Search
Now showing items 71-80 of 106
A Framework for Privacy-Compliant Delivery Drones
We present Privaros, a framework to enforce privacy policies on drones. Privaros is designed for commercial delivery drones, such as the ones that will likely be used by Amazon Prime Air. Such drones visit a number of host ...
Locally Reconstructable Non-malleable Secret Sharing
Non-malleable secret sharing (NMSS) schemes, introduced by Goyal and Kumar (STOC 2018), ensure that a secret m can be distributed into shares m1,...,mn (for some n), such that any t (a parameter <= n) shares can be ...
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 ...
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 ...
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 ...
Inducing Constraints in Paraphrase Generation and Consistency in Paraphrase Detection
Deep learning models typically require a large volume of data. Manual curation of datasets is time-consuming and limited by imagination. As a result, natural language generation (NLG) has been employed to automate the ...