdair Paren, Rudra P. K. Poudel, M. Pawan Kumar

Trans. Mach. Learn. Res., 2022

A Stochastic Bundle Method for Interpolation.

Alasdair Paren, Leonard Berrada, Rudra P. K. Poudel, M. Pawan Kumar

J. Mach. Learn. Res., 2022

A Stochastic Bundle Method for Interpolating Networks.

Alasdair Paren, Leonard Berrada, Rudra P. K. Poudel, M. Pawan Kumar

CoRR, 2022

Training Binarized Neural Networks the Easy Way.

Alasdair Paren, Rudra P. K. Poudel

Proceedings of the 33rd British Machine Vision Conference 2022, 2022