Zobrazeno 1 - 10
of 362
pro vyhledávání: '"Chakrabarti, Partha"'
In today's media landscape, where news outlets play a pivotal role in shaping public opinion, it is imperative to address the issue of sentiment manipulation within news text. News writers often inject their own biases and emotional language, which c
Externí odkaz:
http://arxiv.org/abs/2402.02145
The rising demand for networked embedded systems with machine intelligence has been a catalyst for sustained attempts by the research community to implement Convolutional Neural Networks (CNN) based inferencing on embedded resource-limited devices. R
Externí odkaz:
http://arxiv.org/abs/2305.05274
With the rapid advancement and increased use of deep learning models in image identification, security becomes a major concern to their deployment in safety-critical systems. Since the accuracy and robustness of deep learning models are primarily att
Externí odkaz:
http://arxiv.org/abs/2208.13838
Autor:
Alam, Manaar, Datta, Shubhajit, Mukhopadhyay, Debdeep, Mondal, Arijit, Chakrabarti, Partha Pratim
The security of deep learning (DL) systems is an extremely important field of study as they are being deployed in several applications due to their ever-improving performance to solve challenging tasks. Despite overwhelming promises, the deep learnin
Externí odkaz:
http://arxiv.org/abs/2208.08697
Agent-Based Models are very useful for simulation of physical or social processes, such as the spreading of a pandemic in a city. Such models proceed by specifying the behavior of individuals (agents) and their interactions, and parameterizing the pr
Externí odkaz:
http://arxiv.org/abs/2205.14396
Multi-Agent Path Finding (MAPF) is the problem of finding collision-free paths for multiple agents from their start locations to end locations. We consider an extension to this problem, Precedence Constrained Multi-Agent Path Finding (PC-MAPF), where
Externí odkaz:
http://arxiv.org/abs/2202.10449
Autor:
Alam, Manaar, Datta, Shubhajit, Mukhopadhyay, Debdeep, Mondal, Arijit, Chakrabarti, Partha Pratim
The security of Deep Learning classifiers is a critical field of study because of the existence of adversarial attacks. Such attacks usually rely on the principle of transferability, where an adversarial example crafted on a surrogate classifier tend
Externí odkaz:
http://arxiv.org/abs/2112.04948
With the rapid advancement and increased use of deep learning models in image identification, security becomes a major concern to their deployment in safety-critical systems. Since the accuracy and robustness of deep learning models are primarily att
Externí odkaz:
http://arxiv.org/abs/2111.15518
Patients with Frontotemporal Dementia (FTD) have impaired cognitive abilities, executive and behavioral traits, loss of language ability, and decreased memory capabilities. Based on the distinct patterns of cortical atrophy and symptoms, the FTD spec
Externí odkaz:
http://arxiv.org/abs/2104.05235
During the Covid-19 pandemic, most governments across the world imposed policies like lock-down of public spaces and restrictions on people's movements to minimize the spread of the virus through physical contact. However, such policies have grave so
Externí odkaz:
http://arxiv.org/abs/2104.01650