Tootfinder

Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption
Bharat Yalavarthi, Arjun Ramesh Kaushik, Arun Ross, Vishnu Boddeti, Nalini Ratha
https://arxiv.org/abs/2404.16255

Enhancing Privacy in Face Analytics Using Fully Homomorphic Encryption
Modern face recognition systems utilize deep neural networks to extract salient features from a face. These features denote embeddings in latent space and are often stored as templates in a face recognition system. These embeddings are susceptible to data leakage and, in some cases, can even be used to reconstruct the original face image. To prevent compromising identities, template protection schemes are commonly employed. However, these schemes may still not prevent the leakage of soft biomet…

Core Stability in Additively Separable Hedonic Games of Low Treewidth
Tesshu Hanaka, Noleen K\"ohler, Michael Lampis
https://arxiv.org/abs/2402.10815 …

Core Stability in Additively Separable Hedonic Games of Low Treewidth
Additively Separable Hedonic Game (ASHG) are coalition-formation games where we are given a graph whose vertices represent $n$ selfish agents and the weight of each edge $uv$ denotes how much agent $u$ gains (or loses) when she is placed in the same coalition as agent $v$. We revisit the computational complexity of the well-known notion of core stability of ASHGs, where the goal is to construct a partition of the agents into coalitions such that no group of agents would prefer to diverge from t…

A deep classifier of chaos and order in Hamiltonian systems of two degrees of freedom
Ippocratis D. Saltas, Georgios Lukes-Gerakopoulos
https://arxiv.org/abs/2402.12359

A deep classifier of chaos and order in Hamiltonian systems of two degrees of freedom
Chaos is an intriguing phenomenon that can be found in an immense variate of systems. Its detection and discrimination from its counterpart order poses an interesting challenge. To address it, we present a deep classifier capable of classifying chaos from order in the discretised dynamics of Hamiltonian systems of two degrees of freedom, through the machinery of Poincaré maps. Our deep network is based predominantly on a convolutional architecture, and generalises with good accuracy on unseen …

Implementation of Parallel Process Execution in the Next Generation System Analysis Model
Harish Gadey, Lucas Vander Wal, Robert Joseph
https://arxiv.org/abs/2403.09848

Implementation of Parallel Process Execution in the Next Generation System Analysis Model
The United States DOE Office of Integrated Waste Management program is planning for the transportation, storage, and eventual disposal of spent nuclear fuel and high-level radioactive waste from nuclear power plant sites across the United States. The Next Generation System Analysis Model is an agent-based simulation toolkit that is used for system level simulation and analysis of the SNF inventory in the United States. This tool was developed as part of a collaborative effort between Argonne Na…

Implementation of Parallel Process Execution in the Next Generation System Analysis Model
Harish Gadey, Lucas Vander Wal, Robert Joseph
https://arxiv.org/abs/2403.09848

Implementation of Parallel Process Execution in the Next Generation System Analysis Model
The United States DOE Office of Integrated Waste Management program is planning for the transportation, storage, and eventual disposal of spent nuclear fuel and high-level radioactive waste from nuclear power plant sites across the United States. The Next Generation System Analysis Model is an agent-based simulation toolkit that is used for system level simulation and analysis of the SNF inventory in the United States. This tool was developed as part of a collaborative effort between Argonne Na…