activity
20162022
most citedDid you hear that? Adversarial Examples Against Automatic Speech Recognition

198 citations · 302 across the 10 of their papers we have counts for

collaborators

20 papers

cs.LG2022

Combining Individual and Joint Networking Behavior for Intelligent IoT Analytics

Jeya Vikranth Jeyakumar, Ludmila Cherkasova, Saina Lajevardi +4

The IoT vision of a trillion connected devices over the next decade requires reliable end-to-end connectivity and automated device management platforms. While we have seen successf…

cs.SD20212 cited

Using DeepProbLog to perform Complex Event Processing on an Audio Stream

Marc Roig Vilamala, Tianwei Xing, Harrison Taylor +6

In this paper, we present an approach to Complex Event Processing (CEP) that is based on DeepProbLog. This approach has the following objectives: (i) allowing the use of subsymboli…

cs.CV20211 cited

Towards Imperceptible Query-limited Adversarial Attacks with Perceptual Feature Fidelity Loss

Pengrui Quan, Ruiming Guo, Mani Srivastava

Recently, there has been a large amount of work towards fooling deep-learning-based classifiers, particularly for images, via adversarial inputs that are visually similar to the be…

cs.AI20202 cited

An Experimentation Platform for Explainable Coalition Situational Understanding

Katie Barrett-Powell, Jack Furby, Liam Hiley +8

We present an experimentation platform for coalition situational understanding research that highlights capabilities in explainable artificial intelligence/machine learning (AI/ML)…

cs.MA2020

Towards human-agent knowledge fusion (HAKF) in support of distributed coalition teams

Dave Braines, Federico Cerutti, Marc Roig Vilamala +3

Future coalition operations can be substantially augmented through agile teaming between human and machine agents, but in a coalition context these agents may be unfamiliar to the…

cs.AI2020

A Hybrid Neuro-Symbolic Approach for Complex Event Processing

Marc Roig Vilamala, Harrison Taylor, Tianwei Xing +6

Training a model to detect patterns of interrelated events that form situations of interest can be a complex problem: such situations tend to be uncommon, and only sparse data is a…