Francesco Pinto

According to our database, Francesco Pinto authored at least 15 papers between 2020 and 2024.

Collaborative distances:

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

2024

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

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

CoRR, 2024

Strong Copyright Protection for Language Models via Adaptive Model Fusion.

Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang

CoRR, 2024

Towards Certification of Uncertainty Calibration under Adversarial Attacks.

Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi

CoRR, 2024

As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks?

Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr

CoRR, 2024

PILLAR: How to make semi-private learning more effective.

Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators.

Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Extracting Training Data From Document-Based VQA Models.

Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Sample-Dependent Adaptive Temperature Scaling for Improved Calibration.

Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Not Just Pretty Pictures: Text-to-Image Generators Enable Interpretable Interventions for Robust Representations.

Jianhao Yuan, Francesco Pinto, Adam Davies, Aarushi Gupta, Philip H. S. Torr

CoRR, 2022

RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness.

Francesco Pinto, Harry Yang, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania

CoRR, 2022

Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness.

Francesco Pinto, Harry Yang, Ser Nam Lim, Philip H. S. Torr, Puneet K. Dokania

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

An Impartial Take to the CNN vs Transformer Robustness Contest.

Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania

Proceedings of the Computer Vision - ECCV 2022, 2022

2020

Towards Automated Satellite Conjunction Management with Bayesian Deep Learning.

Francesco Pinto, Giacomo Acciarini, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin

CoRR, 2020

Spacecraft Collision Risk Assessment with Probabilistic Programming.

Giacomo Acciarini, Francesco Pinto, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin

CoRR, 2020

SECI-GAN: Semantic and Edge Completion for dynamic objects removal.

Francesco Pinto, Andrea Romanoni, Matteo Matteucci, Philip H. S. Torr

Proceedings of the 25th International Conference on Pattern Recognition, 2020