Search Results

Refine Results

Current Selections
People
Asset Type
Research Areas
Categories
Published Date
Custom Range:
to
36,651 results found
Publication

Belonging There: VROOM-ing into the Uncanny Valley of XR Telepresence 

by Brennan Jones; et. al.

The world is entering a new normal of hybrid organisations, in which it will be common that some members are co-located and others are remote. Hybridity is rife with asymmetries that affect our sense of belonging in an organisational space. This paper reports a study of an XR Telepresence technology probe to explore how remote workers might present themselves and be perceived as an equal and unique embodied being in a workplace. VROOM (Virtual Robot…

Publication

Formation of Social Ties Predicts Food Choice: A Campus-wide Longitudinal Study 

by Kristina Gligorić; et. al.

Nutrition is a key determinant of long-term health, and social influence has long been theorized to be a key determinant of nutrition. It has been difficult to quantify the postulated role of social influence on nutrition using traditional methods such as surveys, due to the typically small scale and short duration of studies. To overcome these limitations, we leverage a novel source of data: logs of 38 million food purchases made over an 8-year period…

Publication

PECAM: Privacy-Enhanced Video Streaming and Analytics via Securely-Reversible Transformation 

by Hao Wu; et. al.

As Video Streaming and Analytics (VSA) systems become increasingly popular, serious privacy concerns have risen on exposing too much unnecessary private information to the VSA providers. Yet, it is challenging to protect privacy while still preserving desired VSA features, i.e., effective analytics, forensic support, resource efficiency, and real-time execution. In this paper, we present a VSA privacy enhancement system (PECAM), which addresses the above challenge with no change in the VSA back-end. PECAM leverages a…

Publication

Authenticating Drivers Using Automotive Batteries 

by Liang He; et. al.

Automakers have been improving, or even trying to replace, key-based driver authentication solutions, owing to their vulnerability to cyber attacks and single-point-of-failures, as well as their inability of driver identification. In line with this effort, we design a novel driver authentication system using automotive batteries, called Batteries-as-Authenticators (BAuth), to mitigate the limitations of key-based solutions by providing a second-factor authentication. BAuth is an add-on module installed between vehicles and their batteries, which uses the batteries…

Publication

Maximizing SocialWelfare in a Competitive Diffusion Model 

by Prithu Banerjee, Wei Chen, Laks V.S. Lakshmanan

Influence maximization (IM) has garnered a lot of attention in the literature owing to applications such as viral marketing and infection containment. It aims to select a small number of seed users to adopt an item such that adoption propagates to a large number of users in the network. Competitive IM focuses on the propagation of competing items in the network. Existing works on competitive IM have several limitations. (1) They fail to incorporate economic…

Publication

Stars Can Tell: A Robust Method to Defend against GPS Spoofing Attacks using Off-the-shelf Chipset 

by Shinan Liu; et. al.

The GPS has empowered billions of users and various critical infrastructures with its positioning and time services. However, GPS spoofing attacks also become a growing threat to GPS-dependent systems. Existing detection methods either require expensive hardware modifications to current GPS devices or lack the basic robustness against sophisticated attacks, hurting their adoption and usage in practice. In this paper, we propose a novel GPS spoofing detection framework that works with off-the-shelf GPS chipsets. Our basic…

Publication

DICE*: A Formally Verified Implementation of DICE Measured Boot 

by Zhe Tao; et. al.

Measured boot is an important class of boot protocols that ensure that each layer of firmware and software in a device’s chain of trust is measured, and the measurements are reliably recorded for subsequent verification. This paper presents DICE*, a formal specification as well as a formally verified implementation of DICE, an industry standard measured boot protocol. DICE* is proved to be functionally correct, memory-safe, and resistant to timing- and cache-based side-channels. A key component…

Publication

Minimum Bayes Risk Training for End-to-End Speaker-Attributed ASR 

by Naoyuki Kanda; et. al.

Recently, an end-to-end speaker-attributed automatic speech recognition (E2E SA-ASR) model was proposed as a joint model of speaker counting, speech recognition and speaker identification for monaural overlapped speech. In the previous study, the model parameters were trained based on the speaker-attributed maximum mutual information (SA-MMI) criterion, with which the joint posterior probability for multi-talker transcription and speaker identification are maximized over training data. Although SA-MMI training showed promising results for overlapped speech consisting of various…

Publication

Microsoft Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2020 

by Xiong Xiao; et. al.

This paper describes the Microsoft speaker diarization system for monaural multi-talker recordings in the wild, evaluated at the diarization track of the VoxCeleb Speaker Recognition Challenge (VoxSRC) 2020. We will first explain our system design to address issues in handling real multi-talker recordings. We then present the details of the components, which include Res2Net-based speaker embedding extractor, conformer-based continuous speech separation with leakage filtering, and a modified DOVER (short for Diarization Output Voting Error Reduction)…

Publication

Hypothesis Stitcher for End-to-End Speaker-attributed ASR on Long-form Multi-talker Recordings 

by Xuankai Chang; et. al.

An end-to-end (E2E) speaker-attributed automatic speech recognition (SA-ASR) model was proposed recently to jointly perform speaker counting, speech recognition and speaker identification. The model achieved a low speaker-attributed word error rate (SA-WER) for monaural overlapped speech comprising an unknown number of speakers. However, the E2E modeling approach is susceptible to the mismatch between the training and testing conditions. It has yet to be investigated whether the E2E SA-ASR model works well for recordings that are…