Francesco Pinto

36 papers A* 10A 1B 1Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MAC: Multi-Agent Constitution Learning. CoRR Rushil Thareja, Gautam Gupta, Francesco Pinto, Nils Lukas
2025	J	`jnl`	AutoRedTeamer: Autonomous Red Teaming with Lifelong Attack Integration. CoRR Andy Zhou, Kevin Wu, Francesco Pinto, Zhaorun Chen, Yi Zeng, Yu Yang, Shuang Yang, Sanmi Koyejo, James Zou, Bo Li
2025	A*	`conf`	Copyright-Protected Language Generation via Adaptive Model Fusion. ICLR Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang
2025	J	`jnl`	Do Role-Playing Agents Practice What They Preach? Belief-Behavior Consistency in LLM-Based Simulations of Human Trust. CoRR Amogh Mannekote, Adam Davies, Guohao Li, Kristy Elizabeth Boyer, ChengXiang Zhai, Bonnie J. Dorr, Francesco Pinto
2025	A*	`conf`	Focus On This, Not That! Steering LLMs with Adaptive Feature Specification. ICML Tom A. Lamb, Adam Davies, Alasdair Paren, Philip Torr, Francesco Pinto
2025	J	`jnl`	LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference. CoRR Jianhao Yuan, Fabio Pizzati, Francesco Pinto, Lars Kunze, Ivan Laptev, Paul Newman, Philip Torr, Daniele De Martini
2025	A*	`conf`	MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. ICLR 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.
2025	J	`jnl`	MMDT: Decoding the Trustworthiness and Safety of Multimodal Foundation Models. CoRR 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
2025	A*	`conf`	SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations. ICLR Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li
2025	A*	`conf`	Towards Certification of Uncertainty Calibration under Adversarial Attacks. ICLR Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip Torr, Adel Bibi
2025	J	`jnl`	VMDT: Decoding the Trustworthiness of Video Foundation Models. CoRR Yujin Potter, Zhun Wang, Nicholas Crispino, Kyle Montgomery, Alexander Xiong, Ethan Y. Chang, Francesco Pinto, Yuqi Chen, Rahul Gupta, Morteza Ziyadi, Christos Christodoulopoulos, Bo Li, Chenguang Wang, Dawn Song
2025	J	`jnl`	Where You Place the Norm Matters: From Prejudiced to Neutral Initializations. CoRR Emanuele Francazi, Francesco Pinto, Aurélien Lucchi, Marco Baity-Jesi
2024	J	`jnl`	As Firm As Their Foundations: Can open-sourced foundation models be used to create adversarial examples for downstream tasks? CoRR Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr
2024	A	`conf`	As Firm As Their Foundations: Creating Transferable Adversarial Examples Across Downstream Tasks with CLIP. BMVC Anjun Hu, Jindong Gu, Francesco Pinto, Konstantinos Kamnitsas, Philip Torr
2024	J	`jnl`	Copyright-Protected Language Generation via Adaptive Model Fusion. CoRR Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang
2024	A*	`conf`	Extracting Training Data From Document-Based VQA Models. ICML Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari
2024	J	`jnl`	Extracting Training Data from Document-Based VQA Models. CoRR Francesco Pinto, Nathalie Rauschmayr, Florian Tramèr, Philip Torr, Federico Tombari
2024	J	`jnl`	Focus On This, Not That! Steering LLMs With Adaptive Feature Specification. CoRR Tom A. Lamb, Adam Davies, Alasdair Paren, Philip H. S. Torr, Francesco Pinto
2024	A*	`conf`	Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models. NeurIPS Arshia Hemmat, Adam Davies, Tom A. Lamb, Jianhao Yuan, Philip Torr, Ashkan Khakzar, Francesco Pinto
2024	J	`jnl`	Hidden in Plain Sight: Evaluating Abstract Shape Recognition in Vision-Language Models. CoRR Arshia Hemmat, Adam Davies, Tom A. Lamb, Jianhao Yuan, Philip Torr, Ashkan Khakzar, Francesco Pinto
2024	A*	`conf`	Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image Generators. ICML Jianhao Yuan, Francesco Pinto, Adam Davies, Philip Torr
2024	—	`conf`	PILLAR: How to make semi-private learning more effective. SaTML Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal
2024	J	`jnl`	SafeWatch: An Efficient Safety-Policy Following Video Guardrail Model with Transparent Explanations. CoRR Zhaorun Chen, Francesco Pinto, Minzhou Pan, Bo Li
2024	J	`jnl`	Strong Copyright Protection for Language Models via Adaptive Model Fusion. CoRR Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang
2024	J	`jnl`	Towards Certification of Uncertainty Calibration under Adversarial Attacks. CoRR Cornelius Emde, Francesco Pinto, Thomas Lukasiewicz, Philip H. S. Torr, Adel Bibi
2023	J	`jnl`	PILLAR: How to make semi-private learning more effective. CoRR Francesco Pinto, Yaxi Hu, Fanny Yang, Amartya Sanyal
2023	A*	`conf`	Sample-Dependent Adaptive Temperature Scaling for Improved Calibration. AAAI Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
2022	—	`conf`	An Impartial Take to the CNN vs Transformer Robustness Contest. ECCV (13) Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania
2022	J	`jnl`	An Impartial Take to the CNN vs Transformer Robustness Contest. CoRR Francesco Pinto, Philip H. S. Torr, Puneet K. Dokania
2022	J	`jnl`	Not Just Pretty Pictures: Text-to-Image Generators Enable Interpretable Interventions for Robust Representations. CoRR Jianhao Yuan, Francesco Pinto, Adam Davies, Aarushi Gupta, Philip H. S. Torr
2022	J	`jnl`	RegMixup: Mixup as a Regularizer Can Surprisingly Improve Accuracy and Out Distribution Robustness. CoRR Francesco Pinto, Harry Yang, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
2022	J	`jnl`	Sample-dependent Adaptive Temperature Scaling for Improved Calibration. CoRR Tom Joy, Francesco Pinto, Ser-Nam Lim, Philip H. S. Torr, Puneet K. Dokania
2022	A*	`conf`	Using Mixup as a Regularizer Can Surprisingly Improve Accuracy & Out-of-Distribution Robustness. NeurIPS Francesco Pinto, Harry Yang, Ser Nam Lim, Philip H. S. Torr, Puneet K. Dokania
2020	B	`conf`	SECI-GAN: Semantic and Edge Completion for dynamic objects removal. ICPR Francesco Pinto, Andrea Romanoni, Matteo Matteucci, Philip H. S. Torr
2020	J	`jnl`	Spacecraft Collision Risk Assessment with Probabilistic Programming. CoRR Giacomo Acciarini, Francesco Pinto, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin
2020	J	`jnl`	Towards Automated Satellite Conjunction Management with Bayesian Deep Learning. CoRR Francesco Pinto, Giacomo Acciarini, Sascha Metz, Sarah Boufelja, Sylvester Kaczmarek, Klaus Merz, José A. Martinez-Heras, Francesca Letizia, Christopher Bridges, Atilim Günes Baydin