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nuKSM: NUMA-aware Memory De-duplication for Multi-socket Servers
An operating system's memory management has multiple goals, e.g. reducing memory access latencies, reducing memory footprint. These goals can conflict with each other when independent subsystems optimize them in silos. ...
Battle of Bandits: Online Learning from Subsetwise Preferences and Other Structured Feedback
The elicitation and aggregation of preferences is often the key to making better decisions. Be it a perfume company wanting to relaunch their 5 most popular fragrances, a movie recommender system trying to rank the most ...
Large Data Clustering And Classification Schemes For Data Mining
(2009-03-20)
Data Mining deals with extracting valid, novel, easily understood by humans, potentially useful and general abstractions from large data. A data is large when number of patterns, number of features per pattern or both are ...
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, ...
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 ...
Multi-Armed Bandits – On Range Searching and On Slowly-varying Non-stationarity
Multi-Armed Bandits (MAB) is a popular framework for modelling sequential decision-making problems under uncertainty. This thesis is a compilation of two independent works on MABs.
1. In the first work, we study a ...
Top-k Spatial Aware Ads
Consider an app on a smartphone which displays local business ads. When a user opens the
app, then k local business ads need to displayed (where k would typically be 3 or 5) such that
the profit made by the app is ...
Privadome: A System for Citizen Privacy in the Delivery Drone Era
E-commerce companies are actively considering the use of delivery drones for customer fulfillment, leading to growing concerns around citizen privacy. Drones are equipped with cameras, and the video feed from these cameras ...
Towards Robustness of Neural Legal Judgement System
Legal Judgment Prediction (LJP) implements Natural Language Processing (NLP) techniques
to predict judgment results based on fact description. It can play a vital role as a legal assistant
and benefit legal practitioners ...