| Towards Compositionality in Concept Learning A Stein, A Naik, Y Wu, M Naik, E Wong arXiv preprint arXiv:2406.18534, 2024 | | 2024 |
| Avoiding Copyright Infringement via Machine Unlearning G Dou, Z Liu, Q Lyu, K Ding, E Wong arXiv preprint arXiv:2406.10952, 2024 | | 2024 |
| Data-Efficient Learning with Neural Programs A Solko-Breslin, S Choi, Z Li, N Velingker, R Alur, M Naik, E Wong arXiv preprint arXiv:2406.06246, 2024 | | 2024 |
| DISCRET: Synthesizing Faithful Explanations For Treatment Effect Estimation Y Wu, M Keoliya, K Chen, N Velingker, Z Li, EJ Getzen, Q Long, M Naik, ... arXiv preprint arXiv:2406.00611, 2024 | | 2024 |
| Torchql: A programming framework for integrity constraints in machine learning A Naik, A Stein, Y Wu, M Naik, E Wong Proceedings of the ACM on Programming Languages 8 (OOPSLA1), 833-863, 2024 | 1 | 2024 |
| Erratum to: Velocity-selective arterial spin labeling perfusion MRI: A review of the state of the art and recommendations for clinical implementation (Magn Reson Med. 2022; 88 … Q Qin, DC Alsop, DS Bolar, L Hernandez-Garcia, J Meakin, D Liu, ... Magnetic resonance in medicine, 2024 | | 2024 |
| A mathematical model for velocity‐selective arterial spin labeling TT Liu, EC Wong, DS Bolar, C Chen, RS Barnes Magnetic Resonance in Medicine 91 (4), 1384-1403, 2024 | 1 | 2024 |
| Jailbreakbench: An open robustness benchmark for jailbreaking large language models P Chao, E Debenedetti, A Robey, M Andriushchenko, F Croce, V Sehwag, ... arXiv preprint arXiv:2404.01318, 2024 | 16 | 2024 |
| Defending large language models against jailbreak attacks via semantic smoothing J Ji, B Hou, A Robey, GJ Pappas, H Hassani, Y Zhang, E Wong, S Chang arXiv preprint arXiv:2402.16192, 2024 | 10 | 2024 |
| Stability guarantees for feature attributions with multiplicative smoothing A Xue, R Alur, E Wong Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| MVP-VSASL: measuring MicroVascular Pulsatility using Velocity-Selective Arterial Spin Labeling C Chen, RA Barnes, KJ Bangen, F Han, J Pfeuffer, EC Wong, TT Liu, ... medRxiv, 2024.06. 21.24309261, 2024 | | 2024 |
| A Generalized Signal Model for Dual-Module Velocity-Selective Arterial Spin Labeling T Liu, C Chen, J Guo, E Wong, D Bolar medRxiv, 2024.05. 15.24307357, 2024 | | 2024 |
| Initialization matters for adversarial transfer learning A Hua, J Gu, Z Xue, N Carlini, E Wong, Y Qin Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Metabolic energetics underlying attractors in neural models RB Buxton, EC Wong Journal of Neurophysiology 131 (1), 88-105, 2024 | 2 | 2024 |
| Associations between patient characteristics and unplanned or delayed discharges from geriatric rehabilitation: A retrospective chart review AJ Perrella, A Karimi, C Reppas-Rindlisbacher, J Lee, E Wong, ... American Journal of Physical Medicine & Rehabilitation 102 (12), 1111-1115, 2023 | | 2023 |
| Cholinesterase inhibitors and falls, syncope and injuries in patients with cognitive impairment: a systematic review and meta-analysis M Ahuja, S Siddhpuria, A Karimi, K Lewis, E Wong, J Lee, ... Age and ageing 52 (11), afad205, 2023 | 2 | 2023 |
| Sum-of-Parts Models: Faithful Attributions for Groups of Features W You, H Qu, M Gatti, B Jain, E Wong arXiv preprint arXiv:2310.16316, 2023 | 1 | 2023 |
| Salun: Empowering machine unlearning via gradient-based weight saliency in both image classification and generation C Fan, J Liu, Y Zhang, D Wei, E Wong, S Liu arXiv preprint arXiv:2310.12508, 2023 | 20 | 2023 |
| Jailbreaking black box large language models in twenty queries P Chao, A Robey, E Dobriban, H Hassani, GJ Pappas, E Wong arXiv preprint arXiv:2310.08419, 2023 | 166 | 2023 |
| Comparing styles across languages S Havaldar, M Pressimone, E Wong, L Ungar arXiv preprint arXiv:2310.07135, 2023 | 2 | 2023 |
Peter A. BandettiniChief, Section on Functional Imaging Methods, National Institute of Mental Health在 nih.gov 的电子邮件经过验证
