| Penalty method for inversion-free deep bilevel optimization A Mehra, J Hamm Asian Conference on Machine Learning, 2021, 2019 | 47 | 2019 |
| How Robust are Randomized Smoothing based Defenses to Data Poisoning? A Mehra, B Kailkhura, PY Chen, J Hamm Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 36 | 2020 |
| Certified adversarial defenses meet out-of-distribution corruptions: Benchmarking robustness and simple baselines J Sun, A Mehra, B Kailkhura, PY Chen, D Hendrycks, J Hamm, ZM Mao European Conference on Computer Vision, 2021, 2021 | 21 | 2021 |
| Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning A Mehra, B Kailkhura, PY Chen, J Hamm Advances in Neural Information Processing Systems, 2021, 2021 | 21 | 2021 |
| A spectral view of randomized smoothing under common corruptions: Benchmarking and improving certified robustness J Sun, A Mehra, B Kailkhura, PY Chen, D Hendrycks, J Hamm, ZM Mao European Conference on Computer Vision, 654-671, 2022 | 13 | 2022 |
| Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks B Joe, A Mehra, I Shin, J Hamm AAAI 2021 Workshop on Trustworthy AI for Healthcare, 2020 | 10 | 2020 |
| Machine vs machine: Minimax-optimal defense against adversarial examples J Hamm, A Mehra arXiv preprint arXiv:1711.04368, 2017 | 9 | 2017 |
| On certifying and improving generalization to unseen domains A Mehra, B Kailkhura, PY Chen, J Hamm arXiv preprint arXiv:2206.12364, 2022 | 4 | 2022 |
| Do Domain Generalization Methods Generalize Well? A Mehra, B Kailkhura, PY Chen, J Hamm NeurIPS 2022 Workshop on Machine Learning Safety, 2022 | 3 | 2022 |
| Fast Interactive Image Retrieval using large-scale unlabeled data A Mehra, J Hamm, M Belkin arXiv preprint arXiv:1802.04204, 2018 | 2 | 2018 |
| Analysis of task transferability in large pre-trained classifiers A Mehra, Y Zhang, J Hamm arXiv preprint arXiv:2307.00823, 2023 | 1 | 2023 |
| Understanding the robustness of multi-exit models under common corruptions A Mehra, S Seto, N Jaitly, BJ Theobald arXiv preprint arXiv:2212.01562, 2022 | 1 | 2022 |
| On the effectiveness of poisoning against unsupervised domain adaptation A Mehra, B Kailkhura, PY Chen, J Hamm ICML 2021 Workshop on Adversarial Machine Learning, 2021 | 1 | 2021 |
| On the Fly Neural Style Smoothing for Risk-Averse Domain Generalization A Mehra, Y Zhang, B Kailkhura, J Hamm Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| Risk-Averse Predictions on Unseen Domains via Neural Style Smoothing A Mehra, Y Zhang, B Kailkhura, J Hamm The Second Workshop on New Frontiers in Adversarial Machine Learning, 2023 | | 2023 |
| Stealthy Poisoning Attack on Certified Robustness A Mehra, B Kailkhura, PY Chen, J Hamm NeurIPS 2020 Workshop on Dataset Curation and Security, 2020 | | 2020 |
| VISUAL QUESTION ANSWERING A Mehra, C Menart, D Nandi, RK Srivastava | | 2017 |
Jihun HammTulane UniversityVerified email at tulane.edu
