| Tightened convex relaxations for neural network robustness certification BG Anderson, Z Ma, J Li, S Sojoudi 2020 59th IEEE Conference on Decision and Control (CDC), 2190-2197, 2020 | 37 | 2020 |
| Data-driven certification of neural networks with random input noise BG Anderson, S Sojoudi IEEE Transactions on Control of Network Systems 10 (1), 249-260, 2022 | 20* | 2022 |
| Certified robustness via locally biased randomized smoothing BG Anderson, S Sojoudi Learning for Dynamics and Control Conference, 207-220, 2022 | 18 | 2022 |
| Improving the accuracy-robustness trade-off of classifiers via adaptive smoothing Y Bai, BG Anderson, A Kim, S Sojoudi SIAM Journal on Mathematics of Data Science, 2024 | 12 | 2024 |
| Projected randomized smoothing for certified adversarial robustness S Pfrommer, BG Anderson, S Sojoudi Transactions on Machine Learning Research, 2023 | 10 | 2023 |
| Asymmetric certified robustness via feature-convex neural networks S Pfrommer*, BG Anderson*, J Piet, S Sojoudi (*Equal contribution) Advances in Neural Information Processing Systems, 2023 | 7 | 2023 |
| 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 Robotics, 2018 | 7 | 2018 |
| 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 | 6* | 2023 |
| Node-variant graph filters in graph neural networks F Gama, BG Anderson, S Sojoudi 2022 IEEE Data Science and Learning Workshop (DSLW), 1-6, 2022 | 5 | 2022 |
| Towards optimal randomized smoothing: A semi-infinite linear programming approach BG Anderson, S Pfrommer, S Sojoudi ICML Workshop on Formal Verification of Machine Learning (WFVML), 2022 | 5 | 2022 |
| Global optimality guarantees for nonconvex unsupervised video segmentation BG Anderson, S Sojoudi 2019 57th Annual Allerton Conference on Communication, Control, and …, 2019 | 5 | 2019 |
| Mixing classifiers to alleviate the accuracy-robustness trade-off Y Bai, BG Anderson, S Sojoudi 6th Annual Learning for Dynamics & Control Conference, 852-865, 2024 | 3 | 2024 |
| A sequential greedy approach for training implicit deep models T Gautam, BG Anderson, S Sojoudi, L El Ghaoui 2022 IEEE 61st Conference on Decision and Control (CDC), 2751-2758, 2022 | 3 | 2022 |
| Tight certified robustness via min-max representations of ReLU neural networks BG Anderson, S Pfrommer, S Sojoudi 2023 62nd IEEE Conference on Decision and Control (CDC), 6348-6355, 2023 | 2 | 2023 |
| Evolutionary games on infinite strategy sets: Convergence to Nash equilibria via dissipativity BG Anderson, S Sojoudi, M Arcak arXiv preprint arXiv:2312.08286, 2023 | 1 | 2023 |
| 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 | 1 | 2022 |
| Quantifying robotic swarm coverage BG Anderson, E Loeser, M Gee, F Ren, S Biswas, O Turanova, ... Informatics in Control, Automation and Robotics: 15th International …, 2020 | 1 | 2020 |
| Analysis and tuning of a flyweight-actuated continuously variable transmission BG Anderson Technical Report, 2017 | 1 | 2017 |
| Approximately Gaussian replicator flows: Nonconvex optimization as a Nash-convergent evolutionary game BG Anderson, S Pfrommer, S Sojoudi 63rd IEEE Conference on Decision and Control, 2024 | | 2024 |
| Transport of algebraic structure to latent embeddings S Pfrommer, BG Anderson, S Sojoudi International Conference on Machine Learning, 2024 | | 2024 |
Somayeh SojoudiAssociate Professor, EECS, ME, UC Berkeley在 berkeley.edu 的电子邮件经过验证
