Brendon G. Anderson

According to our database, Brendon G. Anderson authored at least 18 papers between 2018 and 2024.

Collaborative distances:

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

2024

Mixing classifiers to alleviate the accuracy-robustness trade-off.

Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Transport of Algebraic Structure to Latent Embeddings.

Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Data-Driven Certification of Neural Networks With Random Input Noise.

Brendon G. Anderson, Somayeh Sojoudi

IEEE Trans. Control. Netw. Syst., March, 2023

Projected Randomized Smoothing for Certified Adversarial Robustness.

Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi

Trans. Mach. Learn. Res., 2023

Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity.

Brendon G. Anderson, Somayeh Sojoudi, Murat Arcak

CoRR, 2023

Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing.

Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi

CoRR, 2023

Asymmetric Certified Robustness via Feature-Convex Neural Networks.

Samuel Pfrommer, Brendon G. Anderson, Julien Piet, Somayeh Sojoudi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks.

Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models.

Brendon G. Anderson, Tanmay Gautam, Somayeh Sojoudi

CoRR, 2022

Certified Robustness via Locally Biased Randomized Smoothing.

Brendon G. Anderson, Somayeh Sojoudi

Proceedings of the Learning for Dynamics and Control Conference, 2022

A Sequential Greedy Approach for Training Implicit Deep Models.

Tanmay Gautam, Brendon G. Anderson, Somayeh Sojoudi, Laurent El Ghaoui

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Node-Variant Graph Filters in Graph Neural Networks.

Fernando Gama, Brendon G. Anderson, Somayeh Sojoudi

CoRR, 2021

Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks.

Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi

CoRR, 2021

2020

Data-Driven Assessment of Deep Neural Networks with Random Input Uncertainty.

Brendon G. Anderson, Somayeh Sojoudi

CoRR, 2020

Tightened Convex Relaxations for Neural Network Robustness Certification.

Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019

Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation.

Brendon G. Anderson, Somayeh Sojoudi

Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018

Quantifying Robotic Swarm Coverage.

Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi

Proceedings of the Informatics in Control, Automation and Robotics, 2018

Quantitative Assessment of Robotic Swarm Coverage.

Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi

Proceedings of the 15th International Conference on Informatics in Control, 2018