Francesco Pinto

According to our database, Francesco Pinto authored at least 24 papers between 2020 and 2025.

Collaborative distances:

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

2025

Do Role-Playing Agents Practice What They Preach? Belief-Behavior Consistency in LLM-Based Simulations of Human Trust.

Amogh Mannekote, Adam Davies, Guohao Li, Kristy Elizabeth Boyer, ChengXiang Zhai, Bonnie J. Dorr, Francesco Pinto

CoRR, July, 2025

Where You Place the Norm Matters: From Prejudiced to Neutral Initializations.

Emanuele Francazi, Francesco Pinto, Aurélien Lucchi, Marco Baity-Jesi

CoRR, May, 2025

AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration.

Andy Zhou, Kevin Wu, Francesco Pinto, Zhaorun Chen, Yi Zeng, Yu Yang, Shuang Yang, Sanmi Koyejo, James Zou, Bo Li

CoRR, March, 2025

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models.

Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, Yu Gai, Zinan Lin, Dan Hendrycks, Bo Li, Dawn Song

CoRR, March, 2025

MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models.

Chejian Xu, Jiawei Zhang, Zhaorun Chen, Chulin Xie, Mintong Kang, Yujin Potter, Zhun Wang, Zhuowen Yuan, Alexander Xiong, Zidi Xiong, Chenhui Zhang, Lingzhi Yuan, Yi Zeng, Peiyang Xu, Chengquan Guo, Andy Zhou, Jeffrey Ziwei Tan, Xuandong Zhao, Francesco Pinto, Zhen Xiang, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Certification of Uncertainty Calibration under Adversarial Attacks.

Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations.

Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Copyright-Protected Language Generation via Adaptive Model Fusion.

Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models.

Arshia Hemmat, Adam Davies, Tom A. Lamb, Jianhao Yuan, Philip Torr, Ashkan Khakzar, Francesco Pinto

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP.

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

Proceedings of the 35th British Machine Vision Conference, 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