| Making machine learning forget S Shintre, KA Roundy, J Dhaliwal Privacy Technologies and Policy: 7th Annual Privacy Forum, APF 2019, Rome …, 2019 | 15 | 2019 |
| Gradient similarity: An explainable approach to detect adversarial attacks against deep learning J Dhaliwal, S Shintre arXiv preprint arXiv:1806.10707, 2018 | 15 | 2018 |
| Verifying that the influence of a user data point has been removed from a machine learning classifier S Shintre, J Dhaliwal US Patent 10,225,277, 2019 | 11 | 2019 |
| Identifying and protecting against a computer security threat while preserving privacy of individual client devices using differential privacy machine learning for streaming data J Dhaliwal, M Beck, A Parker-Wood, G So US Patent 10,984,113, 2021 | 4 | 2021 |
| Adversarial campaign mitigation via roc-centric prognostics J Echauz, K Kenemer, S Hussein, J Dhaliwal, S Shintre, S Grzonkowski, ... Proceedings of the Annual Conference of the PHM Society 11, 2019 | 4 | 2019 |
| Identifying and protecting against a computer security threat while preserving privacy of individual client devices using differential privacy for text documents G So, M Beck, J Dhaliwal, AB Gardner, A Parker-Wood US Patent 11,361,084, 2022 | 2 | 2022 |
| Compressive Recovery Defense: Defending Neural Networks Against ℓ2, ℓ∞, and ℓ0 Norm Attacks J Dhaliwal, K Hambrook 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 2 | 2020 |
| Machine learning adversarial campaign mitigation on a computing device J Echauz, AB Gardner, JK Kenemer, J Dhaliwal, S Shintre US Patent 11,551,137, 2023 | 1 | 2023 |
| Daes for linear inverse problems: Improved recovery with provable guarantees J Dhaliwal, K Hambrook arXiv preprint arXiv:2101.05130, 2021 | 1 | 2021 |
| Recovery guarantees for compressible signals with adversarial noise J Dhaliwal, K Hambrook arXiv preprint arXiv:1907.06565, 2019 | 1 | 2019 |
| Linear Inverse Problems and Neural Networks J Dhaliwal San Jose State University, 2021 | | 2021 |
| Compressive Recovery Defense: A Defense Framework for and norm attacks. J Dhaliwal, K Hambrook | | 2019 |
| Verifying that the influence of a user data point has been removed from a machine learning classifier S Shintre, J Dhaliwal US Patent 10,397,266, 2019 | | 2019 |
| Utility Preserving Secure Private Data Release J Dhaliwal, G So, A Parker-Wood, M Beck arXiv preprint arXiv:1901.09858, 2019 | | 2019 |
