| Tightened convex relaxations for neural network robustness certification BG Anderson, Z Ma, J Li, S Sojoudi 59th IEEE Conference on Decision and Control, 2020 | 35 | 2020 |
| Data-Driven Certification of Neural Networks with Random Input Noise BG Anderson, S Sojoudi IEEE Transactions on Control of Network Systems, 2022 | 19* | 2022 |
| Certified robustness via locally biased randomized smoothing BG Anderson, S Sojoudi Learning for Dynamics and Control Conference, 207-220, 2022 | 14 | 2022 |
| 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 | 8* | 2023 |
| Projected Randomized Smoothing for Certified Adversarial Robustness S Pfrommer, BG Anderson, S Sojoudi Transactions on Machine Learning Research, 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 …, 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 |
| Asymmetric certified robustness via feature-convex neural networks S Pfrommer*, BG Anderson*, J Piet, S Sojoudi (*Equal contribution), 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, 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 | 4 | 2019 |
| Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off Y Bai, BG Anderson, S Sojoudi Learning for Dynamics and Control Conference, 2024 | 3 | 2024 |
| Node-Variant Graph Filters in Graph Neural Networks F Gama, BG Anderson, S Sojoudi IEEE Data Science and Learning Workshop (DSLW), 2022 | 3 | 2022 |
| 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 | 2 | 2023 |
| 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 | 2 | 2022 |
| 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, ... Lecture Notes in Electrical Engineering: Informatics in Control, Automation …, 2019 | 1 | 2019 |
| Provably Robust Machine Learning through Structure-Aware Computation BG Anderson University of California, Berkeley, 2024 | | 2024 |
| Approximately Gaussian Replicator Flows: Nonconvex Optimization as a Nash-Convergent Evolutionary Game BG Anderson, S Pfrommer, S Sojoudi | | 2024 |
| Transport of Algebraic Structure to Latent Embeddings S Pfrommer, BG Anderson, S Sojoudi | | 2024 |
Somayeh SojoudiAssociate Professor, EECS, ME, UC BerkeleyE-mailová adresa ověřena na: berkeley.edu
