Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Nguyen, Ngoc Bao"'
Multimodal large language models (MLLMs) have significantly advanced tasks like caption generation and visual question answering by integrating visual and textual data. However, they sometimes produce misleading or hallucinate content due to discrepa
Externí odkaz:
http://arxiv.org/abs/2412.17417
Skip connections are fundamental architecture designs for modern deep neural networks (DNNs) such as CNNs and ViTs. While they help improve model performance significantly, we identify a vulnerability associated with skip connections to Model Inversi
Externí odkaz:
http://arxiv.org/abs/2409.01696
Model Inversion (MI) is a type of privacy violation that focuses on reconstructing private training data through abusive exploitation of machine learning models. To defend against MI attacks, state-of-the-art (SOTA) MI defense methods rely on regular
Externí odkaz:
http://arxiv.org/abs/2409.01062
Publikováno v:
CVPR 2024
Model Inversion (MI) attacks aim to reconstruct private training data by abusing access to machine learning models. Contemporary MI attacks have achieved impressive attack performance, posing serious threats to privacy. Meanwhile, all existing MI def
Externí odkaz:
http://arxiv.org/abs/2405.05588
In a model inversion (MI) attack, an adversary abuses access to a machine learning (ML) model to infer and reconstruct private training data. Remarkable progress has been made in the white-box and black-box setups, where the adversary has access to t
Externí odkaz:
http://arxiv.org/abs/2310.19342
Model inversion (MI) attacks aim to infer and reconstruct private training data by abusing access to a model. MI attacks have raised concerns about the leaking of sensitive information (e.g. private face images used in training a face recognition sys
Externí odkaz:
http://arxiv.org/abs/2304.01669
Autor:
Nguyen, Ngoc-Bao-Tran a, b, Vo, Quoc-Hoang-Quyen a, b, Le, Thanh-Hai c, Huynh, Ngoc-Trinh d, Phan, Quoc-Hung e, ⁎, Pham, Thi-Thu-Hien a, b, ⁎⁎
Publikováno v:
In Optik September 2024 311
Autor:
Nguyen, Thao-Trang a, b, Vong, Long Binh b, c, Ha, Nhi Nguyen-yen b, c, Nguyen-Ngoc, Bao-Han b, c, Nguyen, Van Khiem b, c, Doan, Hoan Ngoc b, c, Dang, Nhi Ngoc-Thao b, c, Phan, Ke-Son d, To, Xuan-Thang d, Mai-Thi, Thu-Trang d, Ta, Hanh Thi-Kieu c, e, f, Ha, Phuong-Thu d, ⁎, Trinh, Nhu-Thuy b, c, ⁎⁎, Nguyen, Thi-Hiep b, c, ⁎⁎
Publikováno v:
In Materials Today Communications August 2024 40
Publikováno v:
Ho Chi Minh City Open University Journal of Science - Engineering and Technology, Vol 13, Iss 2, Pp 12-23 (2023)
Big-eyed bugs Geocoris spp. are a natural enemy species presented in many parts of the world that have been extensively researched because of the benefits that they bring to plants. In Vietnam, big-eyed bugs are found in many places, especially in fa
Externí odkaz:
https://doaj.org/article/477ced5333034153bea1cff627a60a2a
Recent successes in Generative Adversarial Networks (GAN) have affirmed the importance of using more data in GAN training. Yet it is expensive to collect data in many domains such as medical applications. Data Augmentation (DA) has been applied in th
Externí odkaz:
http://arxiv.org/abs/2006.05338