Mikel Rodriguez

According to our database, Mikel Rodriguez authored at least 24 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Ethics of Advanced AI Assistants.

Iason Gabriel, Arianna Manzini, Geoff Keeling, Lisa Anne Hendricks, Verena Rieser, Hasan Iqbal, Nenad Tomasev, Ira Ktena, Zachary Kenton, Mikel Rodriguez, Seliem El-Sayed, Sasha Brown, Canfer Akbulut, Andrew Trask, Edward Hughes, A. Stevie Bergman, Renee Shelby, Nahema Marchal, Conor Griffin, Juan Mateos-Garcia, Laura Weidinger, Winnie Street, Benjamin Lange, Alex Ingerman, Alison Lentz, Reed Enger, Andrew Barakat, Victoria Krakovna, John Oliver Siy, Zeb Kurth-Nelson, Amanda McCroskery, Vijay Bolina, Harry Law, Murray Shanahan, Lize Alberts, Borja Balle, Sarah de Haas, Yetunde Ibitoye, Allan Dafoe, Beth Goldberg, Sébastien Krier, Alexander Reese, Sims Witherspoon, Will Hawkins, Maribeth Rauh, Don Wallace, Matija Franklin, Josh A. Goldstein, Joel Lehman, Michael Klenk, Shannon Vallor, Courtney Biles, Meredith Ringel Morris, Helen King, Blaise Agüera y Arcas, William Isaac, James Manyika

CoRR, 2024

Holistic Safety and Responsibility Evaluations of Advanced AI Models.

Laura Weidinger, Joslyn Barnhart, Jenny Brennan, Christina Butterfield, Susie Young, Will Hawkins, Lisa Anne Hendricks, Ramona Comanescu, Oscar Chang, Mikel Rodriguez, Jennifer Beroshi, Dawn Bloxwich, Lev Proleev, Jilin Chen, Sebastian Farquhar, Lewis Ho, Iason Gabriel, Allan Dafoe, William Isaac

CoRR, 2024

Responsible Reporting for Frontier AI Development.

Noam Kolt, Markus Anderljung, Joslyn Barnhart, Asher Brass, Kevin Esvelt, Gillian K. Hadfield, Lennart Heim, Mikel Rodriguez, Jonas B. Sandbrink, Thomas Woodside

CoRR, 2024

2023

Adversarial Machine Learning and Cybersecurity: Risks, Challenges, and Legal Implications.

Micah Musser, Andrew Lohn, James X. Dempsey, Jonathan M. Spring, Ram Shankar Siva Kumar, Brenda Leong, Christina Liaghati, Cindy Martinez, Crystal D. Grant, Daniel Rohrer, Heather Frase, Jonathan Elliott, John Bansemer, Mikel Rodriguez, Mitt Regan, Rumman Chowdhury, Stefan Hermanek

CoRR, 2023

2021

Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks.

Marissa Dotter, Sherry Xie, Keith Manville, Josh Harguess, Colin Busho, Mikel Rodriguez

CoRR, 2021

A Fixed-Latency Architecture to Secure GOOSE and Sampled Value Messages in Substation Systems.

Mikel Rodriguez, Jesús Lázaro, Unai Bidarte, Jaime Jiménez, Armando Astarloa

IEEE Access, 2021

A Dynamic Thermal IR Display for Physical Adversarial Attacks.

Shiri Bendelac, Keith Manville, Josh Harguess, Mikel Rodriguez

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020

Secure Critical Traffic of the Electric Sector over Time-Sensitive Networking.

Leire Muguira, Jesús Lázaro, Sara Alonso, Armando Astarloa, Mikel Rodriguez

Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020

Synchronizing NTP Referenced SCADA Systems Interconnected by High-availability Networks.

Armando Astarloa, Mikel Rodriguez, Francisco Durán, Jaime Jiménez, Jesús Lázaro

Proceedings of the XXXV Conference on Design of Circuits and Integrated Systems, 2020

2018

System-on-Programmable-Chip AES-GCM implementation for wire-speed cryptography for SAS.

Mikel Rodriguez, Armando Astarloa, Jesús Lázaro, Unai Bidarte, Jaime Jimenez

Proceedings of the Conference on Design of Circuits and Integrated Systems, 2018

2017

Efficient video collection association using geometry-aware Bag-of-Iconics representations.

Ke Wang, Enrique Dunn, Mikel Rodriguez, Jan-Michael Frahm

IPSJ Trans. Comput. Vis. Appl., 2017

Cyber-Physical Production System Gateway Based on a Programmable SoC Platform.

Marcelo Urbina, Armando Astarloa, Jesús Lázaro, Unai Bidarte, Igor Villalta, Mikel Rodriguez

IEEE Access, 2017

The Analysis of High Density Crowds in Videos.

Mikel Rodriguez, Josef Sivic, Ivan Laptev

Proceedings of the Group and Crowd Behavior for Computer Vision, 1st Edition, 2017

2016

Contextualised learning-free three-dimensional body pose estimation from two-dimensional body features in monocular images.

Luis Unzueta, Nerea Aranjuelo, Jon Goenetxea, Mikel Rodriguez, María Teresa Linaza

IET Comput. Vis., 2016

Learning a Predictable and Generative Vector Representation for Objects.

Rohit Girdhar, David F. Fouhey, Mikel Rodriguez, Abhinav Gupta

Proceedings of the Computer Vision - ECCV 2016, 2016

Bringing 3D Models Together: Mining Video Liaisons in Crowdsourced Reconstructions.

Ke Wang, Enrique Dunn, Mikel Rodriguez, Jan-Michael Frahm

Proceedings of the Computer Vision - ACCV 2016, 2016

2015

A Multi-Modal 3D Capturing Platform for Learning and Preservation of Traditional Sports and Games.

François Destelle, Amin Ahmadi, Kieran Moran, Noel E. O'Connor, Nikolaos Zioulis, Anargyros Chatzitofis, Dimitrios Zarpalas, Petros Daras, Luis Unzueta, Jon Goenetxea, Mikel Rodriguez, María Teresa Linaza, Yvain Tisserand, Nadia Magnenat-Thalmann

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

2014

Viewpoint-dependent 3D human body posing for sports legacy recovery from images and video.

Luis Unzueta, Jon Goenetxea, Mikel Rodriguez, María Teresa Linaza

Proceedings of the 22nd European Signal Processing Conference, 2014

Capturing the Sporting Heroes of Our Past by Extracting 3D Movements from Legacy Video Content.

Jon Goenetxea, Luis Unzueta, María Teresa Linaza, Mikel Rodriguez, Noel E. O'Connor, Kieran Moran

Proceedings of the Digital Heritage. Progress in Cultural Heritaage: Documentation, Preservation, and Protection, 2014

2013

Representing Videos Using Mid-level Discriminative Patches.

Arpit Jain, Abhinav Gupta, Mikel Rodriguez, Larry S. Davis

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Personalized Multimedia Experiences in Technology Museums.

María Teresa Linaza, Ander García, Mikel Rodriguez

Proceedings of the Progress in Cultural Heritage Preservation, 2012

2011

Data-driven crowd analysis in videos.

Mikel Rodriguez, Josef Sivic, Ivan Laptev, Jean-Yves Audibert

Proceedings of the IEEE International Conference on Computer Vision, 2011

Density-aware person detection and tracking in crowds.

Mikel Rodriguez, Ivan Laptev, Josef Sivic, Jean-Yves Audibert

Proceedings of the IEEE International Conference on Computer Vision, 2011

2009

Tracking in unstructured crowded scenes.

Mikel Rodriguez, Saad Ali, Takeo Kanade

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009