Brendon G. Anderson

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 26

Top Topics

Convex Relaxation

Confusion Matrix

Global Optimality

Top Venues

IEEE Trans. Control. Netw. Syst.

Publications

Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi
Mixing classifiers to alleviate the accuracy-robustness trade-off. L4DC (2024)
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
Transport of Algebraic Structure to Latent Embeddings. CoRR (2024)
Yatong Bai, Brendon G. Anderson, Aerin Kim, Somayeh Sojoudi
Improving the Accuracy-Robustness Trade-off of Classifiers via Adaptive Smoothing. CoRR (2023)
Samuel Pfrommer, Brendon G. Anderson, Julien Piet, Somayeh Sojoudi
Asymmetric Certified Robustness via Feature-Convex Neural Networks. CoRR (2023)
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
Projected Randomized Smoothing for Certified Adversarial Robustness. CoRR (2023)
Brendon G. Anderson, Somayeh Sojoudi
Data-Driven Certification of Neural Networks With Random Input Noise. IEEE Trans. Control. Netw. Syst. 10 (1) (2023)
Samuel Pfrommer, Brendon G. Anderson, Julien Piet, Somayeh Sojoudi
Asymmetric Certified Robustness via Feature-Convex Neural Networks. NeurIPS (2023)
Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks. CoRR (2023)
Samuel Pfrommer, Brendon G. Anderson, Somayeh Sojoudi
Projected Randomized Smoothing for Certified Adversarial Robustness. Trans. Mach. Learn. Res. 2023 (2023)
Yatong Bai, Brendon G. Anderson, Somayeh Sojoudi
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off. CoRR (2023)
Brendon G. Anderson, Samuel Pfrommer, Somayeh Sojoudi
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks. CDC (2023)
Brendon G. Anderson, Somayeh Sojoudi, Murat Arcak
Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity. CoRR (2023)
Brendon G. Anderson, Somayeh Sojoudi
Certified Robustness via Locally Biased Randomized Smoothing. L4DC (2022)
Tanmay Gautam, Brendon G. Anderson, Somayeh Sojoudi, Laurent El Ghaoui
A Sequential Greedy Approach for Training Implicit Deep Models. CDC (2022)
Brendon G. Anderson, Tanmay Gautam, Somayeh Sojoudi
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models. CoRR (2022)
Fernando Gama, Brendon G. Anderson, Somayeh Sojoudi
Node-Variant Graph Filters in Graph Neural Networks. CoRR (2021)
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
Partition-Based Convex Relaxations for Certifying the Robustness of ReLU Neural Networks. CoRR (2021)
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
Tightened Convex Relaxations for Neural Network Robustness Certification. CDC (2020)
Brendon G. Anderson, Somayeh Sojoudi
Data-Driven Assessment of Deep Neural Networks with Random Input Uncertainty. CoRR (2020)
Brendon G. Anderson, Ziye Ma, Jingqi Li, Somayeh Sojoudi
Tightened Convex Relaxations for Neural Network Robustness Certification. CoRR (2020)
Brendon G. Anderson, Somayeh Sojoudi
Certifying Neural Network Robustness to Random Input Noise from Samples. CoRR (2020)
Brendon G. Anderson, Somayeh Sojoudi
Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation. Allerton (2019)
Brendon G. Anderson, Somayeh Sojoudi
Global Optimality Guarantees for Nonconvex Unsupervised Video Segmentation. CoRR (2019)
Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi
Quantifying Robotic Swarm Coverage. CoRR (2019)
Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi
Quantifying Robotic Swarm Coverage. ICINCO (Selected Papers) (2018)
Brendon G. Anderson, Eva Loeser, Marissa Gee, Fei Ren, Swagata Biswas, Olga Turanova, Matt Haberland, Andrea L. Bertozzi
Quantitative Assessment of Robotic Swarm Coverage. ICINCO (2) (2018)