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MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning
In the modern era of computing, machine learning tools have demonstrated their potential in vital sectors, such as healthcare and finance, to derive proper inferences. The sensitive and confidential nature of the data in ...
Security of Post-Quantum Multivariate Blind Signature Scheme: Revisited and Improved
Current cryptosystems face an imminent threat from quantum algorithms like Shor's and Grover's, leading us to post-quantum cryptography. Multivariate signatures are prominent in post-quantum cryptography due to their fast, ...
Plasma catalysis of diesel exhaust using industrial wastes: a study on NOX and THC removal
Air pollution, caused by large scale consumption of fossil fuels such as diesel, has been the leading cause of
several adverse environmental effects such as global warming, higher acidity in rainwater, lower yield ...
Deep Learning over Hypergraphs
Graphs have been extensively used for modelling real-world network datasets, however, they
are restricted to pairwise relationships, i.e., each edge connects exactly two vertices. Hypergraphs
relax the notion of edges ...
Imitation Learning Techniques for Robot Manipulation
Robots that can operate in unstructured environments and collaborate with humans play a major role in raising productivity and living standards as societies age. Unlike the robots currently used in industrial settings for ...
Hypothesis Testing under Communication Constraints - Theory and an Application in IoT
Applications in the Internet of Things (IoT) often demand enabling low-compute devices to perform distributed inference and testing by communicating over a low bandwidth link. This gives rise to a plethora of new problems ...
Hybrid Electromagnetic Solvers for EMIEMC
With advances in technology and increased design complexity in the automotive
industry, Electromagnetic Interference (EMI) and Electromagnetic Compatibility (EMC)
issues are becoming increasingly important. An accurate ...
Techniques for estimating the direction of pointing gestures using depth images in the presence of orientation and distance variations from the depth sensor
A significant part of our daily life is spent interacting with various computing devices, mobile phones, etc. Soon, robots and drones may become common in daily life, as might be virtual reality based interfaces. Currently, ...
Novel Regularized Image Reconstruction Algorithms for Sparse Photoacoustic Tomography
Among all tissue imaging modalities, photo-acoustic tomography (PAT), has been getting increasing attention in the recent past due to the fact that it has high contrast, high penetrability, and has capability of retrieving ...
Classifying Magnetic and Non-magnetic Two-dimensional Materials by Machine Learning
There has been a giant leap in technological advancement with the introduction of graphene and its remarkable properties after 2005. Since the inception of graphene, the new class of materials called 2D materials are ...