Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Dutta, Siddhant"'
Autor:
Sultanow, Eldar, Selimllari, Fation, Dutta, Siddhant, Reese, Barry D., Tehrani, Madjid, Buchanan, William J
Data poisoning attacks on machine learning models aim to manipulate the data used for model training such that the trained model behaves in the attacker's favor. In classical models such as deep neural networks, large chains of dot products do indeed
Externí odkaz:
http://arxiv.org/abs/2410.05145
Autor:
Dutta, Siddhant, Karanth, Pavana P, Xavier, Pedro Maciel, de Freitas, Iago Leal, Innan, Nouhaila, Yahia, Sadok Ben, Shafique, Muhammad, Neira, David E. Bernal
The widespread deployment of products powered by machine learning models is raising concerns around data privacy and information security worldwide. To address this issue, Federated Learning was first proposed as a privacy-preserving alternative to c
Externí odkaz:
http://arxiv.org/abs/2409.11430
The growing computational demands of artificial intelligence (AI) in addressing climate change raise significant concerns about inefficiencies and environmental impact, as highlighted by the Jevons paradox. We propose an attention-enhanced quantum ph
Externí odkaz:
http://arxiv.org/abs/2409.01626
Financial market prediction and optimal trading strategy development remain challenging due to market complexity and volatility. Our research in quantum finance and reinforcement learning for decision-making demonstrates the approach of quantum-class
Externí odkaz:
http://arxiv.org/abs/2408.03088
Consuming poisonous mushrooms can have severe health consequences, even resulting in fatality and accurately distinguishing edible from toxic mushroom varieties remains a significant challenge in ensuring food safety. So, it's crucial to distinguish
Externí odkaz:
http://arxiv.org/abs/2407.04708
Autor:
Innan, Nouhaila, Sawaika, Abhishek, Dhor, Ashim, Dutta, Siddhant, Thota, Sairupa, Gokal, Husayn, Patel, Nandan, Khan, Muhammad Al-Zafar, Theodonis, Ioannis, Bennai, Mohamed
Publikováno v:
Quantum Mach. Intell. 6, 7 (2024)
Financial fraud detection is essential for preventing significant financial losses and maintaining the reputation of financial institutions. However, conventional methods of detecting financial fraud have limited effectiveness, necessitating the need
Externí odkaz:
http://arxiv.org/abs/2309.01127
Autor:
Dutta, Siddhant, Bhanushali, Mann, Bhan, Sarthak, Varma, Lokita, Kanani, Pratik, Narvekar, Meera
Publikováno v:
In Procedia Computer Science 2023 230:554-563
Autor:
Innan, Nouhaila, Sawaika, Abhishek, Dhor, Ashim, Dutta, Siddhant, Thota, Sairupa, Gokal, Husayn, Patel, Nandan, Khan, Muhammad Al-Zafar, Theodonis, Ioannis, Bennai, Mohamed
Publikováno v:
Quantum Machine Intelligence; June 2024, Vol. 6 Issue: 1