Francisco Eiras

32 papers A* 7A 2Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Do as I do (Safely): Mitigating Task-Specific Fine-tuning Risks in Large Language Models. ICLR Francisco Eiras, Aleksandar Petrov, Philip Torr, M. Pawan Kumar, Adel Bibi
2025	A*	`conf`	Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges. ICLR Francisco Eiras, Eliott Zemour, Eric Lin, Vaikkunth Mugunthan
2025	J	`jnl`	Know Thy Judge: On the Robustness Meta-Evaluation of LLM Safety Judges. CoRR Francisco Eiras, Eliott Zemour, Eric Lin, Vaikkunth Mugunthan
2025	J	`jnl`	Shallow Robustness, Deep Vulnerabilities: Multi-Turn Evaluation of Medical LLMs. CoRR Blazej Manczak, Eric Lin, Francisco Eiras, James O' Neill, Vaikkunth Mugunthan
2025	J	`jnl`	The Singapore Consensus on Global AI Safety Research Priorities. CoRR Yoshua Bengio, Tegan Maharaj, Luke Ong, Stuart Russell, Dawn Song, Max Tegmark, Lan Xue, Ya-Qin Zhang, Stephen Casper, Wan Sie Lee, Sören Mindermann, Vanessa Wilfred, Vidhisha Balachandran, Fazl Barez, Michael Belinsky, Imane Bello, Malo Bourgon, Mark Brakel, Siméon Campos, Duncan Cass-Beggs, Jiahao Chen, Rumman Chowdhury, Kuan Chua Seah, Jeff Clune, Juntao Dai, Agnès Delaborde, Nouha Dziri, Francisco Eiras, Joshua Engels, Jinyu Fan, Adam Gleave, Noah Goodman, Fynn Heide, Johannes Heidecke, Dan Hendrycks, Cyrus Hodes, Bryan Low Kian Hsiang, Minlie Huang, Sami Jawhar, Wang Jingyu, Adam Tauman Kalai, Meindert Kamphuis, Mohan S. Kankanhalli, Subhash Kantamneni, Mathias Bonde Kirk, Thomas Kwa, Jeffrey Ladish, Kwok-Yan Lam, Wan Lee Sie, Taewhi Lee, Xiaojian Li, Jiajun Liu, Chaochao Lu, Yifan Mai, Richard Mallah, Julian Michael, Nick Moës, Simon Möller, Kihyuk Nam, Kwan Yee Ng, Mark Nitzberg, Besmira Nushi, Seán Ó hÉigeartaigh, Alejandro Ortega, Pierre Peigné, James Petrie, Benjamin Prud'homme, Reihaneh Rabbany, Nayat Sánchez-Pi, Sarah Schwettmann, Buck Shlegeris, Saad Siddiqui, Aradhana Sinha, Martín Soto, Cheston Tan, Dong Ting, William-Chandra Tjhi, Robert Trager, Brian Tse, Anthony Tung K. H., John Willes, Denise Wong, Wei Xu, Rongwu Xu, Yi Zeng, HongJiang Zhang, Djordje Zikelic
2024	A*	`conf`	Efficient Error Certification for Physics-Informed Neural Networks. ICML Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy Dj Dvijotham, Philip Torr, M. Pawan Kumar
2024	J	`jnl`	Mimicking User Data: On Mitigating Fine-Tuning Risks in Closed Large Language Models. CoRR Francisco Eiras, Aleksandar Petrov, Philip H. S. Torr, M. Pawan Kumar, Adel Bibi
2024	J	`jnl`	Near to Mid-term Risks and Opportunities of Open Source Generative AI. CoRR Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
2024	A*	`conf`	Position: Near to Mid-term Risks and Opportunities of Open-Source Generative AI. ICML Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan A. Nolazco-Flores, Lori Landay, Matthew Thomas Jackson, Paul Röttger, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
2024	J	`jnl`	Risks and Opportunities of Open-Source Generative AI. CoRR Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schröder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Aaron Purewal, Botos Csaba, Fabro Steibel, Fazel Keshtkar, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial, Juan Arturo Nolazco, Lori Landay, Matthew Thomas Jackson, Philip H. S. Torr, Trevor Darrell, Yong Suk Lee, Jakob N. Foerster
2024	—	`conf`	Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. ECCV Workshops (10) Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania
2023	A*	`conf`	Certifying Ensembles: A General Certification Theory with S-Lipschitzness. ICML Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi
2023	J	`jnl`	Certifying Ensembles: A General Certification Theory with S-Lipschitzness. CoRR Aleksandar Petrov, Francisco Eiras, Amartya Sanyal, Philip H. S. Torr, Adel Bibi
2023	J	`jnl`	Faithful Knowledge Distillation. CoRR Tom A. Lamb, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, M. Pawan Kumar, Philip H. S. Torr, Francisco Eiras
2023	J	`jnl`	Provably Correct Physics-Informed Neural Networks. CoRR Francisco Eiras, Adel Bibi, Rudy Bunel, Krishnamurthy (Dj) Dvijotham, Philip H. S. Torr, M. Pawan Kumar
2023	J	`jnl`	Segment, Select, Correct: A Framework for Weakly-Supervised Referring Segmentation. CoRR Francisco Eiras, Kemal Oksuz, Adel Bibi, Philip H. S. Torr, Puneet K. Dokania
2022	J	`jnl`	A Two-Stage Optimization-Based Motion Planner for Safe Urban Driving. IEEE Trans. Robotics Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy
2022	J	`jnl`	ANCER: Anisotropic Certification via Sample-wise Volume Maximization. Trans. Mach. Learn. Res. Francisco Eiras, Motasem Alfarra, Philip H. S. Torr, M. Pawan Kumar, Puneet K. Dokania, Bernard Ghanem, Adel Bibi
2021	J	`jnl`	ANCER: Anisotropic Certification via Sample-wise Volume Maximization. CoRR Francisco Eiras, Motasem Alfarra, M. Pawan Kumar, Philip H. S. Torr, Puneet K. Dokania, Bernard Ghanem, Adel Bibi
2021	A	`conf`	Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. IROS Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht
2021	J	`jnl`	Interpretable Goal Recognition in the Presence of Occluded Factors for Autonomous Vehicles. CoRR Josiah P. Hanna, Arrasy Rahman, Elliot Fosong, Francisco Eiras, Mihai Dobre, John Redford, Subramanian Ramamoorthy, Stefano V. Albrecht
2021	A*	`conf`	Interpretable Goal-based Prediction and Planning for Autonomous Driving. ICRA Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Balint Gyevnar, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy
2021	A	`conf`	PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. IROS Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy
2020	J	`jnl`	A Two-Stage Optimization Approach to Safe-by-Design Planning for Autonomous Driving. CoRR Francisco Eiras, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy
2020	J	`jnl`	Integrating Planning and Interpretable Goal Recognition for Autonomous Driving. CoRR Stefano V. Albrecht, Cillian Brewitt, John Wilhelm, Francisco Eiras, Mihai Dobre, Subramanian Ramamoorthy
2020	J	`jnl`	PILOT: Efficient Planning by Imitation Learning and Optimisation for Safe Autonomous Driving. CoRR Henry Pulver, Francisco Eiras, Ludovico Carozza, Majd Hawasly, Stefano V. Albrecht, Subramanian Ramamoorthy
2020	—	`conf`	PaRoT: A Practical Framework for Robust Deep Neural Network Training. NFM Edward W. Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside
2020	J	`jnl`	PaRoT: A Practical Framework for Robust Deep Neural Network Training. CoRR Edward W. Ayers, Francisco Eiras, Majd Hawasly, Iain Whiteside
2019	—	`conf`	Correct-by-Construction Advanced Driver Assistance Systems Based on a Cognitive Architecture. CAVS Francisco Eiras, Morteza Lahijanian, Marta Kwiatkowska
2019	J	`jnl`	Correct-by-Construction Advanced Driver Assistance Systems based on a Cognitive Architecture. CoRR Francisco Eiras, Morteza Lahijanian, Marta Kwiatkowska
2018	A*	`conf`	Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras. CVPR Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam
2018	J	`jnl`	Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras. CoRR Pedro Miraldo, Francisco Eiras, Srikumar Ramalingam