Blaas, Arno

12 publications

ICLR 2025 Controlling Language and Diffusion Models by Transporting Activations Pau Rodriguez, Arno Blaas, Michal Klein, Luca Zappella, Nicholas Apostoloff, Marco Cuturi, Xavier Suau

NeurIPS 2025 LinEAS: End-to-End Learning of Activation Steering with a Distributional Loss Pau Rodriguez, Michal Klein, Eleonora Gualdoni, Valentino Maiorca, Arno Blaas, Luca Zappella, Marco Cuturi, Xavier Suau

TMLR 2024 Interpreting CLIP: Insights on the Robustness to ImageNet Distribution Shifts Jonathan Crabbé, Pau Rodriguez, Vaishaal Shankar, Luca Zappella, Arno Blaas

ICLRW 2023 Considerations for Distribution Shift Robustness in Health Arno Blaas, Andrew Miller, Luca Zappella, Joern-Henrik Jacobsen, Christina Heinze-Deml

ICML 2023 DUET: 2D Structured and Approximately Equivariant Representations Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella

ICML 2023 The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning Borja Rodrı́guez Gálvez, Arno Blaas, Pau Rodriguez, Adam Golinski, Xavier Suau, Jason Ramapuram, Dan Busbridge, Luca Zappella

JMLR 2022 Adversarial Robustness Guarantees for Gaussian Processes Andrea Patane, Arno Blaas, Luca Laurenti, Luca Cardelli, Stephen Roberts, Marta Kwiatkowska

NeurIPS 2021 Adversarial Attacks on Graph Classifiers via Bayesian Optimisation Xingchen Wan, Henry Kenlay, Robin Ru, Arno Blaas, Michael A Osborne, Xiaowen Dong

ICMLW 2021 Attacking Graph Classification via Bayesian Optimisation Xingchen Wan, Henry Kenlay, Binxin Ru, Arno Blaas, Michael Osborne, Xiaowen Dong

NeurIPSW 2021 Challenges of Adversarial Image Augmentations Arno Blaas, Xavier Suau, Jason Ramapuram, Nicholas Apostoloff, Luca Zappella

AISTATS 2020 Adversarial Robustness Guarantees for Classification with Gaussian Processes Arno Blaas, Andrea Patane, Luca Laurenti, Luca Cardelli, Marta Kwiatkowska, Stephen Roberts

ICLR 2020 BayesOpt Adversarial Attack Binxin Ru, Adam Cobb, Arno Blaas, Yarin Gal