Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tandon, Arnuv"'
Low Rank Adaptation (LoRA) is a popular Parameter Efficient Fine Tuning (PEFT) method that effectively adapts large pre-trained models for downstream tasks. LoRA parameterizes model updates using low-rank matrices at each layer, significantly reducin
Externí odkaz:
http://arxiv.org/abs/2410.04060
As the capabilities of large machine learning models continue to grow, and as the autonomy afforded to such models continues to expand, the spectre of a new adversary looms: the models themselves. The threat that a model might behave in a seemingly r
Externí odkaz:
http://arxiv.org/abs/2307.10569
We present FACADE, a novel probabilistic and geometric framework designed for unsupervised mechanistic anomaly detection in deep neural networks. Its primary goal is advancing the understanding and mitigation of adversarial attacks. FACADE aims to ge
Externí odkaz:
http://arxiv.org/abs/2307.10563
Autor:
Huang, Yaoqi, Suja, Vineeth Chandran, Yang, Menghao, Malkovskiy, Andrey V., Tandon, Arnuv, Colom, Adai, Qin, Jian, Fuller, Gerald G.
Response of lipid bilayers to external mechanical stimuli is an active area of research with implications for fundamental and synthetic cell biology. However, there is a lack of tools for systematically imposing mechanical strains and non-invasively
Externí odkaz:
http://arxiv.org/abs/2305.05151
Autor:
Huang, Yaoqi, Chandran Suja, Vineeth, Yang, Menghao, Malkovskiy, Andrey V., Tandon, Arnuv, Colom, Adai, Qin, Jian, Fuller, Gerald G.
Publikováno v:
In Journal of Colloid And Interface Science January 2024 653 Part B:1196-1204
