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Brendon G. Anderson
Brendon G. Anderson
PhD Candidate, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Tightened convex relaxations for neural network robustness certification
BG Anderson, Z Ma, J Li, S Sojoudi
59th IEEE Conference on Decision and Control, 2020
342020
Data-Driven Certification of Neural Networks with Random Input Noise
BG Anderson, S Sojoudi
IEEE Transactions on Control of Network Systems, 2022
17*2022
Certified robustness via locally biased randomized smoothing
BG Anderson, S Sojoudi
Learning for Dynamics and Control Conference, 207-220, 2022
132022
Quantitative assessment of robotic swarm coverage
BG Anderson, E Loeser, M Gee, F Ren, S Biswas, O Turanova, ...
15th International Conference on Informatics in Control, Automation and …, 2018
72018
Projected Randomized Smoothing for Certified Adversarial Robustness
S Pfrommer, BG Anderson, S Sojoudi
Transactions on Machine Learning Research, 2023
62023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
Y Bai, BG Anderson, A Kim, S Sojoudi
arXiv preprint arXiv:2301.12554, 2023
5*2023
Towards Optimal Branching of Linear and Semidefinite Relaxations for Neural Network Robustness Certification
BG Anderson, Z Ma, J Li, S Sojoudi
arXiv preprint arXiv:2101.09306, 2023
4*2023
Towards Optimal Randomized Smoothing: A Semi-Infinite Linear Programming Approach
BG Anderson, S Pfrommer, S Sojoudi
ICML Workshop on Formal Verification of Machine Learning, 2022
42022
Asymmetric certified robustness via feature-convex neural networks
S Pfrommer*, BG Anderson*, J Piet, S Sojoudi
(*Equal contribution), 2022
32022
Node-Variant Graph Filters in Graph Neural Networks
F Gama, BG Anderson, S Sojoudi
IEEE Data Science and Learning Workshop (DSLW), 2022
32022
Global optimality guarantees for nonconvex unsupervised video segmentation
BG Anderson, S Sojoudi
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
32019
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Y Bai, BG Anderson, S Sojoudi
IEEE Conference on Control Technology and Applications, 2023
22023
A Sequential Greedy Approach for Training Implicit Deep Models
T Gautam, BG Anderson, S Sojoudi, L El Ghaoui
61st IEEE Conference on Decision and Control, 2022
22022
An Overview and Prospective Outlook on Robust Training and Certification of Machine Learning Models
BG Anderson*, T Gautam*, S Sojoudi
(*Equal contribution) IFAC Symposium on System Structure and Control, 2022
12022
Quantifying robotic swarm coverage
BG Anderson, E Loeser, M Gee, F Ren, S Biswas, O Turanova, ...
Lecture Notes in Electrical Engineering: Informatics in Control, Automation …, 2019
12019
Transport of Algebraic Structure to Latent Embeddings
S Pfrommer, BG Anderson, S Sojoudi
2024
Evolutionary Games on Infinite Strategy Sets: Convergence to Nash Equilibria via Dissipativity
BG Anderson, S Sojoudi, M Arcak
arXiv preprint arXiv:2312.08286, 2023
2023
Tight Certified Robustness via Min-Max Representations of ReLU Neural Networks
BG Anderson, S Pfrommer, S Sojoudi
62nd IEEE Conference on Decision and Control, 2023
2023
Towards Optimality and Robustness Guarantees for Data-Driven Learning and Decision Making
BG Anderson
University of California, Berkeley, 2020
2020
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Articles 1–19