- Wang, R., Wang, Y., Liu, J., Koike-Akino, T., "Quantum Diffusion Models for Few-Shot Learning", arXiv, November 2024.
BibTeX arXiv- @article{Wang2024nov,
- author = {Wang, Ruhan and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki}},
- title = {Quantum Diffusion Models for Few-Shot Learning},
- journal = {arXiv},
- year = 2024,
- month = nov,
- url = {https://arxiv.org/abs/2411.04217}
- }
- Li, Z., Lowy, A., Liu, J., Koike-Akino, T., Parsons, K., Malin, B., Wang, Y., "Analyzing Inference Privacy Risks Through Gradients In Machine Learning", ACM Conference on Computer and Communications Security (CCS), October 2024.
BibTeX TR2024-141 PDF- @inproceedings{Li2024oct,
- author = {Li, Zhuohang and Lowy, Andrew and Liu, Jing and Koike-Akino, Toshiaki and Parsons, Kieran and Malin, Bradley and Wang, Ye}},
- title = {Analyzing Inference Privacy Risks Through Gradients In Machine Learning},
- booktitle = {ACM Conference on Computer and Communications Security (CCS)},
- year = 2024,
- month = oct,
- url = {https://www.merl.com/publications/TR2024-141}
- }
- Rashid, M.R.U., Liu, J., Koike-Akino, T., Mehnaz, S., Wang, Y., "Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage", arXiv, August 2024.
BibTeX arXiv- @article{Rashid2024aug,
- author = {Rashid, Md Rafi Ur and Liu, Jing and Koike-Akino, Toshiaki and Mehnaz, Shagufta and Wang, Ye}},
- title = {Forget to Flourish: Leveraging Machine-Unlearning on Pretrained Language Models for Privacy Leakage},
- journal = {arXiv},
- year = 2024,
- month = aug,
- url = {https://arxiv.org/abs/2408.17354}
- }
- Liu, J., Lowy, A., Koike-Akino, T., Parsons, K., Wang, Y., "Efficient Differentially Private Fine-Tuning of Diffusion Models", International Conference on Machine Learning (ICML) workshop (Next Generation of AI Safety), July 2024.
BibTeX TR2024-104 PDF- @inproceedings{Liu2024jul,
- author = {Liu, Jing and Lowy, Andrew and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye}},
- title = {Efficient Differentially Private Fine-Tuning of Diffusion Models},
- booktitle = {International Conference on Machine Learning (ICML) workshop (Next Generation of AI Safety)},
- year = 2024,
- month = jul,
- url = {https://www.merl.com/publications/TR2024-104}
- }
- Bimbraw, K., Liu, J., Wang, Y., Koike-Akino, T., "Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals", International Conference of the IEEE Engineering in Medicine and Biology Society, July 2024.
BibTeX TR2024-103 PDF- @inproceedings{Bimbraw2024jul3,
- author = {Bimbraw, Keshav and Liu, Jing and Wang, Ye and Koike-Akino, Toshiaki}},
- title = {Random Channel Ablation for Robust Hand Gesture Classification with Multimodal Biosignals},
- booktitle = {International Conference of the IEEE Engineering in Medicine and Biology Society},
- year = 2024,
- month = jul,
- url = {https://www.merl.com/publications/TR2024-103}
- }
- Hase, R., Wang, Y., Koike-Akino, T., Liu, J., Parsons, K., "Variational Randomized Smoothing for Sample-Wise Adversarial Robustness", arXiv, July 2024.
BibTeX arXiv- @article{Hase2024jul,
- author = {Hase, Ryo and Wang, Ye and Koike-Akino, Toshiaki and Liu, Jing and Parsons, Kieran}},
- title = {Variational Randomized Smoothing for Sample-Wise Adversarial Robustness},
- journal = {arXiv},
- year = 2024,
- month = jul,
- url = {https://arxiv.org/abs/2407.11844}
- }
- Bimbraw, K., Wang, Y., Liu, J., Koike-Akino, T., "GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM", arXiv, July 2024.
BibTeX arXiv- @article{Bimbraw2024jul2,
- author = {Bimbraw, Keshav and Wang, Ye and Liu, Jing and Koike-Akino, Toshiaki}},
- title = {GPT Sonograpy: Hand Gesture Decoding from Forearm Ultrasound Images via VLM},
- journal = {arXiv},
- year = 2024,
- month = jul,
- url = {https://arxiv.org/abs/2407.10870}
- }
- Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., Wang, G., Koike-Akino, T., "SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), DOI: 10.1109/CVPRW63382.2024.00804, June 2024, pp. 8050-8055.
BibTeX TR2024-062 PDF- @inproceedings{Chen2024jun,
- author = {Chen, Xiangyu and Liu, Jing and Wang, Ye and Wang, Pu and Brand, Matthew and Wang, Guanghui and Koike-Akino, Toshiaki}},
- title = {SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models},
- booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
- year = 2024,
- pages = {8050--8055},
- month = jun,
- publisher = {IEEE},
- doi = {10.1109/CVPRW63382.2024.00804},
- url = {https://www.merl.com/publications/TR2024-062}
- }
- Chen, X., Liu, J., Wang, Y., Wang, P., Brand, M., Wang, G., Koike-Akino, T., "SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules", arXiv, March 2024.
BibTeX arXiv- @article{Chen2024mar,
- author = {Chen, Xiangyu and Liu, Jing and Wang, Ye and Wang, Pu and Brand, Matthew and Wang, Guanghui and Koike-Akino, Toshiaki},
- title = {SuperLoRA: Parameter-Efficient Unified Adaptation of Multi-Layer Attention Modules},
- journal = {arXiv},
- year = 2024,
- month = mar,
- url = {https://arxiv.org/abs/2403.11887}
- }
- Lowy, A., Li, Z., Liu, J., Koike-Akino, T., Parsons, K., Wang, Y., "Why Does Differential Privacy with Large ε Defend Against Practical Membership Inference Attacks?", AAAI Workshop on Privacy-Preserving Artificial Intelligence, February 2024.
BibTeX TR2024-009 PDF- @inproceedings{Lowy2024feb2,
- author = {Lowy, Andrew and Li, Zhuohang and Liu, Jing and Koike-Akino, Toshiaki and Parsons, Kieran and Wang, Ye},
- title = {Why Does Differential Privacy with Large ε Defend Against Practical Membership Inference Attacks?},
- booktitle = {AAAI Workshop on Privacy-Preserving Artificial Intelligence},
- year = 2024,
- month = feb,
- url = {https://www.merl.com/publications/TR2024-009}
- }
- Liu, J., Koike-Akino, T., Wang, P., Brand, M., Wang, Y., Parsons, K., "LoDA: Low-Dimensional Adaptation of Large Language Models", Advances in Neural Information Processing Systems (NeurIPS) workshop, December 2023.
BibTeX TR2023-150 PDF- @inproceedings{Liu2023dec,
- author = {Liu, Jing and Koike-Akino, Toshiaki and Wang, Pu and Brand, Matthew and Wang, Ye and Parsons, Kieran},
- title = {LoDA: Low-Dimensional Adaptation of Large Language Models},
- booktitle = {Advances in Neural Information Processing Systems (NeurIPS) workshop},
- year = 2023,
- month = dec,
- url = {https://www.merl.com/publications/TR2023-150}
- }
- Li, Z., Lowy, A., Liu, J., Koike-Akino, T., Malin, B., Parsons, K., Wang, Y., "Exploring User-level Gradient Inversion with a Diffusion Prior", International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS, December 2023.
BibTeX TR2023-149 PDF- @inproceedings{Li2023dec,
- author = {Li, Zhuohang and Lowy, Andrew and Liu, Jing and Koike-Akino, Toshiaki and Malin, Bradley and Parsons, Kieran and Wang, Ye},
- title = {Exploring User-level Gradient Inversion with a Diffusion Prior},
- booktitle = {International Workshop on Federated Learning in the Age of Foundation Models in Conjunction with NeurIPS},
- year = 2023,
- month = dec,
- url = {https://www.merl.com/publications/TR2023-149}
- }
- Smedemark-Margulies, N., Wang, Y., Koike-Akino, T., Liu, J., Parsons, K., Bicer, Y., Erdogmus, D., "Stabilizing Subject Transfer in EEG Classification with Divergence Estimation", arXiv, October 2023.
BibTeX arXiv- @article{Smedemark-Margulies2023oct,
- author = {Smedemark-Margulies, Niklas and Wang, Ye and Koike-Akino, Toshiaki and Liu, Jing and Parsons, Kieran and Bicer, Yunus and Erdogmus, Deniz},
- title = {Stabilizing Subject Transfer in EEG Classification with Divergence Estimation},
- journal = {arXiv},
- year = 2023,
- month = oct,
- url = {https://arxiv.org/abs/2310.08762}
- }