Zobrazeno 1 - 10
of 35 324
pro vyhledávání: '"A Kamath"'
Autor:
Huang, Yangsibo, Liu, Daogao, Chua, Lynn, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Manurangsi, Pasin, Nasr, Milad, Sinha, Amer, Zhang, Chiyuan
Machine unlearning algorithms, designed for selective removal of training data from models, have emerged as a promising approach to growing privacy concerns. In this work, we expose a critical yet underexplored vulnerability in the deployment of unle
Externí odkaz:
http://arxiv.org/abs/2410.09591
Autor:
Berke, Alex, Bacis, Enrico, Ghazi, Badih, Kamath, Pritish, Kumar, Ravi, Lassonde, Robin, Manurangsi, Pasin, Syed, Umar
Browser fingerprinting can be used to identify and track users across the Web, even without cookies, by collecting attributes from users' devices to create unique "fingerprints". This technique and resulting privacy risks have been studied for over a
Externí odkaz:
http://arxiv.org/abs/2410.06954
We consider the problem of a training data proof, where a data creator or owner wants to demonstrate to a third party that some machine learning model was trained on their data. Training data proofs play a key role in recent lawsuits against foundati
Externí odkaz:
http://arxiv.org/abs/2409.19798
Several benchmarks have concluded that our best vision-language models (e.g., CLIP) are lacking in compositionality. Given an image, these benchmarks probe a model's ability to identify its associated caption amongst a set of compositional distractor
Externí odkaz:
http://arxiv.org/abs/2409.17958
Autor:
Narra, Venkata Suresh, Raja, K. Sasikumar, B, Raghavendra Prasad, Singh, Jagdev, Mishra, Shalabh, U, Sanal Krishnan V, S, Bhavana Hegde, D., Utkarsha, V, Natarajan, S, Pawan Kumar, Priyal V, Muthu, P, Savarimuthu, Gavshinde, Priya, P, Umesh Kamath
The magnetic field strength and its topology play an important role in understanding the formation, evolution, and dynamics of the solar corona. Also, it plays a significant role in addressing long-standing mysteries such as coronal heating problem,
Externí odkaz:
http://arxiv.org/abs/2409.12793
Autor:
Dorsman, Bas, Salmi, Tuomo, Watts, Anna L., Ng, Mason, Kamath, Satish, Bobrikova, Anna, Poutanen, Juri, Loktev, Vladislav, Kini, Yves, Choudhury, Devarshi, Vinciguerra, Serena, Bogdanov, Slavko, Chakrabarty, Deepto
Pulse profile modelling (PPM) is a technique for inferring mass, radius and hotspot properties of millisecond pulsars. PPM is now regularly used for analysis of rotation-powered millisecond pulsars (RMPs) with data from the Neutron Star Interior Comp
Externí odkaz:
http://arxiv.org/abs/2409.07908
Autor:
Mendoza, Ismael, Torchylo, Andrii, Sainrat, Thomas, Guinot, Axel, Boucaud, Alexandre, Paillassa, Maxime, Avestruz, Camille, Adari, Prakruth, Aubourg, Eric, Biswas, Biswajit, Buchanan, James, Burchat, Patricia, Doux, Cyrille, Joseph, Remy, Kamath, Sowmya, Malz, Alex I., Merz, Grant, Miyatake, Hironao, Roucelle, Cécile, Zhang, Tianqing, Collaboration, the LSST Dark Energy Science
We present an open source Python library for simulating overlapping (i.e., blended) images of galaxies and performing self-consistent comparisons of detection and deblending algorithms based on a suite of metrics. The package, named Blending Toolkit
Externí odkaz:
http://arxiv.org/abs/2409.06986
Sound morphing is the process of gradually and smoothly transforming one sound into another to generate novel and perceptually hybrid sounds that simultaneously resemble both. Recently, diffusion-based text-to-audio models have produced high-quality
Externí odkaz:
http://arxiv.org/abs/2408.07260
Autor:
Kamath, Suresh
The development of an IT strategy and ensuring that it is the best possible one for business is a key problem many organizations face. This problem is that of linking business architecture to IT architecture in general and application architecture sp
Externí odkaz:
http://arxiv.org/abs/2407.17273
Autor:
Yin, Guoli, Bai, Haoping, Ma, Shuang, Nan, Feng, Sun, Yanchao, Xu, Zhaoyang, Ma, Shen, Lu, Jiarui, Kong, Xiang, Zhang, Aonan, Yap, Dian Ang, zhang, Yizhe, Ahnert, Karsten, Kamath, Vik, Berglund, Mathias, Walsh, Dominic, Gindele, Tobias, Wiest, Juergen, Lai, Zhengfeng, Wang, Xiaoming, Shan, Jiulong, Cao, Meng, Pang, Ruoming, Wang, Zirui
Recent advances in large language models (LLMs) have increased the demand for comprehensive benchmarks to evaluate their capabilities as human-like agents. Existing benchmarks, while useful, often focus on specific application scenarios, emphasizing
Externí odkaz:
http://arxiv.org/abs/2407.18961