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ORCIDFrancesco Pinto
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2020 – today
- 2024
[c7]Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari:
Extracting Training Data From Document-Based VQA Models. ICML 2024- [c6]Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr:
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators. ICML 2024 - [c5]Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal:
PILLAR: How to make semi-private learning more effective. SaTML 2024: 110-139 - [i15]Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr:
As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks? CoRR abs/2403.12693 (2024) - [i14]Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi
:
Towards Certification of Uncertainty Calibration under Adversarial Attacks. CoRR abs/2405.13922 (2024) - [i13]Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari:
Extracting Training Data from Document-Based VQA Models. CoRR abs/2407.08707 (2024) - [i12]Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang:
Strong Copyright Protection for Language Models via Adaptive Model Fusion. CoRR abs/2407.20105 (2024) - [i11]Tom A. Lamb, Adam Davies, Alasdair Paren, Philip H. S. Torr, Francesco Pinto:
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification. CoRR abs/2410.22944 (2024) - [i10]Arshia Hemmat, Adam Davies, Tom A. Lamb, Jianhao Yuan, Philip Torr, Ashkan Khakzar, Francesco Pinto:
Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models. CoRR abs/2411.06287 (2024) - [i9]Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang:
Copyright-Protected Language Generation via Adaptive Model Fusion. CoRR abs/2412.06619 (2024) - [i8]Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li:
SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations. CoRR abs/2412.06878 (2024) - 2023
- [c4]Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania:
Sample-Dependent Adaptive Temperature Scaling for Improved Calibration. AAAI 2023: 14919-14926 - [i7]Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal:
PILLAR: How to make semi-private learning more effective. CoRR abs/2306.03962 (2023) - 2022
- [c3]Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania:
An Impartial Take to the CNN vs Transformer Robustness Contest. ECCV (13) 2022: 466-480 - [c2]Francesco Pinto, Harry Yang, Ser Nam Lim, Philip H. S. Torr, Puneet K. Dokania:
Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness. NeurIPS 2022 - [i6]Francesco Pinto, Harry Yang, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania:
RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness. CoRR abs/2206.14502 (2022) - [i5]Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania:
Sample-dependent Adaptive Temperature Scaling for Improved Calibration. CoRR abs/2207.06211 (2022) - [i4]Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania:
An Impartial Take to the CNN vs Transformer Robustness Contest. CoRR abs/2207.11347 (2022) - [i3]Jianhao Yuan, Francesco Pinto, Adam Davies, Aarushi Gupta, Philip H. S. Torr:
Not Just Pretty Pictures: Text-to-Image Generators Enable Interpretable Interventions for Robust Representations. CoRR abs/2212.11237 (2022) - 2020
- [c1]Francesco Pinto, Andrea Romanoni, Matteo Matteucci, Philip H. S. Torr:
SECI-GAN: Semantic and Edge Completion for dynamic objects removal. ICPR 2020: 10441-10448 - [i2]Giacomo Acciarini, Francesco Pinto, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin:
Spacecraft Collision Risk Assessment with Probabilistic Programming. CoRR abs/2012.10260 (2020) - [i1]Francesco Pinto, Giacomo Acciarini, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin:
Towards Automated Satellite Conjunction Management with Bayesian Deep Learning. CoRR abs/2012.12450 (2020)
Coauthor Index
aka: Philip H. S. Torr
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