A review of homomorphic encryption and software tools for encrypted statistical machine learning. - Louis J. M. Aslett; Pedro M. Esperança; Chris C. Holmes (CoRR, 2015)

Encrypted statistical machine learning: new privacy preserving methods. - Louis J. M. Aslett; Pedro M. Esperança; Chris C. Holmes (CoRR, 2015)

Encrypted Accelerated Least Squares Regression. - Pedro M. Esperança; Louis J. M. Aslett; Chris C. Holmes (AISTATS, 2017)

MANAS: Multi-Agent Neural Architecture Search. - Fabio Maria Carlucci; Pedro M. Esperança; Marco Singh; Victor Gabillon; Antoine Yang; Hang Xu; Zewei Chen; Jun Wang 012 (CoRR, 2019)

NAS evaluation is frustratingly hard. - Antoine Yang; Pedro M. Esperança; Fabio Maria Carlucci (ICLR, 2020)

Neural Architecture Generator Optimization. - Robin Ru; Pedro M. Esperança; Fabio Maria Carlucci (NeurIPS, 2020)

Neural Architecture Generator Optimization. - Binxin Ru; Pedro M. Esperança; Fabio Maria Carlucci (CoRR, 2020)

Batch Group Normalization. - Xiao-Yun Zhou 001; Jiacheng Sun; Nanyang Ye 001; Xu Lan; Qijun Luo; Bo-Lin Lai; Pedro M. Esperança; Guang-Zhong Yang; Zhenguo Li (CoRR, 2020)

AUTOKD: Automatic Knowledge Distillation Into A Student Architecture Family. - Roy Henha Eyono; Fabio Maria Carlucci; Pedro M. Esperança; Binxin Ru; Philip H. S. Torr (CoRR, 2021)

Long-tail Recognition via Compositional Knowledge Transfer. - Sarah Parisot; Pedro M. Esperança; Steven McDonagh 001; Tamas J. Madarasz; Yongxin Yang; Zhenguo Li (CVPR, 2022)

On Redundancy and Diversity in Cell-based Neural Architecture Search. - Xingchen Wan; Binxin Ru; Pedro M. Esperança; Zhenguo Li (ICLR, 2022)

Approximate Neural Architecture Search via Operation Distribution Learning. - Xingchen Wan; Binxin Ru; Pedro M. Esperança; Fabio Maria Carlucci (WACV, 2022)

LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models. - Hayder Elesedy; Pedro M. Esperança; Silviu Vlad Oprea; Mete Ozay (EMNLP, 2024)

Manas: multi-agent neural architecture search. - Vasco Lopes; Fabio Maria Carlucci; Pedro M. Esperança; Marco Singh; Antoine Yang; Victor Gabillon; Hang Xu; Zewei Chen; Jun Wang 012 (Mach. Learn., 2024)