2 citations · 4 across the 4 of their papers we have counts for
7 papers
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It
Trung Dang, Om Thakkar, Swaroop Ramaswamy +3
End-to-end Automatic Speech Recognition (ASR) models are commonly trained over spoken utterances using optimization methods like Stochastic Gradient Descent (SGD). In distributed s…
Revisiting the Prepositional-Phrase Attachment Problem Using Explicit Commonsense Knowledge
Yida Xin, Henry Lieberman, Peter Chin
We revisit the challenging problem of resolving prepositional-phrase (PP) attachment ambiguity. To date, proposed solutions are either rule-based, where explicit grammar rules dire…
GymFG: A Framework with a Gym Interface for FlightGear
Andrew Wood, Ali Sydney, Peter Chin +2
Over the past decades, progress in deployable autonomous flight systems has slowly stagnated. This is reflected in today's production air-crafts, where pilots only enable simple ph…
AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks
Xiao Wang, Siyue Wang, Pin-Yu Chen +2
Designing effective defense against adversarial attacks is a crucial topic as deep neural networks have been proliferated rapidly in many security-critical domains such as malware…
Tree-Transformer: A Transformer-Based Method for Correction of Tree-Structured Data
Jacob Harer, Chris Reale, Peter Chin
Many common sequential data sources, such as source code and natural language, have a natural tree-structured representation. These trees can be generated by fitting a sequence to…
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks
Jacob Harer, Onur Ozdemir, Tomo Lazovich +4
Motivated by the problem of automated repair of software vulnerabilities, we propose an adversarial learning approach that maps from one discrete source domain to another target do…